| Models |
1. |
3D model of the olfactory bulb (Migliore et al. 2014)
|
2. |
3D olfactory bulb: operators (Migliore et al, 2015)
|
3. |
A computational model of action selection in the basal ganglia (Suryanarayana et al 2019)
|
4. |
A cortico-cerebello-thalamo-cortical loop model under essential tremor (Zhang & Santaniello 2019)
|
5. |
A detailed data-driven network model of prefrontal cortex (Hass et al 2016)
|
6. |
A dynamical model of the basal ganglia (Leblois et al 2006)
|
7. |
A full-scale cortical microcircuit spiking network model (Shimoura et al 2018)
|
8. |
A microcircuit model of the frontal eye fields (Heinzle et al. 2007)
|
9. |
A model for focal seizure onset, propagation, evolution, and progression (Liou et al 2020)
|
10. |
A model of the temporal pattern generator of C. elegans egg-laying behavior (Zhang et. al 2010)
|
11. |
A Moth MGC Model-A HH network with quantitative rate reduction (Buckley & Nowotny 2011)
|
12. |
A multilayer cortical model to study seizure propagation across microdomains (Basu et al. 2015)
|
13. |
A network model of tail withdrawal in Aplysia (White et al 1993)
|
14. |
A network of AOB mitral cells that produces infra-slow bursting (Zylbertal et al. 2017)
|
15. |
A neural mass model for critical assessment of brain connectivity (Ursino et al 2020)
|
16. |
A simulation method for the firing sequences of motor units (Jiang et al 2006)
|
17. |
A single column thalamocortical network model (Traub et al 2005)
|
18. |
A spatial model of the intermediate superior colliculus (Moren et. al. 2013)
|
19. |
A spiking model of cortical broadcast and competition (Shanahan 2008)
|
20. |
A spiking neural network model of the Lateral Geniculate Nucleus (Sen-Bhattacharya et al 2017)
|
21. |
A theory of ongoing activity in V1 (Goldberg et al 2004)
|
22. |
A two networks model of connectivity-dependent oscillatory activity (Avella OJ et al. 2014)
|
23. |
A unified thalamic model of multiple distinct oscillations (Li, Henriquez and Fröhlich 2017)
|
24. |
ACh modulation in olfactory bulb and piriform cortex (de Almeida et al. 2013;Devore S, et al. 2014)
|
25. |
Activity patterns in a subthalamopallidal network of the basal ganglia model (Terman et al 2002)
|
26. |
An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al 2013)
|
27. |
An oscillatory neural autoencoder based on frequency modulation and multiplexing (Soman et al 2018)
|
28. |
An oscillatory neural model of multiple object tracking (Kazanovich and Borisyuk 2006)
|
29. |
Asynchronous irregular and up/down states in excitatory and inhibitory NNs (Destexhe 2009)
|
30. |
Auditory cortex layer IV network model (Beeman 2013)
|
31. |
Axonal gap junctions produce fast oscillations in cerebellar Purkinje cells (Traub et al. 2008)
|
32. |
Basal ganglia network model of subthalamic deep brain stimulation (Hahn and McIntyre 2010)
|
33. |
Basal ganglia-thalamic network model for deep brain stimulation (So et al. 2012)
|
34. |
Biologically-plausible models for spatial navigation (Cannon et al 2003)
|
35. |
Biophysically realistic neural modeling of the MEG mu rhythm (Jones et al. 2009)
|
36. |
Broadening of activity with flow across neural structures (Lytton et al. 2008)
|
37. |
Bursting and oscillations in RD1 Retina driven by AII Amacrine Neuron (Choi et al. 2014)
|
38. |
Bursting respiratory net: clustered architecture gives large phase diff`s (Fietkiewicz et al 2011)
|
39. |
Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
|
40. |
CA1 pyramidal cell: reconstructed axonal arbor and failures at weak gap junctions (Vladimirov 2011)
|
41. |
CA1 pyramidal cells, basket cells, ripples (Malerba et al 2016)
|
42. |
CA1 pyramidal neuron network model (Ferguson et al 2015)
|
43. |
Ca2+-activated I_CAN and synaptic depression promotes network-dependent oscil. (Rubin et al. 2009)
|
44. |
CA3 Network Model of Epileptic Activity (Sanjay et. al, 2015)
|
45. |
Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
|
46. |
Cerebellar cortex oscil. robustness from Golgi cell gap jncs (Simoes de Souza and De Schutter 2011)
|
47. |
Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012)
|
48. |
Cerebellar granular layer (Maex and De Schutter 1998)
|
49. |
Changes of ionic concentrations during seizure transitions (Gentiletti et al. 2016)
|
50. |
Classic model of the Tritonia Swim CPG (Getting, 1989)
|
51. |
Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
|
52. |
Competition for AP initiation sites in a circuit controlling simple learning (Cruz et al. 2007)
|
53. |
Complex dynamics: reproducing Golgi cell electroresponsiveness (Geminiani et al 2018, 2019ab)
|
54. |
Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
|
55. |
Computational analysis of NN activity and spatial reach of sharp wave-ripples (Canakci et al 2017)
|
56. |
Computational aspects of feedback in neural circuits (Maass et al 2006)
|
57. |
Computational Model of a Central Pattern Generator (Cataldo et al 2006)
|
58. |
Computational model of the distributed representation of operant reward memory (Costa et al. 2020)
|
59. |
Computer model of clonazepam's effect in thalamic slice (Lytton 1997)
|
60. |
Computing with neural synchrony (Brette 2012)
|
61. |
Continuous lateral oscillations as a mechanism for taxis in Drosophila larvae (Wystrach et al 2016)
|
62. |
Convergence regulates synchronization-dependent AP transfer in feedforward NNs (Sailamul et al 2017)
|
63. |
Core respiratory network organization: Insights from optogenetics and modeling (Ausborn et al 2018)
|
64. |
Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016)
|
65. |
Cortical Basal Ganglia Network Model during Closed-loop DBS (Fleming et al 2020)
|
66. |
Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017)
|
67. |
Cortico - Basal Ganglia Loop (Mulcahy et al 2020)
|
68. |
Current Dipole in Laminar Neocortex (Lee et al. 2013)
|
69. |
Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009)
|
70. |
Dentate gyrus network model (Santhakumar et al 2005)
|
71. |
Dentate gyrus network model (Tejada et al 2014)
|
72. |
Dentate gyrus network model pattern separation and granule cell scaling in epilepsy (Yim et al 2015)
|
73. |
Different roles for inhibition in the rhythm-generating respiratory network (Harris et al 2017)
|
74. |
Distance-dependent inhibition in the hippocampus (Strüber et al. 2017)
|
75. |
Duration-tuned neurons from the inferior colliculus of the big brown bat (Aubie et al. 2009)
|
76. |
Dynamic cortical interlaminar interactions (Carracedo et al. 2013)
|
77. |
Dynamical patterns underlying response properties of cortical circuits (Keane et al 2018)
|
78. |
Dynamics in random NNs with multiple neuron subtypes (Pena et al 2018, Tomov et al 2014, 2016)
|
79. |
Dynamics of sleep oscillations coupled to brain temperature on multiple scales (Csernai et al 2019)
|
80. |
Effect of circuit structure on odor representation in insect olfaction (Rajagopalan & Assisi 2020)
|
81. |
Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
|
82. |
Emergence of spatiotemporal sequences in spiking neuronal networks (Spreizer et al 2019)
|
83. |
Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009)
|
84. |
Engaging distinct oscillatory neocortical circuits (Vierling-Claassen et al. 2010)
|
85. |
Escape response latency in the Giant Fiber System of Drosophila melanogastor (Augustin et al 2019)
|
86. |
Excitatory and inhibitory interactions in populations of model neurons (Wilson and Cowan 1972)
|
87. |
Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017)
|
88. |
Failure of Deep Brain Stimulation in a basal ganglia neuronal network model (Dovzhenok et al. 2013)
|
89. |
Fast global oscillations in networks of I&F neurons with low firing rates (Brunel and Hakim 1999)
|
90. |
Fast oscillations in inhibitory networks (Maex, De Schutter 2003)
|
91. |
Feedforward heteroassociative network with HH dynamics (Lytton 1998)
|
92. |
Formation of synfire chains (Jun and Jin 2007)
|
93. |
Functional consequences of cortical circuit abnormalities on gamma in schizophrenia (Spencer 2009)
|
94. |
Gamma and theta rythms in biophysical models of hippocampus circuits (Kopell et al. 2011)
|
95. |
Gamma genesis in the basolateral amygdala (Feng et al 2019)
|
96. |
Gamma oscillations in hippocampal interneuron networks (Bartos et al 2002)
|
97. |
Gamma oscillations in hippocampal interneuron networks (Wang, Buzsaki 1996)
|
98. |
Gap junction coupled network of striatal fast spiking interneurons (Hjorth et al. 2009)
|
99. |
Gap-junction coupled network activity depends on coupled dendrites diameter (Gansert et al. 2007)
|
100. |
Gating of steering signals through phasic modulation of reticulospinal neurons (Kozlov et al. 2014)
|
101. |
Generating coherent patterns of activity from chaotic neural networks (Sussillo and Abbott 2009)
|
102. |
Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009)
|
103. |
Grid cell oscillatory interference with noisy network oscillators (Zilli and Hasselmo 2010)
|
104. |
Grid cell spatial firing models (Zilli 2012)
|
105. |
Half-center oscillator database of leech heart interneuron model (Doloc-Mihu & Calabrese 2011)
|
106. |
High dimensional dynamics and low dimensional readouts in neural microcircuits (Haeusler et al 2006)
|
107. |
High frequency oscillations in a hippocampal computational model (Stacey et al. 2009)
|
108. |
High frequency stimulation of the Subthalamic Nucleus (Rubin and Terman 2004)
|
109. |
Hippocampal basket cell gap junction network dynamics (Saraga et al. 2006)
|
110. |
Hippocampal CA1 NN with spontaneous theta, gamma: full scale & network clamp (Bezaire et al 2016)
|
111. |
Hippocampal CA3 network and circadian regulation (Stanley et al. 2013)
|
112. |
Hippocampus temporo-septal engram shift model (Lytton 1999)
|
113. |
Homeostatic mechanisms may shape oscillatory modulations (Peterson & Voytek 2020)
|
114. |
Homosynaptic plasticity in the tail withdrawal circuit (TWC) of Aplysia (Baxter and Byrne 2006)
|
115. |
Hopfield and Brody model (Hopfield, Brody 2000)
|
116. |
Hopfield and Brody model (Hopfield, Brody 2000) (NEURON+python)
|
117. |
Human Attentional Networks: A Connectionist Model (Wang and Fan 2007)
|
118. |
Hyperconnectivity, slow synapses in PFC mental retardation and autism model (Testa-Silva et al 2011)
|
119. |
I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
|
120. |
Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013)
|
121. |
Inferior Olive, subthreshold oscillations (Torben-Nielsen, Segev, Yarom 2012)
|
122. |
Information-processing in lamina-specific cortical microcircuits (Haeusler and Maass 2006)
|
123. |
Inhibition and glial-K+ interaction leads to diverse seizure transition modes (Ho & Truccolo 2016)
|
124. |
Inhibitory control by an integral feedback signal in prefrontal cortex (Miller and Wang 2006)
|
125. |
Interaction of leak and IMI conductance on the STG over broad temperature range (Stadele et al 2015)
|
126. |
Investigation of different targets in deep brain stimulation for Parkinson`s (Pirini et al. 2009)
|
127. |
Irregular oscillations produced by cyclic recurrent inhibition (Friesen, Friesen 1994)
|
128. |
Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006)
|
129. |
Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011)
|
130. |
KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008)
|
131. |
Knox implementation of Destexhe 1998 spike and wave oscillation model (Knox et al 2018)
|
132. |
Laminar analysis of excitatory circuits in vibrissal motor and sensory cortex (Hooks et al. 2011)
|
133. |
Laminar connectivity matrix simulation (Weiler et al 2008)
|
134. |
Large cortex model with map-based neurons (Rulkov et al 2004)
|
135. |
Large scale model of the olfactory bulb (Yu et al., 2013)
|
136. |
Large scale neocortical model for PGENESIS (Crone et al 2019)
|
137. |
Late emergence of the whisker direction selectivity map in rat barrel cortex (Kremer et al. 2011)
|
138. |
Lateral dendrodenditic inhibition in the Olfactory Bulb (David et al. 2008)
|
139. |
Leech Heart (HE) Motor Neuron conductances contributions to NN activity (Lamb & Calabrese 2013)
|
140. |
Leech Heart Interneuron model (Sharma et al 2020)
|
141. |
Leech heart interneuron network model (Hill et al 2001, 2002)
|
142. |
LFP signature of monosynaptic thalamocortical connection (Hagen et al 2017)
|
143. |
Linking dynamics of the inhibitory network to the input structure (Komarov & Bazhenov 2016)
|
144. |
Lobster STG pyloric network model with calcium sensor (Gunay & Prinz 2010) (Prinz et al. 2004)
|
145. |
Long time windows from theta modulated inhib. in entorhinal–hippo. loop (Cutsuridis & Poirazi 2015)
|
146. |
Loss of phase-locking in non-weakly coupled inhib. networks of type-I neurons (Oh and Matveev 2009)
|
147. |
MDD: the role of glutamate dysfunction on Cingulo-Frontal NN dynamics (Ramirez-Mahaluf et al 2017)
|
148. |
Mean-field models of neural populations under electrical stimulation (Cakan & Obermayer 2020)
|
149. |
Mechanisms of very fast oscillations in axon networks coupled by gap junctions (Munro, Borgers 2010)
|
150. |
Medial reticular formation of the brainstem: anatomy and dynamics (Humphries et al. 2006, 2007)
|
151. |
Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
|
152. |
Minimal model of interictal and ictal discharges “Epileptor-2” (Chizhov et al 2018)
|
153. |
Mitral cell activity gating by respiration and inhibition in an olfactory bulb NN (Short et al 2016)
|
154. |
Model of arrhythmias in a cardiac cells network (Casaleggio et al. 2014)
|
155. |
Model of long range transmission of gamma oscillation (Murray 2007)
|
156. |
Model of the cerebellar granular network (Sudhakar et al 2017)
|
157. |
Modeling the effects of dopamine on network synchronization (Komek et al. 2012)
|
158. |
Modelling enteric neuron populations and muscle fed-state motor patterns (Chambers et al. 2011)
|
159. |
Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017)
|
160. |
Modular grid cell responses as a basis for hippocampal remapping (Monaco and Abbott 2011)
|
161. |
Modulation of septo-hippocampal theta activity by GABAA receptors (Hajos et al. 2004)
|
162. |
Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)
|
163. |
Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
|
164. |
Multi-area layer-resolved spiking network model of resting-state dynamics in macaque visual cortex
|
165. |
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
|
166. |
Multiscale modeling of epileptic seizures (Naze et al. 2015)
|
167. |
Multisensory integration in the superior colliculus: a neural network model (Ursino et al. 2009)
|
168. |
Multistability of clustered states in a globally inhibitory network (Chandrasekaran et al. 2009)
|
169. |
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
|
170. |
Neocort. pyramidal cells subthreshold somatic voltage controls spike propagation (Munro Kopell 2012)
|
171. |
Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)
|
172. |
Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998)
|
173. |
Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
|
174. |
Network recruitment to coherent oscillations in a hippocampal model (Stacey et al. 2011)
|
175. |
Network topologies for producing limited sustained activation (Kaiser and Hilgetag 2010)
|
176. |
Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)
|
177. |
Neural Mass Model for relationship between Brain Rhythms + Functional Connectivity (Ricci et al '21)
|
178. |
Neural model of frog ventilatory rhythmogenesis (Horcholle-Bossavit and Quenet 2009)
|
179. |
Neural modeling of an internal clock (Yamazaki and Tanaka 2008)
|
180. |
Neural transformations on spike timing information (Tripp and Eliasmith 2007)
|
181. |
Neurogenesis in the olfactory bulb controlled by top-down input (Adams et al 2018)
|
182. |
Neuronal population models of intracerebral EEG (Wendling et al. 2005)
|
183. |
Normal ripples, abnormal ripples, and fast ripples in a hippocampal model (Fink et al. 2015)
|
184. |
Norns - Neural Network Studio (Visser & Van Gils 2014)
|
185. |
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
|
186. |
Olfactory bulb mitral and granule cell: dendrodendritic microcircuits (Migliore and Shepherd 2008)
|
187. |
Olfactory bulb mitral cell gap junction NN model: burst firing and synchrony (O`Connor et al. 2012)
|
188. |
Olfactory bulb mitral cell: synchronization by gap junctions (Migliore et al 2005)
|
189. |
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
|
190. |
Olfactory Bulb Network (Davison et al 2003)
|
191. |
Olfactory bulb network model of gamma oscillations (Bathellier et al. 2006; Lagier et al. 2007)
|
192. |
Olfactory bulb network: neurogenetic restructuring and odor decorrelation (Chow et al. 2012)
|
193. |
Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
|
194. |
Oscillation and coding in a proposed NN model of insect olfaction (Horcholle-Bossavit et al. 2007)
|
195. |
Oscillations emerging from noise-driven NNs (Tchumatchenko & Clopath 2014)
|
196. |
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
|
197. |
Pallidostriatal projections promote beta oscillations (Corbit, Whalen, et al 2016)
|
198. |
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
|
199. |
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
|
200. |
Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005)
|
201. |
Perturbation sensitivity implies high noise and suggests rate coding in cortex (London et al. 2010)
|
202. |
Phase oscillator models for lamprey central pattern generators (Varkonyi et al. 2008)
|
203. |
Phase precession through acceleration of local theta rhythm (Castro & Aguiar 2011)
|
204. |
Phasic ACh promotes gamma oscillations in E-I networks (Lu et al, 2020)
|
205. |
Polychronization: Computation With Spikes (Izhikevich 2005)
|
206. |
Population models of temporal differentiation (Tripp and Eliasmith 2010)
|
207. |
Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011)
|
208. |
Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
|
209. |
Purkinje cell: Synaptic activation predicts voltage control of burst-pause (Masoli & D'Angelo 2017)
|
210. |
Purkinje neuron network (Zang et al. 2020)
|
211. |
Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)
|
212. |
Rapid desynchronization of an electrically coupled Golgi cell network (Vervaeke et al. 2010)
|
213. |
Reconstrucing sleep dynamics with data assimilation (Sedigh-Sarvestani et al., 2012)
|
214. |
Regulation of a slow STG rhythm (Nadim et al 1998)
|
215. |
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
|
216. |
Respiratory central pattern generator network in mammalian brainstem (Rubin et al. 2009)
|
217. |
Reverberatory bursts propagation and synchronization in developing cultured NNs (Huang et al 2016)
|
218. |
Reward modulated STDP (Legenstein et al. 2008)
|
219. |
Robust Reservoir Generation by Correlation-Based Learning (Yamazaki & Tanaka 2008)
|
220. |
Role for short term plasticity and OLM cells in containing spread of excitation (Hummos et al 2014)
|
221. |
S cell network (Moss et al 2005)
|
222. |
Scaling self-organizing maps to model large cortical networks (Bednar et al 2004)
|
223. |
Self-organized olfactory pattern recognition (Kaplan & Lansner 2014)
|
224. |
Sensitivity of noisy neurons to coincident inputs (Rossant et al. 2011)
|
225. |
Sensory feedback in an oscillatory interference model of place cell activity (Monaco et al. 2011)
|
226. |
Simulation studies on mechanisms of levetiracetam-mediated inhibition of IK(DR) (Huang et al. 2009)
|
227. |
Simulation system of spinal cord motor nuclei and assoc. nerves and muscles (Cisi and Kohn 2008)
|
228. |
Simulations of oscillations in piriform cortex (Wilson & Bower 1992)
|
229. |
Single neuron properties shape chaos and signal transmission in random NNs (Muscinelli et al 2019)
|
230. |
Single Trial Sequence learning: a spiking neurons model based on hippocampus (Coppolino et al 2021)
|
231. |
Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
|
232. |
Slow wave propagation in the guinea-pig gastric antrum (Hirst et al. 2006, Edwards and Hirst 2006)
|
233. |
Small world networks of Type I and Type II Excitable Neurons (Bogaard et al. 2009)
|
234. |
Software for teaching neurophysiology of neuronal circuits (Grisham et al. 2008)
|
235. |
Sparsely connected networks of spiking neurons (Brunel 2000)
|
236. |
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019)
|
237. |
Spike-Timing-Based Computation in Sound Localization (Goodman and Brette 2010)
|
238. |
Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
|
239. |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
|
240. |
Spiking neuron model of the basal ganglia (Humphries et al 2006)
|
241. |
State-dependent rhythmogenesis in a half-center locomotor CPG (Ausborn et al 2017)
|
242. |
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
|
243. |
Stochastic and periodic inputs tune ongoing oscillations (Hutt et al. 2016)
|
244. |
Striatal GABAergic microcircuit, dopamine-modulated cell assemblies (Humphries et al. 2009)
|
245. |
Striatal GABAergic microcircuit, spatial scales of dynamics (Humphries et al, 2010)
|
246. |
Striatal NN model of MSNs and FSIs investigated effects of dopamine depletion (Damodaran et al 2015)
|
247. |
Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
|
248. |
Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
|
249. |
Study of augmented Rubin and Terman 2004 deep brain stim. model in Parkinsons (Pascual et al. 2006)
|
250. |
Subiculum network model with dynamic chloride/potassium homeostasis (Buchin et al 2016)
|
251. |
Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)
|
252. |
Synaptic Impairment, Robustness of Excitatory NNs w/ Different Topologies (Mirzakhalili et al 2017)
|
253. |
Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)
|
254. |
Synaptic plasticity can produce and enhance direction selectivity (Carver et al, 2008)
|
255. |
Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
|
256. |
Synchrony by synapse location (McTavish et al. 2012)
|
257. |
Systematic integration of data into multi-scale models of mouse primary V1 (Billeh et al 2020)
|
258. |
Temporal integration by stochastic recurrent network (Okamoto et al. 2007)
|
259. |
Thalamic network model of deep brain stimulation in essential tremor (Birdno et al. 2012)
|
260. |
Thalamic quiescence of spike and wave seizures (Lytton et al 1997)
|
261. |
Thalamic Reticular Network (Destexhe et al 1994)
|
262. |
Thalamocortical and Thalamic Reticular Network (Destexhe et al 1996)
|
263. |
Thalamocortical augmenting response (Bazhenov et al 1998)
|
264. |
Thalamocortical control of propofol phase-amplitude coupling (Soplata et al 2017)
|
265. |
The activity phase of postsynaptic neurons (Bose et al 2004)
|
266. |
The neocortical microcircuit collaboration portal (Markram et al. 2015)
|
267. |
Towards a virtual C. elegans (Palyanov et al. 2012)
|
268. |
Turtle visual cortex model (Nenadic et al. 2003, Wang et al. 2005, Wang et al. 2006)
|
269. |
Two-cell inhibitory network bursting dynamics captured in a one-dimensional map (Matveev et al 2007)
|
270. |
Updated Tritonia Swim CPG (Calin-Jagemann et al. 2007)
|
271. |
Vertical System (VS) tangential cells network model (Trousdale et al. 2014)
|
272. |
Vibration-sensitive Honeybee interneurons (Ai et al 2017)
|
273. |
Visual physiology of the layer 4 cortical circuit in silico (Arkhipov et al 2018)
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