| | 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. |
A Computational Model for the Binocular Vector Disparity Estimation (Chessa & Solari 2018)
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| 5. |
A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
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| 6. |
A Fast Rhythmic Bursting Cell: in vivo cell modeling (Lee 2007)
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| 7. |
A large-scale model of the functioning brain (spaun) (Eliasmith et al. 2012)
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| 8. |
A microcircuit model of the frontal eye fields (Heinzle et al. 2007)
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| 9. |
A model of antennal lobe of bee (Chen JY et al. 2015)
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| 10. |
A model of ASIC1a and synaptic cleft pH modulating wind-up in wide dynamic range neurons (Delrocq)
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| 11. |
A network model of the vertebrate retina (Publio et al. 2009)
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| 12. |
A network of AOB mitral cells that produces infra-slow bursting (Zylbertal et al. 2017)
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| 13. |
A neurocomputational model of classical conditioning phenomena (Moustafa et al. 2009)
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| 14. |
A spiking NN for amplification of feature-selectivity with specific connectivity (Sadeh et al 2015)
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| 15. |
A theory of ongoing activity in V1 (Goldberg et al 2004)
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| 16. |
A two-layer biophysical olfactory bulb model of cholinergic neuromodulation (Li and Cleland 2013)
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| 17. |
ACh modulation in olfactory bulb and piriform cortex (de Almeida et al. 2013;Devore S, et al. 2014)
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| 18. |
Action potential initiation in the olfactory mitral cell (Shen et al 1999)
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| 19. |
Allen Institute: Gad2-IRES-Cre VISp layer 5 472447460
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| 20. |
Allen Institute: Gad2-IRES-Cre VISp layer 5 473561729
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| 21. |
Allen Institute: Htr3a-Cre VISp layer 2/3 472352327
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| 22. |
Allen Institute: Htr3a-Cre VISp layer 2/3 472421285
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| 23. |
Allen Institute: Nr5a1-Cre VISp layer 2/3 473862496
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| 24. |
Allen Institute: Nr5a1-Cre VISp layer 4 329322394
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| 25. |
Allen Institute: Nr5a1-Cre VISp layer 4 472306544
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| 26. |
Allen Institute: Nr5a1-Cre VISp layer 4 472442377
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| 27. |
Allen Institute: Nr5a1-Cre VISp layer 4 472451419
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| 28. |
Allen Institute: Nr5a1-Cre VISp layer 4 472915634
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| 29. |
Allen Institute: Nr5a1-Cre VISp layer 4 473834758
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| 30. |
Allen Institute: Nr5a1-Cre VISp layer 4 473863035
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| 31. |
Allen Institute: Nr5a1-Cre VISp layer 4 473871429
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| 32. |
Allen Institute: Ntsr1-Cre VISp layer 4 472430904
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| 33. |
Allen Institute: Pvalb-IRES-Cre VISp layer 2/3 472306616
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| 34. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 471085845
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| 35. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 472912177
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| 36. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 473465774
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| 37. |
Allen Institute: Pvalb-IRES-Cre VISp layer 5 473862421
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| 38. |
Allen Institute: Pvalb-IRES-Cre VISp layer 6a 471081668
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| 39. |
Allen Institute: Pvalb-IRES-Cre VISp layer 6a 472301074
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| 40. |
Allen Institute: Pvalb-IRES-Cre VISp layer 6a 473860269
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| 41. |
Allen Institute: Rbp4-Cre VISp layer 5 472424854
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| 42. |
Allen Institute: Rbp4-Cre VISp layer 6a 473871592
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| 43. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472299294
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| 44. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472434498
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| 45. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 4 473863510
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| 46. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 471087975
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| 47. |
Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 473561660
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| 48. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472300877
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| 49. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472427533
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| 50. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472912107
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| 51. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 473465456
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| 52. |
Allen Institute: Scnn1a-Tg2-Cre VISp layer 5 472306460
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| 53. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 329321704
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| 54. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 472363762
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| 55. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473862845
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| 56. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473872986
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| 57. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 472455509
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| 58. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473863578
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| 59. |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473871773
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| 60. |
Allen Institute: Sst-IRES-Cre VISp layer 2/3 472304676
|
| 61. |
Allen Institute: Sst-IRES-Cre VISp layer 4 472304539
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| 62. |
Allen Institute: Sst-IRES-Cre VISp layer 5 472450023
|
| 63. |
Allen Institute: Sst-IRES-Cre VISp layer 5 473835796
|
| 64. |
Allen Institute: Sst-IRES-Cre VISp layer 6a 472440759
|
| 65. |
AOB mitral cell: persistent activity without feedback (Zylbertal et al., 2015)
|
| 66. |
AP initiation and propagation in type II cochlear ganglion cell (Hossain et al 2005)
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| 67. |
Auditory nerve model for predicting performance limits (Heinz et al 2001)
|
| 68. |
Auditory nerve spontaneous rate histograms (Jackson and Carney 2005)
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| 69. |
Biophysically Realistic Network Model of the Wild-Type and Degenerate Retina (Ly et al 2022)
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| 70. |
Biophysically realistic neural modeling of the MEG mu rhythm (Jones et al. 2009)
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| 71. |
Burst induced synaptic plasticity in Apysia sensorimotor neurons (Phares et al 2003)
|
| 72. |
Calcium and potassium currents of olfactory bulb juxtaglomerular cells (Masurkar and Chen 2011)
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| 73. |
Calyx of Held, short term plasticity (Yang Z et al. 2009)
|
| 74. |
Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012)
|
| 75. |
Cerebellar Model for the Optokinetic Response (Kim and Lim 2021)
|
| 76. |
CN bushy, stellate neurons (Rothman, Manis 2003)
|
| 77. |
Cochlea: inner ear models in Python (Zilany et al 2009, 2014; Holmberg M 2007)
|
| 78. |
Cochlear implant models (Bruce et al. 1999a, b, c, 2000)
|
| 79. |
Compartmental model of a mitral cell (Popovic et al. 2005)
|
| 80. |
Competition model of pheromone ratio detection (Zavada et al. 2011)
|
| 81. |
Computing with neural synchrony (Brette 2012)
|
| 82. |
Conductance-based model of Layer-4 in the barrel cortex (Argaman et Golomb 2017)
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| 83. |
Continuum model of tubulin-driven neurite elongation (Graham et al 2006)
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| 84. |
Contrast invariance by LGN synaptic depression (Banitt et al. 2007)
|
| 85. |
COREM: configurable retina simulator (Martínez-Cañada et al., 2016)
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| 86. |
Cortex learning models (Weber at al. 2006, Weber and Triesch, 2006, Weber and Wermter 2006/7)
|
| 87. |
Cortical feedback alters visual response properties of dLGN relay cells (Martínez-Cañada et al 2018)
|
| 88. |
Cortical Layer 5b pyr. cell with [Na+]i mechanisms, from Hay et al 2011 (Zylbertal et al 2017)
|
| 89. |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
|
| 90. |
Current Dipole in Laminar Neocortex (Lee et al. 2013)
|
| 91. |
Default mode network model (Matsui et al 2014)
|
| 92. |
Dendritic spikes enhance stimulus selectivity in cortical neurons in vivo (Smith et al 2013)
|
| 93. |
Dendro-dendritic synaptic circuit (Shepherd Brayton 1979)
|
| 94. |
Development and Binocular Matching of Orientation Selectivity in Visual Cortex (Xu et al 2020)
|
| 95. |
Development of orientation-selective simple cell receptive fields (Rishikesh and Venkatesh, 2003)
|
| 96. |
Distal inhibitory control of sensory-evoked excitation (Egger, Schmitt et al. 2015)
|
| 97. |
Distinct current modules shape cellular dynamics in model neurons (Alturki et al 2016)
|
| 98. |
Distributed representation of perceptual categories in the auditory cortex (Kim and Bao 2008)
|
| 99. |
Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
|
| 100. |
Dynamical model of olfactory bulb mitral cell (Rubin, Cleland 2006)
|
| 101. |
Effect of polysynaptic facilitaiton between piriform-hippocampal network stages (Trieu et al 2015)
|
| 102. |
Effects of the membrane AHP on the Lateral Superior Olive (LSO) (Zhou & Colburn 2010)
|
| 103. |
Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
|
| 104. |
Encoding and discrimination of vowel-like sounds (Tan and Carney 2005)
|
| 105. |
Engaging distinct oscillatory neocortical circuits (Vierling-Claassen et al. 2010)
|
| 106. |
Ephaptic interactions in olfactory nerve (Bokil et al 2001)
|
| 107. |
Event-related simulation of neural processing in complex visual scenes (Mihalas et al. 2011)
|
| 108. |
Feature integration drives probabilistic behavior in Fly escape response (von Reyn et al 2017)
|
| 109. |
First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018)
|
| 110. |
Fitting predictive coding to the neurophysiological data (Spratling 2019)
|
| 111. |
Fly lobular plate VS cell (Borst and Haag 1996, et al. 1997, et al. 1999)
|
| 112. |
Formation of synfire chains (Jun and Jin 2007)
|
| 113. |
Frog second-order vestibular neuron models (Rossert et al. 2011)
|
| 114. |
Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
|
| 115. |
Functional structure of mitral cell dendritic tuft (Djurisic et al. 2008)
|
| 116. |
Gamma-beta alternation in the olfactory bulb (David, Fourcaud-Trocmé et al., 2015)
|
| 117. |
Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009)
|
| 118. |
Goldfish Mauthner cell (Medan et al 2017)
|
| 119. |
Granule Cells of the Olfactory Bulb (Simoes_De_Souza et al. 2014)
|
| 120. |
Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018)
|
| 121. |
High entrainment constrains synaptic depression in a globular bushy cell (Rudnicki & Hemmert 2017)
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| 122. |
Homosynaptic plasticity in the tail withdrawal circuit (TWC) of Aplysia (Baxter and Byrne 2006)
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| 123. |
Honey bee receptor and antennal lobe model (Chan et al 2018)
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| 124. |
Hopfield and Brody model (Hopfield, Brody 2000)
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| 125. |
Human somatosensory and motor axon pair to compare thresholds (Gaines et al 2018)
|
| 126. |
Infraslow intrinsic rhythmogenesis in a subset of AOB projection neurons (Gorin et al 2016)
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| 127. |
Inner hair cell auditory nerve synapse model (Deligeorges, Mountain 1997)
|
| 128. |
Integrate and fire model code for spike-based coincidence-detection (Heinz et al. 2001, others)
|
| 129. |
Interaural time difference detection by slowly integrating neurons (Vasilkov Tikidji-Hamburyan 2012)
|
| 130. |
Kenyon cells in the honeybee (Wustenberg et al 2004)
|
| 131. |
L4 cortical barrel NN model receiving thalamic input during whisking or touch (Gutnisky et al. 2017)
|
| 132. |
Laminar analysis of excitatory circuits in vibrissal motor and sensory cortex (Hooks et al. 2011)
|
| 133. |
Large scale model of the olfactory bulb (Yu et al., 2013)
|
| 134. |
Late emergence of the whisker direction selectivity map in rat barrel cortex (Kremer et al. 2011)
|
| 135. |
Lateral dendrodenditic inhibition in the Olfactory Bulb (David et al. 2008)
|
| 136. |
LGMD - ON excitation to dendritic field C
|
| 137. |
LGMD Variability and logarithmic compression in dendrites (Jones and Gabbiani, 2012, 2012B)
|
| 138. |
LGMD with 3D morphology and active dendrites (Dewell & Gabbiani 2018)
|
| 139. |
LGNcircuit: Minimal LGN network model of temporal processing of visual input (Norheim et al. 2012)
|
| 140. |
Locust olfactory network with GGN and full KC population in the mushroom body (Ray et al 2020)
|
| 141. |
Long-term adaptation with power-law dynamics (Zilany et al. 2009)
|
| 142. |
Mechanisms for stable, robust, and adaptive development of orientation maps (Stevens et al. 2013)
|
| 143. |
Medial reticular formation of the brainstem: anatomy and dynamics (Humphries et al. 2006, 2007)
|
| 144. |
MEG of Somatosensory Neocortex (Jones et al. 2007)
|
| 145. |
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018)
|
| 146. |
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN)
|
| 147. |
Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
|
| 148. |
Mitral cell activity gating by respiration and inhibition in an olfactory bulb NN (Short et al 2016)
|
| 149. |
Model for concentration invariant odor coding based on primacy hypothesis (Wilson et al 2017)
|
| 150. |
Model of calcium oscillations in olfactory cilia (Reidl et al. 2006)
|
| 151. |
Model of neural responses to amplitude-modulated tones (Nelson and Carney 2004)
|
| 152. |
Model of repetitive firing in Grueneberg ganglion olfactory neurons (Liu et al., 2012)
|
| 153. |
Models analysis for auditory-nerve synapse (Zhang and Carney 2005)
|
| 154. |
Models for diotic and dichotic detection (Davidson et al. 2009)
|
| 155. |
Models of visual topographic map alignment in the Superior Colliculus (Tikidji-Hamburyan et al 2016)
|
| 156. |
Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)
|
| 157. |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
|
| 158. |
Multiplication by NMDA receptors in Direction Selective Ganglion cells (Poleg-Polsky & Diamond 2016)
|
| 159. |
Multiscale model of olfactory receptor neuron in mouse (Dougherty 2009)
|
| 160. |
Multisensory integration in the superior colliculus: a neural network model (Ursino et al. 2009)
|
| 161. |
Muscle spindle feedback circuit (Moraud et al, 2016)
|
| 162. |
Na+ Signals in olfactory bulb neurons (granule cell model) (Ona-Jodar et al. 2017)
|
| 163. |
Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
|
| 164. |
Network models of frequency modulated sweep detection (Skorheim et al. 2014)
|
| 165. |
Neural mass model of spindle generation in the isolated thalamus (Schellenberger Costa et al. 2016)
|
| 166. |
Neural mass model of the sleeping thalamocortical system (Schellenberger Costa et al 2016)
|
| 167. |
Neurogenesis in the olfactory bulb controlled by top-down input (Adams et al 2018)
|
| 168. |
NN for proto-object based contour integration and figure-ground segregation (Hu & Niebur 2017)
|
| 169. |
Nonlinear dendritic processing in barrel cortex spiny stellate neurons (Lavzin et al. 2012)
|
| 170. |
Odor supported place cell model and goal navigation in rodents (Kulvicius et al. 2008)
|
| 171. |
Olfactory bulb cluster formation (Migliore et al. 2010)
|
| 172. |
Olfactory bulb granule cell: effects of odor deprivation (Saghatelyan et al 2005)
|
| 173. |
Olfactory bulb juxtaglomerular models (Carey et al., 2015)
|
| 174. |
Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)
|
| 175. |
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
|
| 176. |
Olfactory bulb mitral and granule cell: dendrodendritic microcircuits (Migliore and Shepherd 2008)
|
| 177. |
Olfactory bulb mitral cell gap junction NN model: burst firing and synchrony (O`Connor et al. 2012)
|
| 178. |
Olfactory bulb mitral cell: synchronization by gap junctions (Migliore et al 2005)
|
| 179. |
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
|
| 180. |
Olfactory Bulb Network (Davison et al 2003)
|
| 181. |
Olfactory bulb network model of gamma oscillations (Bathellier et al. 2006; Lagier et al. 2007)
|
| 182. |
Olfactory bulb network: neurogenetic restructuring and odor decorrelation (Chow et al. 2012)
|
| 183. |
Olfactory Computations in Mitral-Granule cell circuits (Migliore & McTavish 2013)
|
| 184. |
Olfactory Mitral Cell (Bhalla, Bower 1993)
|
| 185. |
Olfactory Mitral Cell (Davison et al 2000)
|
| 186. |
Olfactory Mitral cell: AP initiation modes (Chen et al 2002)
|
| 187. |
Olfactory Mitral Cell: I-A and I-K currents (Wang et al 1996)
|
| 188. |
Olfactory Periglomerular Cells: I-h kinetics (Cadetti, Belluzzi 2001)
|
| 189. |
Olfactory receptor neuron model (Dougherty et al 2005)
|
| 190. |
Online learning model of olfactory bulb external plexiform layer network (Imam & Cleland 2020)
|
| 191. |
Opponent-channel model of the cortical representation of auditory space (Briley et al., 2012)
|
| 192. |
Orientation preference in L23 V1 pyramidal neurons (Park et al 2019)
|
| 193. |
Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
|
| 194. |
Oscillating neurons in the cochlear nucleus (Bahmer Langner 2006a, b, and 2007)
|
| 195. |
Oscillation and coding in a proposed NN model of insect olfaction (Horcholle-Bossavit et al. 2007)
|
| 196. |
Parallel cortical inhibition processing enables context-dependent behavior (Kuchibhotla et al. 2016)
|
| 197. |
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
|
| 198. |
Plasticity forms non-overlapping adjacent ON and OFF RFs in cortical neurons (Sollini et al 2018)
|
| 199. |
Point process framework for modeling electrical stimulation of auditory nerve (Goldwyn et al. 2012)
|
| 200. |
Predicting formant-frequency discrimination in noise (Tan and Carney 2006)
|
| 201. |
Pyramidal neuron conductances state and STDP (Delgado et al. 2010)
|
| 202. |
Reciprocal regulation of rod and cone synapse by NO (Kourennyi et al 2004)
|
| 203. |
Reichardt Model for Motion Detection in the Fly Visual System (Tuthill et al, 2011)
|
| 204. |
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
|
| 205. |
Response properties of an integrate and fire model (Zhang and Carney 2005)
|
| 206. |
Reverse-time correlation analysis for idealized orientation tuning dynamics (Kovacic et al. 2008)
|
| 207. |
Revised opponent-channel model of auditory space cortical representation (Briley & Summerfield 2013)
|
| 208. |
Rhesus Monkey Layer 3 Pyramidal Neurons: V1 vs PFC (Amatrudo, Weaver et al. 2012)
|
| 209. |
Role of Ih in firing patterns of cold thermoreceptors (Orio et al., 2012)
|
| 210. |
Scaling self-organizing maps to model large cortical networks (Bednar et al 2004)
|
| 211. |
Self-organized olfactory pattern recognition (Kaplan & Lansner 2014)
|
| 212. |
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
|
| 213. |
Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020)
|
| 214. |
Short term plasticity of synapses onto V1 layer 2/3 pyramidal neuron (Varela et al 1997)
|
| 215. |
Signal integration in LGN cells (Briska et al 2003)
|
| 216. |
Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
|
| 217. |
Simulating ion channel noise in an auditory brainstem neuron model (Schmerl & McDonnell 2013)
|
| 218. |
Simulations of oscillations in piriform cortex (Wilson & Bower 1992)
|
| 219. |
Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
|
| 220. |
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019)
|
| 221. |
Spike frequency adaptation in the LGMD (Peron and Gabbiani 2009)
|
| 222. |
Spinal Dorsal Horn Network Model (Medlock et al 2022)
|
| 223. |
Spontaneous weakly correlated excitation and inhibition (Tan et al. 2013)
|
| 224. |
Stochastic model of the olfactory cilium transduction and adaptation (Antunes et al 2014)
|
| 225. |
Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
|
| 226. |
Surround Suppression in V1 via Withdraw of Balanced Local Excitation in V1 (Shushruth 2012)
|
| 227. |
Synaptic transmission at the calyx of Held (Graham et al 2001)
|
| 228. |
Synchrony by synapse location (McTavish et al. 2012)
|
| 229. |
Systematic integration of data into multi-scale models of mouse primary V1 (Billeh et al 2020)
|
| 230. |
Temperature-Dependent Pyloric Pacemaker Kernel (Caplan JS et al., 2014)
|
| 231. |
Temporal decorrelation by intrinsic cellular dynamics (Wang et al 2003)
|
| 232. |
Theoretical reconstrucion of field potentials and dendrodendritic synaptic...(Rall & Shepherd 1968)
|
| 233. |
Touch Sensory Cells (T Cells) of the Leech (Cataldo et al. 2004) (Scuri et al. 2007)
|
| 234. |
Turtle visual cortex model (Nenadic et al. 2003, Wang et al. 2005, Wang et al. 2006)
|
| 235. |
Two Models for synaptic input statistics for the MSO neuron model (Jercog et al. 2010)
|
| 236. |
Understanding odor information segregation in the olfactory bulb by MC/TCs (Polese et al. 2014)
|
| 237. |
V1 and AL spiking neural network for visual contrast response in mouse (Meijer et al. 2020)
|
| 238. |
Vibration-sensitive Honeybee interneurons (Ai et al 2017)
|
| 239. |
Visual Cortex Neurons: Dendritic computations (Archie, Mel 2000)
|
