| | Models |
| 1. |
2D model of olfactory bulb gamma oscillations (Li and Cleland 2017)
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| 2. |
3D model of the olfactory bulb (Migliore et al. 2014)
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| 3. |
3D olfactory bulb: operators (Migliore et al, 2015)
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| 4. |
5-neuron-model of neocortex for producing realistic extracellular AP shapes (Van Dijck et al. 2012)
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| 5. |
A 1000 cell network model for Lateral Amygdala (Kim et al. 2013)
|
| 6. |
A cerebellar model of phase-locked tACS for essential tremor (Schreglmann et al., 2021)
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| 7. |
A computational model of action selection in the basal ganglia (Suryanarayana et al 2019)
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| 8. |
A computational model of oxytocin modulation of olfactory recognition memory (Linster & Kelsch 2019)
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| 9. |
A computational model of single-neuron perturbations (Sadeh and Clopath 2020)
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| 10. |
A contracting model of the basal ganglia (Girard et al. 2008)
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| 11. |
A cortico-cerebello-thalamo-cortical loop model under essential tremor (Zhang & Santaniello 2019)
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| 12. |
A detailed and fast model of extracellular recordings (Camunas-Mesa & Qurioga 2013)
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| 13. |
A detailed data-driven network model of prefrontal cortex (Hass et al 2016)
|
| 14. |
A focal seizure model with ion concentration changes (Gentiletti et al., 2022)
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| 15. |
A full-scale cortical microcircuit spiking network model (Shimoura et al 2018)
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| 16. |
A gap junction network of Amacrine Cells controls Nitric Oxide release (Jacoby et al 2018)
|
| 17. |
A large-scale model of the functioning brain (spaun) (Eliasmith et al. 2012)
|
| 18. |
A microcircuit model of the frontal eye fields (Heinzle et al. 2007)
|
| 19. |
A Model Circuit of Thalamocortical Convergence (Behuret et al. 2013)
|
| 20. |
A model for focal seizure onset, propagation, evolution, and progression (Liou et al 2020)
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| 21. |
A model of antennal lobe of bee (Chen JY et al. 2015)
|
| 22. |
A model of ASIC1a and synaptic cleft pH modulating wind-up in wide dynamic range neurons (Delrocq)
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| 23. |
A model of the femur-tibia control system in stick insects (Stein et al. 2008)
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| 24. |
A model of the temporal pattern generator of C. elegans egg-laying behavior (Zhang et. al 2010)
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| 25. |
A model of working memory for encoding multiple items (Ursino et al, in press)
|
| 26. |
A Moth MGC Model-A HH network with quantitative rate reduction (Buckley & Nowotny 2011)
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| 27. |
A multilayer cortical model to study seizure propagation across microdomains (Basu et al. 2015)
|
| 28. |
A network model of tail withdrawal in Aplysia (White et al 1993)
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| 29. |
A network model of the vertebrate retina (Publio et al. 2009)
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| 30. |
A network of AOB mitral cells that produces infra-slow bursting (Zylbertal et al. 2017)
|
| 31. |
A simulation method for the firing sequences of motor units (Jiang et al 2006)
|
| 32. |
A single column thalamocortical network model (Traub et al 2005)
|
| 33. |
A spatial model of the intermediate superior colliculus (Moren et. al. 2013)
|
| 34. |
A spiking model of cortical broadcast and competition (Shanahan 2008)
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| 35. |
A spiking neural network model of model-free reinforcement learning (Nakano et al 2015)
|
| 36. |
A spiking neural network model of the Lateral Geniculate Nucleus (Sen-Bhattacharya et al 2017)
|
| 37. |
A spiking NN for amplification of feature-selectivity with specific connectivity (Sadeh et al 2015)
|
| 38. |
A two networks model of connectivity-dependent oscillatory activity (Avella OJ et al. 2014)
|
| 39. |
A two-layer biophysical olfactory bulb model of cholinergic neuromodulation (Li and Cleland 2013)
|
| 40. |
A unified thalamic model of multiple distinct oscillations (Li, Henriquez and Fröhlich 2017)
|
| 41. |
Acetylcholine-modulated plasticity in reward-driven navigation (Zannone et al 2018)
|
| 42. |
ACh modulation in olfactory bulb and piriform cortex (de Almeida et al. 2013;Devore S, et al. 2014)
|
| 43. |
ACnet23 primary auditory cortex model (Beeman et al 2019)
|
| 44. |
Activity constraints on stable neuronal or network parameters (Olypher and Calabrese 2007)
|
| 45. |
Activity patterns in a subthalamopallidal network of the basal ganglia model (Terman et al 2002)
|
| 46. |
Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014)
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| 47. |
Alpha rhythm in vitro visual cortex (Traub et al 2020)
|
| 48. |
An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al 2013)
|
| 49. |
An electrophysiological model of GABAergic double bouquet cells (Chrysanthidis et al. 2019)
|
| 50. |
Asynchronous irregular and up/down states in excitatory and inhibitory NNs (Destexhe 2009)
|
| 51. |
Auditory cortex layer IV network model (Beeman 2013)
|
| 52. |
Axonal gap junctions produce fast oscillations in cerebellar Purkinje cells (Traub et al. 2008)
|
| 53. |
Basal ganglia network model of subthalamic deep brain stimulation (Hahn and McIntyre 2010)
|
| 54. |
Basal ganglia-thalamic network model for deep brain stimulation (So et al. 2012)
|
| 55. |
Basis for temporal filters in the cerebellar granular layer (Roessert et al. 2015)
|
| 56. |
Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
|
| 57. |
Biophysical model for field potentials of networks of I&F neurons (beim Graben & Serafim 2013)
|
| 58. |
Biophysically Realistic Network Model of the Wild-Type and Degenerate Retina (Ly et al 2022)
|
| 59. |
Biophysically realistic neural modeling of the MEG mu rhythm (Jones et al. 2009)
|
| 60. |
Broadening of activity with flow across neural structures (Lytton et al. 2008)
|
| 61. |
Burst induced synaptic plasticity in Apysia sensorimotor neurons (Phares et al 2003)
|
| 62. |
Bursting and oscillations in RD1 Retina driven by AII Amacrine Neuron (Choi et al. 2014)
|
| 63. |
Bursting respiratory net: clustered architecture gives large phase diff`s (Fietkiewicz et al 2011)
|
| 64. |
Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
|
| 65. |
CA1 network model for place cell dynamics (Turi et al 2019)
|
| 66. |
CA1 network model: interneuron contributions to epileptic deficits (Shuman et al 2020)
|
| 67. |
CA1 pyr cell: Inhibitory modulation of spatial selectivity+phase precession (Grienberger et al 2017)
|
| 68. |
CA1 pyramidal cell: reconstructed axonal arbor and failures at weak gap junctions (Vladimirov 2011)
|
| 69. |
CA1 pyramidal cells, basket cells, ripples (Malerba et al 2016)
|
| 70. |
CA1 pyramidal neuron network model (Ferguson et al 2015)
|
| 71. |
Ca2+-activated I_CAN and synaptic depression promotes network-dependent oscil. (Rubin et al. 2009)
|
| 72. |
CA3 Network Model of Epileptic Activity (Sanjay et. al, 2015)
|
| 73. |
Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
|
| 74. |
Cell splitting in neural networks extends strong scaling (Hines et al. 2008)
|
| 75. |
Cerebellar cortex oscil. robustness from Golgi cell gap jncs (Simoes de Souza and De Schutter 2011)
|
| 76. |
Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012)
|
| 77. |
Cerebellar granular layer (Maex and De Schutter 1998)
|
| 78. |
Cerebellar Model for the Optokinetic Response (Kim and Lim 2021)
|
| 79. |
Changes of ionic concentrations during seizure transitions (Gentiletti et al. 2016)
|
| 80. |
Classic model of the Tritonia Swim CPG (Getting, 1989)
|
| 81. |
Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005)
|
| 82. |
Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
|
| 83. |
Competing oscillator 5-cell circuit and Parameterscape plotting (Gutierrez et al. 2013)
|
| 84. |
Competition for AP initiation sites in a circuit controlling simple learning (Cruz et al. 2007)
|
| 85. |
Competition model of pheromone ratio detection (Zavada et al. 2011)
|
| 86. |
Complex dynamics: reproducing Golgi cell electroresponsiveness (Geminiani et al 2018, 2019ab)
|
| 87. |
Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
|
| 88. |
Computational analysis of NN activity and spatial reach of sharp wave-ripples (Canakci et al 2017)
|
| 89. |
Computational aspects of feedback in neural circuits (Maass et al 2006)
|
| 90. |
Computational Model of a Central Pattern Generator (Cataldo et al 2006)
|
| 91. |
Computational model of the distributed representation of operant reward memory (Costa et al. 2020)
|
| 92. |
Computational Surgery (Lytton et al. 2011)
|
| 93. |
Computer model of clonazepam's effect in thalamic slice (Lytton 1997)
|
| 94. |
Computing with neural synchrony (Brette 2012)
|
| 95. |
Conductance-based model of Layer-4 in the barrel cortex (Argaman et Golomb 2017)
|
| 96. |
Contribution of ATP-sensitive potassium channels in the neuronal network (Huang et al. 2009)
|
| 97. |
Convergence regulates synchronization-dependent AP transfer in feedforward NNs (Sailamul et al 2017)
|
| 98. |
Core respiratory network organization: Insights from optogenetics and modeling (Ausborn et al 2018)
|
| 99. |
COREM: configurable retina simulator (Martínez-Cañada et al., 2016)
|
| 100. |
Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016)
|
| 101. |
Cortical Basal Ganglia Network Model during Closed-loop DBS (Fleming et al 2020)
|
| 102. |
Cortical feedback alters visual response properties of dLGN relay cells (Martínez-Cañada et al 2018)
|
| 103. |
Cortical Interneuron & Pyramidal Cell Model of Cortical Spreading Depression (Stein & Harris 2022)
|
| 104. |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
|
| 105. |
Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017)
|
| 106. |
Current Dipole in Laminar Neocortex (Lee et al. 2013)
|
| 107. |
Decoding movement trajectory from simulated grid cell population activity (Bush & Burgess 2019)
|
| 108. |
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
|
| 109. |
Decorrelation in the developing visual thalamus (Tikidji-Hamburyan et al, accepted)
|
| 110. |
Default mode network model (Matsui et al 2014)
|
| 111. |
Dentate gyrus (Morgan et al. 2007, 2008, Santhakumar et al. 2005, Dyhrfjeld-Johnsen et al. 2007)
|
| 112. |
Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009)
|
| 113. |
Dentate Gyrus model including Granule cells with dendritic compartments (Chavlis et al 2017)
|
| 114. |
Dentate gyrus network model (Santhakumar et al 2005)
|
| 115. |
Dentate gyrus network model (Tejada et al 2014)
|
| 116. |
Dentate gyrus network model pattern separation and granule cell scaling in epilepsy (Yim et al 2015)
|
| 117. |
Development and Binocular Matching of Orientation Selectivity in Visual Cortex (Xu et al 2020)
|
| 118. |
Development of orientation-selective simple cell receptive fields (Rishikesh and Venkatesh, 2003)
|
| 119. |
Different roles for inhibition in the rhythm-generating respiratory network (Harris et al 2017)
|
| 120. |
Diffusive homeostasis in a spiking network model (Sweeney et al. 2015)
|
| 121. |
Disrupted information processing in Fmr1-KO mouse layer 4 barrel cortex (Domanski et al 2019)
|
| 122. |
Distal inhibitory control of sensory-evoked excitation (Egger, Schmitt et al. 2015)
|
| 123. |
Distance-dependent inhibition in the hippocampus (Strüber et al. 2017)
|
| 124. |
Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013)
|
| 125. |
Distributed representation of perceptual categories in the auditory cortex (Kim and Bao 2008)
|
| 126. |
Distributed synaptic plasticity and spike timing (Garrido et al. 2013)
|
| 127. |
Distributed working memory in large-scale macaque brain model (Mejias and Wang, 2022)
|
| 128. |
Duration-tuned neurons from the inferior colliculus of the big brown bat (Aubie et al. 2009)
|
| 129. |
Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
|
| 130. |
Dynamic cortical interlaminar interactions (Carracedo et al. 2013)
|
| 131. |
Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
|
| 132. |
Dynamical patterns underlying response properties of cortical circuits (Keane et al 2018)
|
| 133. |
Dynamics in random NNs with multiple neuron subtypes (Pena et al 2018, Tomov et al 2014, 2016)
|
| 134. |
Dynamics of sleep oscillations coupled to brain temperature on multiple scales (Csernai et al 2019)
|
| 135. |
Effect of polysynaptic facilitaiton between piriform-hippocampal network stages (Trieu et al 2015)
|
| 136. |
Effects of Guanfacine and Phenylephrine on a model of working memory (Duggins et al 2017)
|
| 137. |
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
|
| 138. |
Effects of spinal cord stimulation on WDR dorsal horn network (Zhang et al 2014)
|
| 139. |
Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011)
|
| 140. |
Electrically-coupled Retzius neurons (Vazquez et al. 2009)
|
| 141. |
Electrodecrements in in vitro model of infantile spasms (Traub et al 2020)
|
| 142. |
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
|
| 143. |
ELL pyramidal neuron (Simmonds and Chacron 2014)
|
| 144. |
Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
|
| 145. |
Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
|
| 146. |
Emergence of spatiotemporal sequences in spiking neuronal networks (Spreizer et al 2019)
|
| 147. |
Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009)
|
| 148. |
Engaging distinct oscillatory neocortical circuits (Vierling-Claassen et al. 2010)
|
| 149. |
Epilepsy may be caused by very small functional changes in ion channels (Thomas et al. 2009)
|
| 150. |
Epileptic seizure model with Morris-Lecar neurons (Beverlin and Netoff 2011)
|
| 151. |
Escape response latency in the Giant Fiber System of Drosophila melanogastor (Augustin et al 2019)
|
| 152. |
Event-related simulation of neural processing in complex visual scenes (Mihalas et al. 2011)
|
| 153. |
Excitatory and inhibitory interactions in populations of model neurons (Wilson and Cowan 1972)
|
| 154. |
Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017)
|
| 155. |
Excitotoxic loss of dopaminergic cells in PD (Muddapu et al 2019)
|
| 156. |
Explainable AI for spatial navigation based on hippocampal circuitry (Coppolino + Migliore 2023)
|
| 157. |
Failure of Deep Brain Stimulation in a basal ganglia neuronal network model (Dovzhenok et al. 2013)
|
| 158. |
Fast convergence of cerebellar learning (Luque et al. 2015)
|
| 159. |
Fast global oscillations in networks of I&F neurons with low firing rates (Brunel and Hakim 1999)
|
| 160. |
Fast oscillations in inhibitory networks (Maex, De Schutter 2003)
|
| 161. |
Feedforward heteroassociative network with HH dynamics (Lytton 1998)
|
| 162. |
First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018)
|
| 163. |
Fixed point attractor (Hasselmo et al 1995)
|
| 164. |
FNS spiking neural simulator; LIFL neuron model, event-driven simulation (Susi et al 2021)
|
| 165. |
Formation of synfire chains (Jun and Jin 2007)
|
| 166. |
FRAT: An amygdala-centered model of fear conditioning (Krasne et al. 2011)
|
| 167. |
Fronto-parietal visuospatial WM model with HH cells (Edin et al 2007)
|
| 168. |
Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks (Magalhaes et al 2019)
|
| 169. |
Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
|
| 170. |
Functional consequences of cortical circuit abnormalities on gamma in schizophrenia (Spencer 2009)
|
| 171. |
Functional properties of dendritic gap junctions in Cerebellar Golgi cells (Szoboszlay et al. 2016)
|
| 172. |
Gamma and theta rythms in biophysical models of hippocampus circuits (Kopell et al. 2011)
|
| 173. |
Gamma genesis in the basolateral amygdala (Feng et al 2019)
|
| 174. |
Gamma oscillations in hippocampal interneuron networks (Bartos et al 2002)
|
| 175. |
Gamma oscillations in hippocampal interneuron networks (Wang, Buzsaki 1996)
|
| 176. |
Gamma-beta alternation in the olfactory bulb (David, Fourcaud-Trocmé et al., 2015)
|
| 177. |
Gap junction coupled network of striatal fast spiking interneurons (Hjorth et al. 2009)
|
| 178. |
Gap junction plasticity as a mechanism to regulate network-wide oscillations (Pernelle et al 2018)
|
| 179. |
Gap-junction coupled network activity depends on coupled dendrites diameter (Gansert et al. 2007)
|
| 180. |
Gating of steering signals through phasic modulation of reticulospinal neurons (Kozlov et al. 2014)
|
| 181. |
Generating coherent patterns of activity from chaotic neural networks (Sussillo and Abbott 2009)
|
| 182. |
Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009)
|
| 183. |
GLMCC validation neural network model (Kobayashi et al. 2019)
|
| 184. |
Graph-theoretical Derivation of Brain Structural Connectivity (Giacopelli et al 2020)
|
| 185. |
Grid cell oscillatory interference with noisy network oscillators (Zilli and Hasselmo 2010)
|
| 186. |
Grid cell spatial firing models (Zilli 2012)
|
| 187. |
Grid cells from place cells (Castro & Aguiar, 2014)
|
| 188. |
Growth Rules for Repair of Asynch Irregular Networks after Peripheral Lesions (Sinha et al 2021)
|
| 189. |
H-currents effect on the fluctuation of gamma/beta oscillations (Avella-Gonzalez et al., 2015)
|
| 190. |
Half-center oscillator database of leech heart interneuron model (Doloc-Mihu & Calabrese 2011)
|
| 191. |
Healthy and Epileptic Hippocampal Circuit (Aussel et al 2022)
|
| 192. |
Hierarchical network model of perceptual decision making (Wimmer et al 2015)
|
| 193. |
High dimensional dynamics and low dimensional readouts in neural microcircuits (Haeusler et al 2006)
|
| 194. |
High frequency oscillations in a hippocampal computational model (Stacey et al. 2009)
|
| 195. |
High frequency stimulation of the Subthalamic Nucleus (Rubin and Terman 2004)
|
| 196. |
Hippocampal basket cell gap junction network dynamics (Saraga et al. 2006)
|
| 197. |
Hippocampal CA1 NN with spontaneous theta, gamma: full scale & network clamp (Bezaire et al 2016)
|
| 198. |
Hippocampal CA3 network and circadian regulation (Stanley et al. 2013)
|
| 199. |
Hippocampal spiking model for context dependent behavior (Raudies & Hasselmo 2014)
|
| 200. |
Hippocampus temporo-septal engram shift model (Lytton 1999)
|
| 201. |
Homeostatic mechanisms may shape oscillatory modulations (Peterson & Voytek 2020)
|
| 202. |
Homosynaptic plasticity in the tail withdrawal circuit (TWC) of Aplysia (Baxter and Byrne 2006)
|
| 203. |
Hopfield and Brody model (Hopfield, Brody 2000)
|
| 204. |
Hopfield and Brody model (Hopfield, Brody 2000) (NEURON+python)
|
| 205. |
Human Attentional Networks: A Connectionist Model (Wang and Fan 2007)
|
| 206. |
Human L5 Cortical Circuit (Guet-McCreight)
|
| 207. |
Human layer 2/3 cortical microcircuits in health and depression (Yao et al, 2022)
|
| 208. |
Human sleep/wake cycle (Rempe et al. 2010)
|
| 209. |
Human tactile FA1 neurons (Hay and Pruszynski 2020)
|
| 210. |
Huntington`s disease model (Gambazzi et al. 2010)
|
| 211. |
Hybrid oscillatory interference / continuous attractor NN of grid cell firing (Bush & Burgess 2014)
|
| 212. |
Hyperconnectivity, slow synapses in PFC mental retardation and autism model (Testa-Silva et al 2011)
|
| 213. |
I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
|
| 214. |
Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013)
|
| 215. |
In silico hippocampal modeling for multi-target pharmacotherapy in schizophrenia (Sherif et al 2020)
|
| 216. |
Inferior Olive, subthreshold oscillations (Torben-Nielsen, Segev, Yarom 2012)
|
| 217. |
Information-processing in lamina-specific cortical microcircuits (Haeusler and Maass 2006)
|
| 218. |
Inhibition and glial-K+ interaction leads to diverse seizure transition modes (Ho & Truccolo 2016)
|
| 219. |
Inhibition perturbations reveals dynamical structure of neural processing (Sadeh & Clopath 2020)
|
| 220. |
Inhibitory cells enable sparse coding in V1 model (King et al. 2013)
|
| 221. |
Inhibitory control by an integral feedback signal in prefrontal cortex (Miller and Wang 2006)
|
| 222. |
Inhibitory neuron plasticity as a mechanism for ocular dominance plasticity (Bono & Clopath 2019)
|
| 223. |
Interaction of leak and IMI conductance on the STG over broad temperature range (Stadele et al 2015)
|
| 224. |
Interaural time difference detection by slowly integrating neurons (Vasilkov Tikidji-Hamburyan 2012)
|
| 225. |
Investigation of different targets in deep brain stimulation for Parkinson`s (Pirini et al. 2009)
|
| 226. |
Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006)
|
| 227. |
JitCon: Just in time connectivity for large spiking networks (Lytton et al. 2008)
|
| 228. |
Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011)
|
| 229. |
KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008)
|
| 230. |
Knox implementation of Destexhe 1998 spike and wave oscillation model (Knox et al 2018)
|
| 231. |
L4 cortical barrel NN model receiving thalamic input during whisking or touch (Gutnisky et al. 2017)
|
| 232. |
Laminar analysis of excitatory circuits in vibrissal motor and sensory cortex (Hooks et al. 2011)
|
| 233. |
Laminar connectivity matrix simulation (Weiler et al 2008)
|
| 234. |
Large cortex model with map-based neurons (Rulkov et al 2004)
|
| 235. |
Large scale model of the olfactory bulb (Yu et al., 2013)
|
| 236. |
Large scale neocortical model for PGENESIS (Crone et al 2019)
|
| 237. |
Large-scale model of neocortical slice in vitro exhibiting persistent gamma (Tomsett et al. 2014)
|
| 238. |
Large-scale neural model of visual short-term memory (Ulloa, Horwitz 2016; Horwitz, et al. 2005,...)
|
| 239. |
Large-scale neuromusculoskeletal model of human upright standing (Elias et al 2014)
|
| 240. |
Late emergence of the whisker direction selectivity map in rat barrel cortex (Kremer et al. 2011)
|
| 241. |
Lateral dendrodenditic inhibition in the Olfactory Bulb (David et al. 2008)
|
| 242. |
Lateral entorhinal cortex network model (Traub and Whittington, in press)
|
| 243. |
Learning spatial transformations through STDP (Davison, Frégnac 2006)
|
| 244. |
Leech Heart (HE) Motor Neuron conductances contributions to NN activity (Lamb & Calabrese 2013)
|
| 245. |
Leech Heart Interneuron model (Sharma et al 2020)
|
| 246. |
Leech heart interneuron network model (Hill et al 2001, 2002)
|
| 247. |
Levodopa-Induced Toxicity in Parkinson's Disease (Muddapu et al, 2022)
|
| 248. |
LFP signature of monosynaptic thalamocortical connection (Hagen et al 2017)
|
| 249. |
LGNcircuit: Minimal LGN network model of temporal processing of visual input (Norheim et al. 2012)
|
| 250. |
Linking dynamics of the inhibitory network to the input structure (Komarov & Bazhenov 2016)
|
| 251. |
Linking STDP and Dopamine action to solve the distal reward problem (Izhikevich 2007)
|
| 252. |
LIP and FEF rhythmic attention model (Aussel et al. 2023)
|
| 253. |
Lobster STG pyloric network model with calcium sensor (Gunay & Prinz 2010) (Prinz et al. 2004)
|
| 254. |
Locust olfactory network with GGN and full KC population in the mushroom body (Ray et al 2020)
|
| 255. |
Logarithmic distributions prove that intrinsic learning is Hebbian (Scheler 2017)
|
| 256. |
Long time windows from theta modulated inhib. in entorhinal–hippo. loop (Cutsuridis & Poirazi 2015)
|
| 257. |
Loss of phase-locking in non-weakly coupled inhib. networks of type-I neurons (Oh and Matveev 2009)
|
| 258. |
Maximum entropy model to predict spatiotemporal spike patterns (Marre et al. 2009)
|
| 259. |
MDD: the role of glutamate dysfunction on Cingulo-Frontal NN dynamics (Ramirez-Mahaluf et al 2017)
|
| 260. |
Mean Field Equations for Two-Dimensional Integrate and Fire Models (Nicola and Campbell, 2013)
|
| 261. |
Mean-field models of neural populations under electrical stimulation (Cakan & Obermayer 2020)
|
| 262. |
Mechanisms for stable, robust, and adaptive development of orientation maps (Stevens et al. 2013)
|
| 263. |
Mechanisms of very fast oscillations in axon networks coupled by gap junctions (Munro, Borgers 2010)
|
| 264. |
Medial reticular formation of the brainstem: anatomy and dynamics (Humphries et al. 2006, 2007)
|
| 265. |
MEG of Somatosensory Neocortex (Jones et al. 2007)
|
| 266. |
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018)
|
| 267. |
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN)
|
| 268. |
Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015)
|
| 269. |
Minimal model of interictal and ictal discharges “Epileptor-2” (Chizhov et al 2018)
|
| 270. |
Mitral cell activity gating by respiration and inhibition in an olfactory bulb NN (Short et al 2016)
|
| 271. |
Model of arrhythmias in a cardiac cells network (Casaleggio et al. 2014)
|
| 272. |
Model of CA1 activity during working memory task (Spera et al. 2016)
|
| 273. |
Model of eupnea and sigh generation in respiratory network (Toporikova et al 2015)
|
| 274. |
Model of long range transmission of gamma oscillation (Murray 2007)
|
| 275. |
Model of memory linking through memory allocation (Kastellakis et al. 2016)
|
| 276. |
Model of the cerebellar granular network (Sudhakar et al 2017)
|
| 277. |
Model of working memory based on negative derivative feedback (Lim and Goldman, 2013)
|
| 278. |
Modeling and MEG evidence of early consonance processing in auditory cortex (Tabas et al 2019)
|
| 279. |
Modeling dendritic spikes and plasticity (Bono and Clopath 2017)
|
| 280. |
Modeling epileptic seizure induced by depolarization block (Kim & Dykamp 2017)
|
| 281. |
Modeling hebbian and homeostatic plasticity (Toyoizumi et al. 2014)
|
| 282. |
Modeling the effects of dopamine on network synchronization (Komek et al. 2012)
|
| 283. |
Modelling enteric neuron populations and muscle fed-state motor patterns (Chambers et al. 2011)
|
| 284. |
Modelling platform of the cochlear nucleus and other auditory circuits (Manis & Compagnola 2018)
|
| 285. |
Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017)
|
| 286. |
Models of Vector Navigation with Grid Cells (Bush et al., 2015)
|
| 287. |
Modular grid cell responses as a basis for hippocampal remapping (Monaco and Abbott 2011)
|
| 288. |
Modulation of hippocampal rhythms by electric fields and network topology (Berzhanskaya et al. 2013)
|
| 289. |
Modulation of septo-hippocampal theta activity by GABAA receptors (Hajos et al. 2004)
|
| 290. |
Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
|
| 291. |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
|
| 292. |
Multi-area layer-resolved spiking network model of resting-state dynamics in macaque visual cortex
|
| 293. |
Multiplication by NMDA receptors in Direction Selective Ganglion cells (Poleg-Polsky & Diamond 2016)
|
| 294. |
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
|
| 295. |
Multiscale model of primary motor cortex circuits predicts in vivo dynamics (Dura-Bernal et al 2023)
|
| 296. |
Multisensory integration in the superior colliculus: a neural network model (Ursino et al. 2009)
|
| 297. |
Multistability of clustered states in a globally inhibitory network (Chandrasekaran et al. 2009)
|
| 298. |
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
|
| 299. |
Muscle spindle feedback circuit (Moraud et al, 2016)
|
| 300. |
Na channel mutations in the dentate gyrus (Thomas et al. 2009)
|
| 301. |
Neocort. pyramidal cells subthreshold somatic voltage controls spike propagation (Munro Kopell 2012)
|
| 302. |
NETMORPH: creates NNs with realistic neuron morphologies (Koene et al. 2009, van Ooyen et al. 2014)
|
| 303. |
Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)
|
| 304. |
Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998)
|
| 305. |
Network model with dynamic ion concentrations (Ullah et al. 2009)
|
| 306. |
Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
|
| 307. |
Network models of frequency modulated sweep detection (Skorheim et al. 2014)
|
| 308. |
Network recruitment to coherent oscillations in a hippocampal model (Stacey et al. 2011)
|
| 309. |
Network topologies for producing limited sustained activation (Kaiser and Hilgetag 2010)
|
| 310. |
Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)
|
| 311. |
Neural Interactome: interactive simulation of a neuronal system (Kim et al 2019)
|
| 312. |
Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014)
|
| 313. |
Neural model of frog ventilatory rhythmogenesis (Horcholle-Bossavit and Quenet 2009)
|
| 314. |
Neural modeling of an internal clock (Yamazaki and Tanaka 2008)
|
| 315. |
Neural transformations on spike timing information (Tripp and Eliasmith 2007)
|
| 316. |
Neurogenesis in the olfactory bulb controlled by top-down input (Adams et al 2018)
|
| 317. |
Neuromorphic muscle spindle model (Vannucci et al 2017)
|
| 318. |
Neuron-based control mechanisms for a robotic arm and hand (Singh et al 2017)
|
| 319. |
Neuronify: An Educational Simulator for Neural Circuits (Dragly et al 2017)
|
| 320. |
NMDAR & GABAB/KIR Give Bistable Dendrites: Working Memory & Sequence Readout (Sanders et al., 2013)
|
| 321. |
Noise promotes independent control of gamma oscillations and grid firing (Solanka et al 2015)
|
| 322. |
Nonlinear dendritic processing in barrel cortex spiny stellate neurons (Lavzin et al. 2012)
|
| 323. |
Normal ripples, abnormal ripples, and fast ripples in a hippocampal model (Fink et al. 2015)
|
| 324. |
Norns - Neural Network Studio (Visser & Van Gils 2014)
|
| 325. |
Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009)
|
| 326. |
Olfactory bulb cluster formation (Migliore et al. 2010)
|
| 327. |
Olfactory bulb juxtaglomerular models (Carey et al., 2015)
|
| 328. |
Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)
|
| 329. |
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
|
| 330. |
Olfactory bulb mitral and granule cell: dendrodendritic microcircuits (Migliore and Shepherd 2008)
|
| 331. |
Olfactory bulb mitral cell gap junction NN model: burst firing and synchrony (O`Connor et al. 2012)
|
| 332. |
Olfactory bulb mitral cell: synchronization by gap junctions (Migliore et al 2005)
|
| 333. |
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
|
| 334. |
Olfactory Bulb Network (Davison et al 2003)
|
| 335. |
Olfactory bulb network model of gamma oscillations (Bathellier et al. 2006; Lagier et al. 2007)
|
| 336. |
Olfactory bulb network: neurogenetic restructuring and odor decorrelation (Chow et al. 2012)
|
| 337. |
Olfactory Computations in Mitral-Granule cell circuits (Migliore & McTavish 2013)
|
| 338. |
Optimal deep brain stimulation of the subthalamic nucleus-a computational study (Feng et al. 2007)
|
| 339. |
Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
|
| 340. |
Oscillating neurons in the cochlear nucleus (Bahmer Langner 2006a, b, and 2007)
|
| 341. |
Oscillations emerging from noise-driven NNs (Tchumatchenko & Clopath 2014)
|
| 342. |
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
|
| 343. |
Pallidostriatal projections promote beta oscillations (Corbit, Whalen, et al 2016)
|
| 344. |
Parallel network simulations with NEURON (Migliore et al 2006)
|
| 345. |
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
|
| 346. |
Parallelizing large networks in NEURON (Lytton et al. 2016)
|
| 347. |
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
|
| 348. |
Parvalbumin-positive basket cells differentiate among hippocampal pyramidal cells (Lee et al. 2014)
|
| 349. |
Perceptual judgments via sensory-motor interaction assisted by cortical GABA (Hoshino et al 2018)
|
| 350. |
Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005)
|
| 351. |
Perturbation sensitivity implies high noise and suggests rate coding in cortex (London et al. 2010)
|
| 352. |
Phase oscillator models for lamprey central pattern generators (Varkonyi et al. 2008)
|
| 353. |
Phase precession through acceleration of local theta rhythm (Castro & Aguiar 2011)
|
| 354. |
Phase response theory in sparsely + strongly connected inhibitory NNs (Tikidji-Hamburyan et al 2019)
|
| 355. |
Phasic ACh promotes gamma oscillations in E-I networks (Lu et al, 2020)
|
| 356. |
PING, ING and CHING network models for Gamma oscillations in cortex (Susin and Destexhe 2021)
|
| 357. |
PIR gamma oscillations in network of resonators (Tikidji-Hamburyan et al. 2015)
|
| 358. |
Piriform cortex network model with multicompartment neurons for cell assemblies (Traub et al 2021)
|
| 359. |
Polychronization: Computation With Spikes (Izhikevich 2005)
|
| 360. |
Population models of temporal differentiation (Tripp and Eliasmith 2010)
|
| 361. |
Population-level model of the basal ganglia and action selection (Gurney et al 2001, 2004)
|
| 362. |
Potjans-Diesmann cortical microcircuit model in NetPyNE (Romaro et al 2021)
|
| 363. |
pre-Bötzinger complex variability (Fietkiewicz et al. 2016)
|
| 364. |
Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011)
|
| 365. |
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
|
| 366. |
Purkinje cell: Synaptic activation predicts voltage control of burst-pause (Masoli & D'Angelo 2017)
|
| 367. |
Purkinje neuron network (Zang et al. 2020)
|
| 368. |
Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)
|
| 369. |
Quantitative assessment of computational models for retinotopic map formation (Hjorth et al. 2015)
|
| 370. |
Rapid desynchronization of an electrically coupled Golgi cell network (Vervaeke et al. 2010)
|
| 371. |
Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011)
|
| 372. |
Realistic barrel cortical column - Matlab (Huang et al., 2022)
|
| 373. |
Realistic barrel cortical column - NetPyNE (Huang et al., 2022)
|
| 374. |
Reconstrucing sleep dynamics with data assimilation (Sedigh-Sarvestani et al., 2012)
|
| 375. |
Recurrent amplification of grid-cell activity (D'Albis and Kempter 2020)
|
| 376. |
Reducing variability in motor cortex activity by GABA (Hoshino et al. 2019)
|
| 377. |
Regulation of a slow STG rhythm (Nadim et al 1998)
|
| 378. |
Reichardt Model for Motion Detection in the Fly Visual System (Tuthill et al, 2011)
|
| 379. |
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
|
| 380. |
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
|
| 381. |
Respiratory central pattern generator including Kolliker-Fuse nucleus (Wittman et al 2019)
|
| 382. |
Respiratory central pattern generator network in mammalian brainstem (Rubin et al. 2009)
|
| 383. |
Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008)
|
| 384. |
Reverberatory bursts propagation and synchronization in developing cultured NNs (Huang et al 2016)
|
| 385. |
Reward modulated STDP (Legenstein et al. 2008)
|
| 386. |
Robust Reservoir Generation by Correlation-Based Learning (Yamazaki & Tanaka 2008)
|
| 387. |
Role for short term plasticity and OLM cells in containing spread of excitation (Hummos et al 2014)
|
| 388. |
S cell network (Moss et al 2005)
|
| 389. |
Scaffold model of mouse CA1 hippocampus. (Gandolfi et al 2022)
|
| 390. |
SCN1A gain-of-function in early infantile encephalopathy (Berecki et al 2019)
|
| 391. |
Self-organized olfactory pattern recognition (Kaplan & Lansner 2014)
|
| 392. |
Sensitivity of noisy neurons to coincident inputs (Rossant et al. 2011)
|
| 393. |
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
|
| 394. |
Sensory feedback in an oscillatory interference model of place cell activity (Monaco et al. 2011)
|
| 395. |
Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020)
|
| 396. |
Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
|
| 397. |
Simulation studies on mechanisms of levetiracetam-mediated inhibition of IK(DR) (Huang et al. 2009)
|
| 398. |
Simulation system of spinal cord motor nuclei and assoc. nerves and muscles (Cisi and Kohn 2008)
|
| 399. |
Simulations of oscillations in piriform cortex (Wilson & Bower 1992)
|
| 400. |
Single E-I oscillating network with amplitude modulation (Avella Gonzalez et al. 2012)
|
| 401. |
Single Trial Sequence learning: a spiking neurons model based on hippocampus (Coppolino et al 2021)
|
| 402. |
Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
|
| 403. |
Slow wave propagation in the guinea-pig gastric antrum (Hirst et al. 2006, Edwards and Hirst 2006)
|
| 404. |
Small world networks of Type I and Type II Excitable Neurons (Bogaard et al. 2009)
|
| 405. |
Software for teaching neurophysiology of neuronal circuits (Grisham et al. 2008)
|
| 406. |
Sparse connectivity is required for decorrelation, pattern separation (Cayco-Gajic et al 2017)
|
| 407. |
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019)
|
| 408. |
Spike exchange methods for a Blue Gene/P supercomputer (Hines et al., 2011)
|
| 409. |
Spike-Timing-Based Computation in Sound Localization (Goodman and Brette 2010)
|
| 410. |
Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
|
| 411. |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
|
| 412. |
Spiking neuron model of the basal ganglia (Humphries et al 2006)
|
| 413. |
Spinal circuits controlling limb coordination and gaits in quadrupeds (Danner et al 2017)
|
| 414. |
Spinal Dorsal Horn Network Model (Medlock et al 2022)
|
| 415. |
Spontaneous weakly correlated excitation and inhibition (Tan et al. 2013)
|
| 416. |
Stability of complex spike timing-dependent plasticity in cerebellar learning (Roberts 2007)
|
| 417. |
Stable propagation of synchronous spiking in cortical neural networks (Diesmann et al 1999)
|
| 418. |
State dependent drug binding to sodium channels in the dentate gyrus (Thomas & Petrou 2013)
|
| 419. |
State-dependent rhythmogenesis in a half-center locomotor CPG (Ausborn et al 2017)
|
| 420. |
Statistics of symmetry measure for networks of neurons (Esposito et al. 2014)
|
| 421. |
Status epilepticus alters dentate basket cell tonic inhibition (Yu J et al 2013)
|
| 422. |
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
|
| 423. |
STDP promotes synchrony of inhibitory networks in the presence of heterogeneity (Talathi et al 2008)
|
| 424. |
Stochastic and periodic inputs tune ongoing oscillations (Hutt et al. 2016)
|
| 425. |
Stoney vs Histed: Quantifying spatial effects of intracortical microstims (Kumaravelu et al 2022)
|
| 426. |
Storing serial order in intrinsic excitability: a working memory model (Conde-Sousa & Aguiar 2013)
|
| 427. |
Striatal dopamine ramping: an explanation by reinforcement learning with decay (Morita & Kato, 2014)
|
| 428. |
Striatal GABAergic microcircuit, dopamine-modulated cell assemblies (Humphries et al. 2009)
|
| 429. |
Striatal GABAergic microcircuit, spatial scales of dynamics (Humphries et al, 2010)
|
| 430. |
Striatal NN model of MSNs and FSIs investigated effects of dopamine depletion (Damodaran et al 2015)
|
| 431. |
Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
|
| 432. |
Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
|
| 433. |
Study of augmented Rubin and Terman 2004 deep brain stim. model in Parkinsons (Pascual et al. 2006)
|
| 434. |
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
|
| 435. |
Surround Suppression in V1 via Withdraw of Balanced Local Excitation in V1 (Shushruth 2012)
|
| 436. |
Syn Plasticity Regulation + Information Processing in Neuron-Astrocyte Networks (Vuillaume et al 21)
|
| 437. |
Synaptic Impairment, Robustness of Excitatory NNs w/ Different Topologies (Mirzakhalili et al 2017)
|
| 438. |
Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)
|
| 439. |
Synaptic plasticity can produce and enhance direction selectivity (Carver et al, 2008)
|
| 440. |
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
|
| 441. |
Synchronicity of fast-spiking interneurons balances medium-spiny neurons (Damodaran et al. 2014)
|
| 442. |
Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
|
| 443. |
Synchrony by synapse location (McTavish et al. 2012)
|
| 444. |
Systematic integration of data into multi-scale models of mouse primary V1 (Billeh et al 2020)
|
| 445. |
Temporal integration by stochastic recurrent network (Okamoto et al. 2007)
|
| 446. |
Thalamic network model of deep brain stimulation in essential tremor (Birdno et al. 2012)
|
| 447. |
Thalamic quiescence of spike and wave seizures (Lytton et al 1997)
|
| 448. |
Thalamic Reticular Network (Destexhe et al 1994)
|
| 449. |
Thalamic transformation of pallidal input (Hadipour-Niktarash 2006)
|
| 450. |
Thalamo-cortical microcircuit (TCM) (AmirAli Farokhniaee and Madeleine M. Lowery 2021)
|
| 451. |
Thalamocortical and Thalamic Reticular Network (Destexhe et al 1996)
|
| 452. |
Thalamocortical augmenting response (Bazhenov et al 1998)
|
| 453. |
Thalamocortical control of propofol phase-amplitude coupling (Soplata et al 2017)
|
| 454. |
The activity phase of postsynaptic neurons (Bose et al 2004)
|
| 455. |
The microcircuits of striatum in silico (Hjorth et al 2020)
|
| 456. |
The neocortical microcircuit collaboration portal (Markram et al. 2015)
|
| 457. |
The origin of different spike and wave-like events (Hall et al 2017)
|
| 458. |
The virtual slice setup (Lytton et al. 2008)
|
| 459. |
Theory of sequence memory in neocortex (Hawkins & Ahmad 2016)
|
| 460. |
Theta-gamma phase amplitude coupling in a hippocampal CA1 microcircuit (Ponzi et al. 2023)
|
| 461. |
Tonic-clonic transitions in a seizure simulation (Lytton and Omurtag 2007)
|
| 462. |
Towards a virtual C. elegans (Palyanov et al. 2012)
|
| 463. |
Translating network models to parallel hardware in NEURON (Hines and Carnevale 2008)
|
| 464. |
Turtle visual cortex model (Nenadic et al. 2003, Wang et al. 2005, Wang et al. 2006)
|
| 465. |
Two-cell inhibitory network bursting dynamics captured in a one-dimensional map (Matveev et al 2007)
|
| 466. |
Unbalanced peptidergic inhibition in superficial cortex underlies seizure activity (Hall et al 2015)
|
| 467. |
Understanding odor information segregation in the olfactory bulb by MC/TCs (Polese et al. 2014)
|
| 468. |
Universal feature of developing networks (Tabak et al 2010)
|
| 469. |
Updated Tritonia Swim CPG (Calin-Jagemann et al. 2007)
|
| 470. |
Vertical System (VS) tangential cells network model (Trousdale et al. 2014)
|
| 471. |
Vestibulo-Ocular Reflex model in Matlab (Clopath at al. 2014)
|
| 472. |
Vibration-sensitive Honeybee interneurons (Ai et al 2017)
|
| 473. |
Virtual Retina: biological retina simulator, with contrast gain control (Wohrer and Kornprobst 2009)
|
| 474. |
Visual physiology of the layer 4 cortical circuit in silico (Arkhipov et al 2018)
|
| 475. |
Working memory circuit with branched dendrites (Morita 2008)
|
