| | Models |
| 1. |
3D model of the olfactory bulb (Migliore et al. 2014)
|
| 2. |
3D olfactory bulb: operators (Migliore et al, 2015)
|
| 3. |
A 1000 cell network model for Lateral Amygdala (Kim et al. 2013)
|
| 4. |
A basal ganglia model of aberrant learning (Ursino et al. 2018)
|
| 5. |
A Computational Model of Bidirectional Plasticity Regulation by betaCaMKII (Pinto et al. 2019)
|
| 6. |
A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
|
| 7. |
A fast model of voltage-dependent NMDA Receptors (Moradi et al. 2013)
|
| 8. |
A kinetic model unifying presynaptic short-term facilitation and depression (Lee et al. 2009)
|
| 9. |
A model of cerebellar LTD including RKIP inactivation of Raf and MEK (Hepburn et al 2017)
|
| 10. |
A model of optimal learning with redundant synaptic connections (Hiratani & Fukai 2018)
|
| 11. |
A network model of tail withdrawal in Aplysia (White et al 1993)
|
| 12. |
A simple model of neuromodulatory state-dependent synaptic plasticity (Pedrosa and Clopath, 2016)
|
| 13. |
Acetylcholine-modulated plasticity in reward-driven navigation (Zannone et al 2018)
|
| 14. |
ACh modulation in olfactory bulb and piriform cortex (de Almeida et al. 2013;Devore S, et al. 2014)
|
| 15. |
Active dendrites shape signaling microdomains in hippocampal neurons (Basak & Narayanan 2018)
|
| 16. |
Activity dependent changes in dendritic spine density and spine structure (Crook et al. 2007)
|
| 17. |
Adaptation of Short-Term Plasticity parameters (Esposito et al. 2015)
|
| 18. |
Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014)
|
| 19. |
Amyloid-beta effects on release probability and integration at CA3-CA1 synapses (Romani et al. 2013)
|
| 20. |
An allosteric kinetics of NMDARs in STDP (Urakubo et al. 2008)
|
| 21. |
BCM-like synaptic plasticity with conductance-based models (Narayanan Johnston, 2010)
|
| 22. |
Behavioral time scale synaptic plasticity underlies CA1 place fields (Bittner et al. 2017)
|
| 23. |
Biologically-plausible models for spatial navigation (Cannon et al 2003)
|
| 24. |
Biophysical and phenomenological models of spike-timing dependent plasticity (Badoual et al. 2006)
|
| 25. |
Borderline Personality Disorder (Berdahl, 2010)
|
| 26. |
Burst induced synaptic plasticity in Apysia sensorimotor neurons (Phares et al 2003)
|
| 27. |
CA1 pyr cell: Inhibitory modulation of spatial selectivity+phase precession (Grienberger et al 2017)
|
| 28. |
CA1 pyramidal cell receptor dependent cAMP dynamics (Chay et al. 2016)
|
| 29. |
CA1 pyramidal neuron dendritic spine with plasticity (O`Donnell et al. 2011)
|
| 30. |
CA1 pyramidal neuron: as a 2-layer NN and subthreshold synaptic summation (Poirazi et al 2003)
|
| 31. |
CA1 pyramidal neuron: Dendritic Na+ spikes are required for LTP at distal synapses (Kim et al 2015)
|
| 32. |
CA1 pyramidal neuron: synaptic plasticity during theta cycles (Saudargiene et al. 2015)
|
| 33. |
CA1 pyramidal neuron: synaptically-induced bAP predicts synapse location (Sterratt et al. 2012)
|
| 34. |
Ca2+ requirements for Long-Term Depression in Purkinje Cells (Criseida Zamora et al 2018)
|
| 35. |
Calcium influx during striatal upstates (Evans et al. 2013)
|
| 36. |
Calcium response prediction in the striatal spines depending on input timing (Nakano et al. 2013)
|
| 37. |
Calcium waves and mGluR-dependent synaptic plasticity in CA1 pyr. neurons (Ashhad & Narayanan 2013)
|
| 38. |
Calyx of Held, short term plasticity (Yang Z et al. 2009)
|
| 39. |
CaMKII system exhibiting bistability with respect to calcium (Graupner and Brunel 2007)
|
| 40. |
Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
|
| 41. |
Cerebellar long-term depression (LTD) (Antunes and De Schutter 2012)
|
| 42. |
Cerebellar memory consolidation model (Yamazaki et al. 2015)
|
| 43. |
Computing with neural synchrony (Brette 2012)
|
| 44. |
Conductance based model for short term plasticity at CA3-CA1 synapses (Mukunda & Narayanan 2017)
|
| 45. |
Cortical Layer 5b pyr. cell with [Na+]i mechanisms, from Hay et al 2011 (Zylbertal et al 2017)
|
| 46. |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
|
| 47. |
Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017)
|
| 48. |
Cortico-striatal plasticity in medium spiny neurons (Gurney et al 2015)
|
| 49. |
Diffusive homeostasis in a spiking network model (Sweeney et al. 2015)
|
| 50. |
Discrimination on behavioral time-scales mediated by reaction-diffusion in dendrites (Bhalla 2017)
|
| 51. |
Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013)
|
| 52. |
Distributed synaptic plasticity and spike timing (Garrido et al. 2013)
|
| 53. |
Dopamine activation of signaling pathways in a medium spiny projection neuron (Oliveira et al. 2012)
|
| 54. |
Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
|
| 55. |
Effect of the initial synaptic state on the probability to induce LTP and LTD (Migliore et al. 2015)
|
| 56. |
Effects of Chloride accumulation and diffusion on GABAergic transmission (Jedlicka et al 2011)
|
| 57. |
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
|
| 58. |
Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011)
|
| 59. |
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
|
| 60. |
Elementary mechanisms producing facilitation of Cav2.1 (P/Q-type) channels
|
| 61. |
Emergent properties of networks of biological signaling pathways (Bhalla, Iyengar 1999)
|
| 62. |
Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009)
|
| 63. |
Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016)
|
| 64. |
Facilitation by residual calcium (Stockbridge, Hines 1982)
|
| 65. |
Facilitation model based on bound Ca2+ (Matveev et al. 2006)
|
| 66. |
Facilitation through buffer saturation (Matveev et al. 2004)
|
| 67. |
Fast convergence of cerebellar learning (Luque et al. 2015)
|
| 68. |
Feedforward network undergoing Up-state-mediated plasticity (Gonzalez-Rueda et al. 2018)
|
| 69. |
First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018)
|
| 70. |
Formation of synfire chains (Jun and Jin 2007)
|
| 71. |
Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
|
| 72. |
Gamma genesis in the basolateral amygdala (Feng et al 2019)
|
| 73. |
Gamma-beta alternation in the olfactory bulb (David, Fourcaud-Trocmé et al., 2015)
|
| 74. |
Gq coupled signaling pathways involved in striatal synaptic plasticity (Kim et al. 2013)
|
| 75. |
Grid cells from place cells (Castro & Aguiar, 2014)
|
| 76. |
Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018)
|
| 77. |
Heterosynaptic Spike-Timing-Dependent Plasticity (Hiratani & Fukai 2017)
|
| 78. |
High entrainment constrains synaptic depression in a globular bushy cell (Rudnicki & Hemmert 2017)
|
| 79. |
Hippocampus CA1: Simulations of LTP signaling pathways (Kim M et al. 2011)
|
| 80. |
Hippocampus CA1: Temporal sensitivity of signaling pathways underlying LTP (Kim et al. 2010)
|
| 81. |
Homeostatic synaptic plasticity (Rabinowitch and Segev 2006a,b)
|
| 82. |
Homosynaptic plasticity in the tail withdrawal circuit (TWC) of Aplysia (Baxter and Byrne 2006)
|
| 83. |
Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2018)
|
| 84. |
Hyperconnectivity, slow synapses in PFC mental retardation and autism model (Testa-Silva et al 2011)
|
| 85. |
Inhibition of bAPs and Ca2+ spikes in a multi-compartment pyramidal neuron model (Wilmes et al 2016)
|
| 86. |
Inhibitory neuron plasticity as a mechanism for ocular dominance plasticity (Bono & Clopath 2019)
|
| 87. |
Inhibitory plasticity balances excitation and inhibition (Vogels et al. 2011)
|
| 88. |
Kinetic NMDA receptor model (Kampa et al 2004)
|
| 89. |
Large scale model of the olfactory bulb (Yu et al., 2013)
|
| 90. |
Learning spatial transformations through STDP (Davison, Frégnac 2006)
|
| 91. |
Leech Mechanosensory Neurons: Synaptic Facilitation by Reflected APs (Baccus 1998)
|
| 92. |
Linking STDP and Dopamine action to solve the distal reward problem (Izhikevich 2007)
|
| 93. |
Long term potentiation, LTP, protein synthesis, proteasome (Smolen et al. 2018)
|
| 94. |
LTP in cerebellar mossy fiber-granule cell synapses (Saftenku 2002)
|
| 95. |
Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015)
|
| 96. |
Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
|
| 97. |
Mirror Neuron (Antunes et al 2017)
|
| 98. |
Model of cerebellar parallel fiber-Purkinje cell LTD and LTP (Gallimore et al 2018)
|
| 99. |
Model of DARPP-32 phosphorylation in striatal medium spiny neurons (Lindskog et al. 2006)
|
| 100. |
Modeling dendritic spikes and plasticity (Bono and Clopath 2017)
|
| 101. |
Modeling dentate granule cells heterosynaptic plasticity using STDP-BCM rule (Jedlicka et al. 2015)
|
| 102. |
Modeling maintenance of Long-Term Potentiation in clustered synapses (Smolen 2015)
|
| 103. |
Modeling temperature changes in AMPAR kinetics (Postlethwaite et al 2007)
|
| 104. |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
|
| 105. |
Multiple mechanisms of short term plasticity at the calyx of Held (Hennig et al. 2008)
|
| 106. |
Multiscale interactions between chemical and electric signaling in LTP (Bhalla 2011)
|
| 107. |
Multiscale simulation of the striatal medium spiny neuron (Mattioni & Le Novere 2013)
|
| 108. |
Multistability of clustered states in a globally inhibitory network (Chandrasekaran et al. 2009)
|
| 109. |
Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)
|
| 110. |
Neural model of two-interval discrimination (Machens et al 2005)
|
| 111. |
New and corrected simulations of synaptic facilitation (Matveev et al. 2002)
|
| 112. |
NMDA subunit effects on Calcium and STDP (Evans et al. 2012)
|
| 113. |
Olfactory bulb cluster formation (Migliore et al. 2010)
|
| 114. |
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
|
| 115. |
Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018)
|
| 116. |
Optimal spatiotemporal spike pattern detection by STDP (Masquelier 2017)
|
| 117. |
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
|
| 118. |
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
|
| 119. |
PKMZ synthesis and AMPAR regulation in late long-term synaptic potentiation (Helfer & Shultz 2018)
|
| 120. |
Place and grid cells in a loop (Rennó-Costa & Tort 2017)
|
| 121. |
Polychronization: Computation With Spikes (Izhikevich 2005)
|
| 122. |
Presynaptic calcium dynamics at neuromuscular junction (Stockbridge, Moore 1984)
|
| 123. |
Prob. Inference of Short-Term Synaptic Plasticity in Neocort. Microcircuits (Costa et al. 2013)
|
| 124. |
Pyramidal neuron conductances state and STDP (Delgado et al. 2010)
|
| 125. |
Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011)
|
| 126. |
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
|
| 127. |
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
|
| 128. |
Reproducing infra-slow oscillations with dopaminergic modulation (Kobayashi et al 2017)
|
| 129. |
Reward modulated STDP (Legenstein et al. 2008)
|
| 130. |
Roles of essential kinases in induction of late hippocampal LTP (Smolen et al., 2006)
|
| 131. |
Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
|
| 132. |
Self-influencing synaptic plasticity (Tamosiunaite et al. 2007)
|
| 133. |
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
|
| 134. |
Short term plasticity at the cerebellar granule cell (Nieus et al. 2006)
|
| 135. |
Short term plasticity of synapses onto V1 layer 2/3 pyramidal neuron (Varela et al 1997)
|
| 136. |
Signaling pathways In D1R containing striatal spiny projection neurons (Blackwell et al 2018)
|
| 137. |
Signaling pathways underlying LTP in hippocampal CA1 pyramidal cells (Jedrzejewska-Szmek et al 2017)
|
| 138. |
Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
|
| 139. |
Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
|
| 140. |
Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
|
| 141. |
SN-MN neurons of Aplysia (Zhou et al. 2014)
|
| 142. |
Spatial structure from diffusive synaptic plasticity (Sweeney and Clopath, 2016)
|
| 143. |
Spatially-varying glutamate diffusion coefficient at CA1 synaptic cleft space (Gupta et al. 2016)
|
| 144. |
Spike frequency adaptation in spinal sensory neurones (Melnick et al 2004)
|
| 145. |
Spike timing detection in different forms of LTD (Doi et al 2005)
|
| 146. |
Spike-timing dependent inhibitory plasticity for gating bAPs (Wilmes et al 2017)
|
| 147. |
Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
|
| 148. |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
|
| 149. |
Spine fusion and branching effects synaptic response (Rusakov et al 1996, 1997)
|
| 150. |
Stability of complex spike timing-dependent plasticity in cerebellar learning (Roberts 2007)
|
| 151. |
Statistical Long-term Synaptic Plasticity (statLTSP) (Costa et al 2017)
|
| 152. |
STD-dependent and independent encoding of Input irregularity as spike rate (Luthman et al. 2011)
|
| 153. |
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
|
| 154. |
STDP and NMDAR Subunits (Gerkin et al. 2007)
|
| 155. |
STDP and oscillations produce phase-locking (Muller et al. 2011)
|
| 156. |
STDP depends on dendritic synapse location (Letzkus et al. 2006)
|
| 157. |
STDP promotes synchrony of inhibitory networks in the presence of heterogeneity (Talathi et al 2008)
|
| 158. |
Stochastic LTP/LTD conditioning of a synapse (Migliore and Lansky 1999)
|
| 159. |
Striatal Output Neuron (Mahon, Deniau, Charpier, Delord 2000)
|
| 160. |
Striatal Spiny Projection Neuron (SPN) plasticity rule (Jedrzejewska-Szmek et al 2016)
|
| 161. |
Striatal Spiny Projection Neuron, inhibition enhances spatial specificity (Dorman et al 2018)
|
| 162. |
Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
|
| 163. |
Supervised learning with predictive coding (Whittington & Bogacz 2017)
|
| 164. |
Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy (Ruijter et al 2017)
|
| 165. |
Synaptic plasticity can produce and enhance direction selectivity (Carver et al, 2008)
|
| 166. |
Synaptic plasticity: pyramid->pyr and pyr->interneuron (Tsodyks et al 1998)
|
| 167. |
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
|
| 168. |
Synaptic transmission at the calyx of Held (Graham et al 2001)
|
| 169. |
Tag Trigger Consolidation (Clopath and Ziegler et al. 2008)
|
| 170. |
Theta phase precession in a model CA3 place cell (Baker and Olds 2007)
|
| 171. |
Transmitter release and Ca diffusion models (Yamada and Zucker 1992)
|
| 172. |
Vestibulo-Ocular Reflex model in Matlab (Clopath at al. 2014)
|
| 173. |
Voltage-based STDP synapse (Clopath et al. 2010)
|
