| | Models |
| 1. |
A 1000 cell network model for Lateral Amygdala (Kim et al. 2013)
|
| 2. |
A basal ganglia model of aberrant learning (Ursino et al. 2018)
|
| 3. |
A Computational Model of Bidirectional Plasticity Regulation by betaCaMKII (Pinto et al. 2019)
|
| 4. |
A fast model of voltage-dependent NMDA Receptors (Moradi et al. 2013)
|
| 5. |
A model of cerebellar LTD including RKIP inactivation of Raf and MEK (Hepburn et al 2017)
|
| 6. |
A simple model of neuromodulatory state-dependent synaptic plasticity (Pedrosa and Clopath, 2016)
|
| 7. |
Acetylcholine-modulated plasticity in reward-driven navigation (Zannone et al 2018)
|
| 8. |
Adaptive robotic control driven by a versatile spiking cerebellar network (Casellato et al. 2014)
|
| 9. |
An allosteric kinetics of NMDARs in STDP (Urakubo et al. 2008)
|
| 10. |
Biologically-plausible models for spatial navigation (Cannon et al 2003)
|
| 11. |
Biophysical and phenomenological models of spike-timing dependent plasticity (Badoual et al. 2006)
|
| 12. |
Borderline Personality Disorder (Berdahl, 2010)
|
| 13. |
CA1 pyramidal cell receptor dependent cAMP dynamics (Chay et al. 2016)
|
| 14. |
CA1 pyramidal neuron: Dendritic Na+ spikes are required for LTP at distal synapses (Kim et al 2015)
|
| 15. |
CA1 pyramidal neuron: synaptic plasticity during theta cycles (Saudargiene et al. 2015)
|
| 16. |
Ca2+ requirements for Long-Term Depression in Purkinje Cells (Criseida Zamora et al 2018)
|
| 17. |
Calcium influx during striatal upstates (Evans et al. 2013)
|
| 18. |
Calcium response prediction in the striatal spines depending on input timing (Nakano et al. 2013)
|
| 19. |
CaMKII system exhibiting bistability with respect to calcium (Graupner and Brunel 2007)
|
| 20. |
Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
|
| 21. |
Cerebellar memory consolidation model (Yamazaki et al. 2015)
|
| 22. |
Computing with neural synchrony (Brette 2012)
|
| 23. |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
|
| 24. |
Cortico-striatal plasticity in medium spiny neurons (Gurney et al 2015)
|
| 25. |
Diffusive homeostasis in a spiking network model (Sweeney et al. 2015)
|
| 26. |
Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013)
|
| 27. |
Distributed synaptic plasticity and spike timing (Garrido et al. 2013)
|
| 28. |
Effect of the initial synaptic state on the probability to induce LTP and LTD (Migliore et al. 2015)
|
| 29. |
Effects of increasing CREB on storage and recall processes in a CA1 network (Bianchi et al. 2014)
|
| 30. |
Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011)
|
| 31. |
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
|
| 32. |
Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009)
|
| 33. |
Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016)
|
| 34. |
Fast convergence of cerebellar learning (Luque et al. 2015)
|
| 35. |
Feedforward network undergoing Up-state-mediated plasticity (Gonzalez-Rueda et al. 2018)
|
| 36. |
First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018)
|
| 37. |
Formation of synfire chains (Jun and Jin 2007)
|
| 38. |
Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
|
| 39. |
Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018)
|
| 40. |
Heterosynaptic Spike-Timing-Dependent Plasticity (Hiratani & Fukai 2017)
|
| 41. |
Hippocampus CA1: Simulations of LTP signaling pathways (Kim M et al. 2011)
|
| 42. |
Hippocampus CA1: Temporal sensitivity of signaling pathways underlying LTP (Kim et al. 2010)
|
| 43. |
Inhibitory plasticity balances excitation and inhibition (Vogels et al. 2011)
|
| 44. |
Kinetic NMDA receptor model (Kampa et al 2004)
|
| 45. |
Learning spatial transformations through STDP (Davison, Frégnac 2006)
|
| 46. |
Linking STDP and Dopamine action to solve the distal reward problem (Izhikevich 2007)
|
| 47. |
Long term potentiation, LTP, protein synthesis, proteasome (Smolen et al. 2018)
|
| 48. |
LTP in cerebellar mossy fiber-granule cell synapses (Saftenku 2002)
|
| 49. |
Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015)
|
| 50. |
Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
|
| 51. |
Mirror Neuron (Antunes et al 2017)
|
| 52. |
Model of cerebellar parallel fiber-Purkinje cell LTD and LTP (Gallimore et al 2018)
|
| 53. |
Model of DARPP-32 phosphorylation in striatal medium spiny neurons (Lindskog et al. 2006)
|
| 54. |
Modeling dendritic spikes and plasticity (Bono and Clopath 2017)
|
| 55. |
Modeling dentate granule cells heterosynaptic plasticity using STDP-BCM rule (Jedlicka et al. 2015)
|
| 56. |
Modeling maintenance of Long-Term Potentiation in clustered synapses (Smolen 2015)
|
| 57. |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
|
| 58. |
Multiscale interactions between chemical and electric signaling in LTP (Bhalla 2011)
|
| 59. |
Neural model of two-interval discrimination (Machens et al 2005)
|
| 60. |
NMDA subunit effects on Calcium and STDP (Evans et al. 2012)
|
| 61. |
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
|
| 62. |
Optimal spatiotemporal spike pattern detection by STDP (Masquelier 2017)
|
| 63. |
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
|
| 64. |
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
|
| 65. |
PKMZ synthesis and AMPAR regulation in late long-term synaptic potentiation (Helfer & Shultz 2018)
|
| 66. |
Polychronization: Computation With Spikes (Izhikevich 2005)
|
| 67. |
Pyramidal neuron conductances state and STDP (Delgado et al. 2010)
|
| 68. |
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
|
| 69. |
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
|
| 70. |
Reproducing infra-slow oscillations with dopaminergic modulation (Kobayashi et al 2017)
|
| 71. |
Reward modulated STDP (Legenstein et al. 2008)
|
| 72. |
Roles of essential kinases in induction of late hippocampal LTP (Smolen et al., 2006)
|
| 73. |
Self-influencing synaptic plasticity (Tamosiunaite et al. 2007)
|
| 74. |
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
|
| 75. |
Signaling pathways In D1R containing striatal spiny projection neurons (Blackwell et al 2018)
|
| 76. |
Signaling pathways underlying LTP in hippocampal CA1 pyramidal cells (Jedrzejewska-Szmek et al 2017)
|
| 77. |
Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
|
| 78. |
Spatial structure from diffusive synaptic plasticity (Sweeney and Clopath, 2016)
|
| 79. |
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019)
|
| 80. |
Spike-timing dependent inhibitory plasticity for gating bAPs (Wilmes et al 2017)
|
| 81. |
Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
|
| 82. |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
|
| 83. |
Spine fusion and branching effects synaptic response (Rusakov et al 1996, 1997)
|
| 84. |
Stability of complex spike timing-dependent plasticity in cerebellar learning (Roberts 2007)
|
| 85. |
Statistical Long-term Synaptic Plasticity (statLTSP) (Costa et al 2017)
|
| 86. |
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
|
| 87. |
STDP and BDNF in CA1 spines (Solinas et al. 2019)
|
| 88. |
STDP and NMDAR Subunits (Gerkin et al. 2007)
|
| 89. |
STDP and oscillations produce phase-locking (Muller et al. 2011)
|
| 90. |
STDP depends on dendritic synapse location (Letzkus et al. 2006)
|
| 91. |
STDP promotes synchrony of inhibitory networks in the presence of heterogeneity (Talathi et al 2008)
|
| 92. |
Stochastic LTP/LTD conditioning of a synapse (Migliore and Lansky 1999)
|
| 93. |
Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy (Ruijter et al 2017)
|
| 94. |
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
|
| 95. |
Tag Trigger Consolidation (Clopath and Ziegler et al. 2008)
|
| 96. |
Theta phase precession in a model CA3 place cell (Baker and Olds 2007)
|
| 97. |
Voltage-based STDP synapse (Clopath et al. 2010)
|
