| | Models |
| 1. |
A CORF computational model of a simple cell that relies on LGN input (Azzopardi & Petkov 2012)
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| 2. |
A dynamical model of the basal ganglia (Leblois et al 2006)
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| 3. |
A fast model of voltage-dependent NMDA Receptors (Moradi et al. 2013)
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| 4. |
A finite volume method for stochastic integrate-and-fire models (Marpeau et al. 2009)
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| 5. |
A Markov model of human Cav2.3 channels and their modulation by Zn2+ (Neumaier et al 2020)
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| 6. |
A Method for Prediction of Receptor Activation in the Simulation of Synapses (Montes et al. 2013)
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| 7. |
A model of the temporal pattern generator of C. elegans egg-laying behavior (Zhang et. al 2010)
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| 8. |
A set of reduced models of layer 5 pyramidal neurons (Bahl et al. 2012)
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| 9. |
A simplified cerebellar Purkinje neuron (the PPR model) (Brown et al. 2011)
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| 10. |
A simplified model of NMDA oscillations in lamprey locomotor neurons (Huss et al. 2008)
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| 11. |
A simulation method for the firing sequences of motor units (Jiang et al 2006)
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| 12. |
A single column thalamocortical network model (Traub et al 2005)
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| 13. |
A spiking model of cortical broadcast and competition (Shanahan 2008)
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| 14. |
Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011)
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| 15. |
Action potential-evoked Na+ influx are similar in axon and soma (Fleidervish et al. 2010)
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| 16. |
Activity dependent changes in motoneurones (Dai Y et al 2002, Gardiner et al 2002)
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| 17. |
Adaptive exponential integrate-and-fire model (Brette & Gerstner 2005)
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| 18. |
Alcohol action in a detailed Purkinje neuron model and an efficient simplified model (Forrest 2015)
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| 19. |
An oscillatory neural model of multiple object tracking (Kazanovich and Borisyuk 2006)
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| 20. |
Artificial neuron model (Izhikevich 2003, 2004, 2007)
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| 21. |
Binocular energy model set for binocular neurons in optic lobe of praying mantis (Rosner et al 2019)
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| 22. |
Biologically-plausible models for spatial navigation (Cannon et al 2003)
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| 23. |
Biophysical and phenomenological models of spike-timing dependent plasticity (Badoual et al. 2006)
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| 24. |
Burst and tonic firing behaviour in subfornical organ (SFO) neurons (Medlock et al 2018)
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| 25. |
Ca(2+) oscillations based on Ca-induced Ca-release (Dupont et al 1991)
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| 26. |
CA1 pyramidal neuron (Ferguson et al. 2014)
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| 27. |
CA1 pyramidal neuron: depolarization block (Bianchi et al. 2012)
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| 28. |
Ca1 pyramidal neuron: reduction model (Marasco et al. 2012)
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| 29. |
CA1 Pyramidal Neuron: Synaptic Scaling (London, Segev 2001)
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| 30. |
Cat auditory nerve model (Zilany and Bruce 2006, 2007)
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| 31. |
CellExcite: an efficient simulation environment for excitable cells (Bartocci et al. 2008)
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| 32. |
Cerebellar memory consolidation model (Yamazaki et al. 2015)
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| 33. |
Cerebellum Purkinje cell: dendritic ion channels activated by climbing fibre (Ait Ouares et al 2019)
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| 34. |
Changes of ionic concentrations during seizure transitions (Gentiletti et al. 2016)
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| 35. |
Circadian clock model based on protein sequestration (simple version) (Kim & Forger 2012)
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| 36. |
Cochlear implant models (Bruce et al. 1999a, b, c, 2000)
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| 37. |
Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005)
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| 38. |
Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
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| 39. |
Combination sensitivity and active conductances (Carlson and Kawasaki 2006)
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| 40. |
Comparison of full and reduced globus pallidus models (Hendrickson 2010)
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| 41. |
Competing oscillator 5-cell circuit and Parameterscape plotting (Gutierrez et al. 2013)
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| 42. |
Competition model of pheromone ratio detection (Zavada et al. 2011)
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| 43. |
Computational aspects of feedback in neural circuits (Maass et al 2006)
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| 44. |
Computer models of corticospinal neurons replicate in vitro dynamics (Neymotin et al. 2017)
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| 45. |
Computing with neural synchrony (Brette 2012)
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| 46. |
Conditions of dominant effectiveness of distal dendrites (Korogod, Kulagina 1998)
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| 47. |
Contibutions of input and history to motoneuron output (Powers et al 2005)
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| 48. |
Dendritic signals command firing dynamics in a Cerebellar Purkinje Cell model (Genet et al. 2010)
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| 49. |
Dendritic tip geometry effects electrical properties (Tsutsui, Oka 2001)
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| 50. |
Disrupted information processing in Fmr1-KO mouse layer 4 barrel cortex (Domanski et al 2019)
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| 51. |
Distinct current modules shape cellular dynamics in model neurons (Alturki et al 2016)
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| 52. |
Dopamine-modulated medium spiny neuron, reduced model (Humphries et al. 2009)
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| 53. |
Duration-tuned neurons from the inferior colliculus of the big brown bat (Aubie et al. 2009)
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| 54. |
Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
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| 55. |
Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
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| 56. |
Dynamical model of olfactory bulb mitral cell (Rubin, Cleland 2006)
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| 57. |
Dynamics of Spike Initiation (Prescott et al. 2008)
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| 58. |
Effect of trp-like current on APs during exposure to sinusoidal voltage (Chen et al. 2010)
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| 59. |
Effects of eugenol on the firing of action potentials in NG108-15 neurons (Huang et al. 2011)
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| 60. |
Effects of synaptic location and timing on synaptic integration (Rall 1964)
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| 61. |
Effects of the membrane AHP on the Lateral Superior Olive (LSO) (Zhou & Colburn 2010)
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| 62. |
eLIF and mAdExp: energy-based integrate-and-fire neurons (Fardet and Levina 2020)
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| 63. |
Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
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| 64. |
Estimation and Production of Time Intervals (Migliore et al 2001)
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| 65. |
Exact mean-field models for Izhikevich networks (Chen and Campbell 2022)
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| 66. |
Fast oscillations in inhibitory networks (Maex, De Schutter 2003)
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| 67. |
Feedforward heteroassociative network with HH dynamics (Lytton 1998)
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| 68. |
Firing patterns of CA3 hippocampal neurons (Soldado-Magraner et al. 2019)
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| 69. |
Fixed point attractor (Hasselmo et al 1995)
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| 70. |
Fluctuating synaptic conductances recreate in-vivo-like activity (Destexhe et al 2001)
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| 71. |
Frog second-order vestibular neuron models (Rossert et al. 2011)
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| 72. |
Functional consequences of cortical circuit abnormalities on gamma in schizophrenia (Spencer 2009)
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| 73. |
Gap-junction coupled network activity depends on coupled dendrites diameter (Gansert et al. 2007)
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| 74. |
Generalized Carnevale-Hines algorithm (van Elburg and van Ooyen 2009)
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| 75. |
Global and multiplexed dendritic computations under in vivo-like conditions (Ujfalussy et al 2018)
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| 76. |
GPi/GPe neuron models (Johnson and McIntyre 2008)
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| 77. |
Grid cell oscillatory interference with noisy network oscillators (Zilli and Hasselmo 2010)
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| 78. |
High dimensional dynamics and low dimensional readouts in neural microcircuits (Haeusler et al 2006)
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| 79. |
Hippocampal context-dependent retrieval (Hasselmo and Eichenbaum 2005)
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| 80. |
Hippocampus temporo-septal engram shift model (Lytton 1999)
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| 81. |
Hodgkin-Huxley models of different classes of cortical neurons (Pospischil et al. 2008)
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| 82. |
Hodgkin-Huxley simplifed 2D and 3D models (Lundstrom et al. 2009)
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| 83. |
Homeostatic mechanisms may shape oscillatory modulations (Peterson & Voytek 2020)
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| 84. |
Impact of dendritic size and topology on pyramidal cell burst firing (van Elburg and van Ooyen 2010)
|
| 85. |
Impedance spectrum in cortical tissue: implications for LFP signal propagation (Miceli et al. 2017)
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| 86. |
Information-processing in lamina-specific cortical microcircuits (Haeusler and Maass 2006)
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| 87. |
Inhibitory control by an integral feedback signal in prefrontal cortex (Miller and Wang 2006)
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| 88. |
Input Fluctuations effects on f-I curves (Arsiero et al. 2007)
|
| 89. |
Integrate and fire model code for spike-based coincidence-detection (Heinz et al. 2001, others)
|
| 90. |
Ion concentration dynamics as a mechanism for neuronal bursting (Barreto & Cressman 2011)
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| 91. |
Ionic current model of a Hypoglossal Motoneuron (Purvis & Butera 2005)
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| 92. |
Irregular oscillations produced by cyclic recurrent inhibition (Friesen, Friesen 1994)
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| 93. |
Kinetic synaptic models applicable to building networks (Destexhe et al 1998)
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| 94. |
Large cortex model with map-based neurons (Rulkov et al 2004)
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| 95. |
Lateral dendrodenditic inhibition in the Olfactory Bulb (David et al. 2008)
|
| 96. |
Long term potentiation, LTP, protein synthesis, proteasome (Smolen et al. 2018)
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| 97. |
Loss of phase-locking in non-weakly coupled inhib. networks of type-I neurons (Oh and Matveev 2009)
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| 98. |
Low Threshold Calcium Currents in TC cells (Destexhe et al 1998)
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| 99. |
Low Threshold Calcium Currents in TC cells (Destexhe et al 1998) (Brian)
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| 100. |
LTP in cerebellar mossy fiber-granule cell synapses (Saftenku 2002)
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| 101. |
Mechanisms underlying subunit independence in pyramidal neuron dendrites (Behabadi and Mel 2014)
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| 102. |
Minimal cell model (Av-Ron et al 1991)
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| 103. |
Model of calcium oscillations in olfactory cilia (Reidl et al. 2006)
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| 104. |
Model of generalized periodic discharges in acute hepatic encephalopathy (Song et al 2019)
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| 105. |
Model of long range transmission of gamma oscillation (Murray 2007)
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| 106. |
Modular grid cell responses as a basis for hippocampal remapping (Monaco and Abbott 2011)
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| 107. |
Modulation of temporal integration window (Migliore, Shepherd 2002)
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| 108. |
Morris-Lecar model of the barnacle giant muscle fiber (Morris, Lecar 1981)
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| 109. |
Motoneuron model of self-sustained firing after spinal cord injury (Kurian et al. 2011)
|
| 110. |
Motoneuron simulations for counting motor units (Major and Jones 2005)
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| 111. |
Multimodal stimuli learning in hawkmoths (Balkenius et al. 2008)
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| 112. |
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
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| 113. |
Multiscale model of olfactory receptor neuron in mouse (Dougherty 2009)
|
| 114. |
Multistability of clustered states in a globally inhibitory network (Chandrasekaran et al. 2009)
|
| 115. |
Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998)
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| 116. |
Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014)
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| 117. |
Neural mass model of the neocortex under sleep regulation (Costa et al 2016)
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| 118. |
NeuroMatic: software for acquisition, analysis and simulation of e-phys data (Rothman & Silver 2018)
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| 119. |
Nicotinic control of dopamine release in nucleus accumbens (Maex et al. 2014)
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| 120. |
Norns - Neural Network Studio (Visser & Van Gils 2014)
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| 121. |
Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009)
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| 122. |
Olfactory Mitral Cell (Davison et al 2000)
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| 123. |
Olfactory receptor neuron model (Dougherty et al 2005)
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| 124. |
Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
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| 125. |
Parallelizing large networks in NEURON (Lytton et al. 2016)
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| 126. |
Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011)
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| 127. |
Polychronization: Computation With Spikes (Izhikevich 2005)
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| 128. |
Population models of temporal differentiation (Tripp and Eliasmith 2010)
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| 129. |
Potjans-Diesmann cortical microcircuit model in NetPyNE (Romaro et al 2021)
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| 130. |
Prediction for the presence of voltage-gated Ca2+ channels in myelinated central axons (Brown 2003)
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| 131. |
Prefrontal cortical mechanisms for goal-directed behavior (Hasselmo 2005)
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| 132. |
Presynaptic calcium dynamics at neuromuscular junction (Stockbridge, Moore 1984)
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| 133. |
Principles governing the operation of synaptic inhibition in dendrites (Gidon & Segev 2012)
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| 134. |
Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011)
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| 135. |
Properties of aconitine-induced block of KDR current in NG108-15 neurons (Lin et al. 2008)
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| 136. |
Pyramidal neurons switch from integrators to resonators (Prescott et al. 2008)
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| 137. |
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
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| 138. |
Rejuvenation model of dopamine neuron (Chan et al. 2007)
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| 139. |
Resource competition in growing neurites (Hjorth et al 2014)
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| 140. |
Role of Ih in firing patterns of cold thermoreceptors (Orio et al., 2012)
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| 141. |
Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
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| 142. |
Salamander retinal ganglian cells: morphology influences firing (Sheasby, Fohlmeister 1999)
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| 143. |
Self-influencing synaptic plasticity (Tamosiunaite et al. 2007)
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| 144. |
Sensory feedback in an oscillatory interference model of place cell activity (Monaco et al. 2011)
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| 145. |
Sharpness of spike initiation in neurons explained by compartmentalization (Brette 2013)
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| 146. |
Single neuron properties shape chaos and signal transmission in random NNs (Muscinelli et al 2019)
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| 147. |
Site of impulse initiation in a neuron (Moore et al 1983)
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| 148. |
Somatodendritic consistency check for temporal feature segmentation (Asabuki & Fukai 2020)
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| 149. |
Sparsely connected networks of spiking neurons (Brunel 2000)
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| 150. |
Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008)
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| 151. |
Spike trains in Hodgkin–Huxley model and ISIs of acupuncture manipulations (Wang et al. 2008)
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| 152. |
Spinal Motor Neuron (Dodge, Cooley 1973)
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| 153. |
Spontaneous calcium oscillations in astrocytes (Lavrentovich and Hemkin 2008)
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| 154. |
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
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| 155. |
Steady-state Vm distribution of neurons subject to synaptic noise (Rudolph, Destexhe 2005)
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| 156. |
Strategy for kinase transport by microtubules to nerve terminals (Koon et al. 2014)
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| 157. |
Synaptic integration by MEC neurons (Justus et al. 2017)
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| 158. |
Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
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| 159. |
Synergistic inhibitory action of oxcarbazepine on INa and IK (Huang et al. 2008)
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| 160. |
Systematic integration of data into multi-scale models of mouse primary V1 (Billeh et al 2020)
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| 161. |
Systems-level modeling of neuronal circuits for leech swimming (Zheng et al. 2007)
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| 162. |
Tag Trigger Consolidation (Clopath and Ziegler et al. 2008)
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| 163. |
Thalamic reticular neurons: the role of Ca currents (Destexhe et al 1996)
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| 164. |
The activity phase of postsynaptic neurons (Bose et al 2004)
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| 165. |
Theoretical reconstrucion of field potentials and dendrodendritic synaptic...(Rall & Shepherd 1968)
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| 166. |
Theory of arachnid prey localization (Sturzl et al. 2000)
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| 167. |
Theory of sequence memory in neocortex (Hawkins & Ahmad 2016)
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| 168. |
Theta phase precession in a model CA3 place cell (Baker and Olds 2007)
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| 169. |
Translating network models to parallel hardware in NEURON (Hines and Carnevale 2008)
|
| 170. |
Vertical System (VS) tangential cells network model (Trousdale et al. 2014)
|
| 171. |
Virtual Retina: biological retina simulator, with contrast gain control (Wohrer and Kornprobst 2009)
|
| 172. |
Visual physiology of the layer 4 cortical circuit in silico (Arkhipov et al 2018)
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