1 |
3D olfactory bulb: operators (Migliore et al, 2015) |
2 |
3D-printer visualization of NEURON models (McDougal and Shepherd, 2015) |
3 |
A contracting model of the basal ganglia (Girard et al. 2008) |
4 |
A detailed Purkinje cell model (Masoli et al 2015) |
5 |
A general model of hippocampal and dorsal striatal learning and decision making (Geerts et al 2020) |
6 |
A model of ASIC1a and synaptic cleft pH modulating wind-up in wide dynamic range neurons (Delrocq) |
7 |
A model of optimal learning with redundant synaptic connections (Hiratani & Fukai 2018) |
8 |
A network of AOB mitral cells that produces infra-slow bursting (Zylbertal et al. 2017) |
9 |
A simple model of neuromodulatory state-dependent synaptic plasticity (Pedrosa and Clopath, 2016) |
10 |
A single compartment model of Drosophila motor neuron (Megwa et al 2023) |
11 |
A single-cell spiking model for the origin of grid-cell patterns (D'Albis & Kempter 2017) |
12 |
A spatial model of the intermediate superior colliculus (Moren et. al. 2013) |
13 |
A synapse model for developing somatosensory cortex (Manninen et al 2020) |
14 |
Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011) |
15 |
Acetylcholine Boosts Dendritic NMDA Spikes in a CA3 Pyramidal Neuron Model (Humphries et al., 2021) |
16 |
Action potential-evoked Na+ influx similar in axon and soma (Fleidervish et al. 2010) (Python) |
17 |
Activity patterns in a subthalamopallidal network of the basal ganglia model (Terman et al 2002) |
18 |
Adaptive dual control of deep brain stimulation in Parkinsons disease simulations (Grado et al 2018) |
19 |
Allen Institute: Gad2-IRES-Cre VISp layer 5 472447460 |
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Allen Institute: Gad2-IRES-Cre VISp layer 5 473561729 |
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Allen Institute: Htr3a-Cre VISp layer 2/3 472352327 |
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Allen Institute: Htr3a-Cre VISp layer 2/3 472421285 |
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Allen Institute: Nr5a1-Cre VISp layer 2/3 473862496 |
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Allen Institute: Nr5a1-Cre VISp layer 4 329322394 |
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Allen Institute: Nr5a1-Cre VISp layer 4 472306544 |
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Allen Institute: Nr5a1-Cre VISp layer 4 472442377 |
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Allen Institute: Nr5a1-Cre VISp layer 4 472451419 |
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Allen Institute: Nr5a1-Cre VISp layer 4 472915634 |
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Allen Institute: Nr5a1-Cre VISp layer 4 473834758 |
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Allen Institute: Nr5a1-Cre VISp layer 4 473863035 |
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Allen Institute: Nr5a1-Cre VISp layer 4 473871429 |
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Allen Institute: Ntsr1-Cre VISp layer 4 472430904 |
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Allen Institute: Pvalb-IRES-Cre VISp layer 2/3 472306616 |
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Allen Institute: Pvalb-IRES-Cre VISp layer 5 471085845 |
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Allen Institute: Pvalb-IRES-Cre VISp layer 5 472349114 |
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Allen Institute: Pvalb-IRES-Cre VISp layer 5 472912177 |
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Allen Institute: Pvalb-IRES-Cre VISp layer 5 473465774 |
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Allen Institute: Pvalb-IRES-Cre VISp layer 5 473862421 |
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Allen Institute: Pvalb-IRES-Cre VISp layer 6a 471081668 |
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Allen Institute: Pvalb-IRES-Cre VISp layer 6a 472301074 |
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Allen Institute: Pvalb-IRES-Cre VISp layer 6a 473860269 |
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Allen Institute: Rbp4-Cre VISp layer 5 472424854 |
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Allen Institute: Rbp4-Cre VISp layer 6a 473871592 |
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Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472299294 |
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Allen Institute: Rorb-IRES2-Cre-D VISp layer 2/3 472434498 |
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Allen Institute: Rorb-IRES2-Cre-D VISp layer 4 473863510 |
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Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 471087975 |
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Allen Institute: Rorb-IRES2-Cre-D VISp layer 5 473561660 |
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Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472300877 |
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Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472427533 |
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Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 472912107 |
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Allen Institute: Scnn1a-Tg2-Cre VISp layer 4 473465456 |
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Allen Institute: Scnn1a-Tg2-Cre VISp layer 5 472306460 |
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Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 329321704 |
55 |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 472363762 |
56 |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473862845 |
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Allen Institute: Scnn1a-Tg3-Cre VISp layer 4 473872986 |
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Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 472455509 |
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Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473863578 |
60 |
Allen Institute: Scnn1a-Tg3-Cre VISp layer 5 473871773 |
61 |
Allen Institute: Sst-IRES-Cre VISp layer 2/3 471086533 |
62 |
Allen Institute: Sst-IRES-Cre VISp layer 2/3 472304676 |
63 |
Allen Institute: Sst-IRES-Cre VISp layer 4 472304539 |
64 |
Allen Institute: Sst-IRES-Cre VISp layer 5 472299363 |
65 |
Allen Institute: Sst-IRES-Cre VISp layer 5 472450023 |
66 |
Allen Institute: Sst-IRES-Cre VISp layer 5 473835796 |
67 |
Allen Institute: Sst-IRES-Cre VISp layer 6a 472440759 |
68 |
An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al 2013) |
69 |
Analytical modelling of temperature effects on an AMPA-type synapse (Kufel & Wojcik 2018) |
70 |
AOB mitral cell: persistent activity without feedback (Zylbertal et al., 2015) |
71 |
Automated metadata suggester (McDougal et al 2018) |
72 |
Ave. neuron model for slow-wave sleep in cortex Tatsuki 2016 Yoshida 2018 Rasmussen 2017 (all et al) |
73 |
Biophysical model for field potentials of networks of I&F neurons (beim Graben & Serafim 2013) |
74 |
Biophysically detailed model of somatosensory thalamocortical circuit |
75 |
Boolean network-based analysis of the apoptosis network (Mai and Liu 2009) |
76 |
Brain networks simulators - a comparative study (Tikidji-Hamburyan et al 2017) |
77 |
Brette-Gerstner model (Touboul and Brette 2008) |
78 |
CA1 PV+ fast-firing hippocampal interneuron (Ferguson et al. 2013) |
79 |
CA1 pyr cell: Inhibitory modulation of spatial selectivity+phase precession (Grienberger et al 2017) |
80 |
CA1 pyr cell: phenomenological NMDAR-based model of synaptic plasticity (Dainauskas et al 2023) |
81 |
CA1 pyramidal cell receptor dependent cAMP dynamics (Chay et al. 2016) |
82 |
CA1 pyramidal neuron (Ferguson et al. 2014) |
83 |
CA1 pyramidal neuron network model (Ferguson et al 2015) |
84 |
CA1 SOM+ (OLM) hippocampal interneuron (Ferguson et al. 2015) |
85 |
Ca2+ oscillations in single astrocytes (Lavrentovich and Hemkin 2008) (python) (Manninen et al 2017) |
86 |
CA3 Network Model of Epileptic Activity (Sanjay et. al, 2015) |
87 |
Calculating the consequences of left-shifted Nav channel activity in sick cells (Joos et al 2018) |
88 |
Cellular and Synaptic Mechanisms Differentiate Mitral & Superficial Tufted Cells (Jones et al 2020) |
89 |
Central Nervous System tadpole model in Matlab and NEURON-Python (Ferrario et al, 2021) |
90 |
Cerebellar granule cell (Masoli et al 2020) |
91 |
CN bushy, stellate neurons (Rothman, Manis 2003) (Brian 2) |
92 |
CN bushy, stellate neurons (Rothman, Manis 2003) (Brian) |
93 |
Code to calc. spike-trig. ave (STA) conduct. from Vm (Pospischil et al. 2007, Rudolph et al. 2007) |
94 |
Coincident signals in Olfactory Bulb Granule Cell spines (Aghvami et al 2019) |
95 |
Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014) |
96 |
Composite spiking network/neural field model of Parkinsons (Kerr et al 2013) |
97 |
Computational modeling of gephyrin-dependent inhibitory transsynaptic signaling (Lupascu et al 2020) |
98 |
Computer models of corticospinal neurons replicate in vitro dynamics (Neymotin et al. 2017) |
99 |
Computing with neural synchrony (Brette 2012) |
100 |
Concentration dependent nonlinear K+ and Cl- leak current (Huang et al. 2015) |
101 |
Conductance-based model of rodent thoracic sympathetic postganglionic neuron (McKinnon et al 2019) |
102 |
Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012) |
103 |
Constructed Tessellated Neuronal Geometries (CTNG) (McDougal et al. 2013) |
104 |
Cortical Basal Ganglia Network Model during Closed-loop DBS (Fleming et al 2020) |
105 |
Cortical feedback alters visual response properties of dLGN relay cells (Martínez-Cañada et al 2018) |
106 |
CRH modulates excitatory transmission and network physiology in hippocampus (Gunn et al. 2017) |
107 |
Current Dipole in Laminar Neocortex (Lee et al. 2013) |
108 |
Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. 2021) |
109 |
Dentate Gyrus model including Granule cells with dendritic compartments (Chavlis et al 2017) |
110 |
Depolarization Enhacement of Dendritic Spike Propagation (Bock et al 2022) |
111 |
Diffusive homeostasis in a spiking network model (Sweeney et al. 2015) |
112 |
Distal inhibitory control of sensory-evoked excitation (Egger, Schmitt et al. 2015) |
113 |
Dorsal Column Fiber Stimulation model (Gilbert et al. 2022) |
114 |
Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012) |
115 |
Earthworm medial giant fiber conduction velocity across electrical synapses (Heller, Crisp 2016) |
116 |
Effect of polysynaptic facilitaiton between piriform-hippocampal network stages (Trieu et al 2015) |
117 |
Efficient simulation of 3D reaction-diffusion in models of neurons (McDougal et al, 2022) |
118 |
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014) |
119 |
ELL Medium Ganglion Cell (Mormyrid fish) (Muller et al, accepted) |
120 |
ELL Medium Ganglion cell (Muller et al 2019) |
121 |
Endocannabinoid dynamics gate spike-timing dependent depression and potentiation (Cui et al 2016) |
122 |
Excitatory synaptic interactions in pyramidal neuron dendrites (Behabadi et al. 2012) |
123 |
Explainable AI for spatial navigation based on hippocampal circuitry (Coppolino + Migliore 2023) |
124 |
Fast Spiking Basket cells (Tzilivaki et al 2019) |
125 |
Feedforward network undergoing Up-state-mediated plasticity (Gonzalez-Rueda et al. 2018) |
126 |
Firing patterns of CA3 hippocampal neurons (Soldado-Magraner et al. 2019) |
127 |
Fully continuous Pinsky-Rinzel model for bifurcation analysis (Atherton et al. 2016) |
128 |
Functional balanced networks with synaptic plasticity (Sadeh et al, 2015) |
129 |
Gamma-beta alternation in the olfactory bulb (David, Fourcaud-Trocmé et al., 2015) |
130 |
Gap junction plasticity as a mechanism to regulate network-wide oscillations (Pernelle et al 2018) |
131 |
Glutamate mediated dendritic and somatic plateau potentials in cortical L5 pyr cells (Gao et al '20) |
132 |
Glutamate-evoked Ca2+ oscillations in single astrocytes (De Pitta et al. 2009) (Manninen et al 2017) |
133 |
Glutamate-evoked Ca2+ oscillations in single astrocytes (Modified from Dupont et al. 2011) |
134 |
Goldfish Mauthner cell (Medan et al 2017) |
135 |
Grid cell-to-place cell transformation model w AD-related synaptic loss (Ness and Schultz 2021) |
136 |
Hierarchical network model of perceptual decision making (Wimmer et al 2015) |
137 |
Hippocampal CA1 pyramidal cell demonstrating dynamic mode switching (Berteau & Bullock 2020) |
138 |
Hippocampus CA1 OLM cell multicompartment conductance-based model (Sun et al. 2023) |
139 |
Hopfield and Brody model (Hopfield, Brody 2000) (NEURON+python) |
140 |
Human auditory periphery model: cochlea, IHC-AN, auditory brainstem responses (Verhulst et al 2018) |
141 |
Human L2/3 pyramidal cells with low Cm values (Eyal et al. 2016) |
142 |
Hybrid NEURON-COMSOL sciatic nerve model with extracellular TIME stimulation |
143 |
Hyperexcitability from Nav1.2 channel loss in neocortical pyramidal cells (Spratt et al 2021) |
144 |
Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013) |
145 |
Impedance spectrum in cortical tissue: implications for LFP signal propagation (Miceli et al. 2017) |
146 |
In vivo imaging of dentate gyrus mossy cells in behaving mice (Danielson et al 2017) |
147 |
Information transmission in cerebellar granule cell models (Rossert et al. 2014) |
148 |
Inhibition of bAPs and Ca2+ spikes in a multi-compartment pyramidal neuron model (Wilmes et al 2016) |
149 |
Inhibitory neuron plasticity as a mechanism for ocular dominance plasticity (Bono & Clopath 2019) |
150 |
Inhibitory plasticity balances excitation and inhibition (Vogels et al. 2011) |
151 |
Input strength and time-varying oscillation peak frequency (Cohen MX 2014) |
152 |
Interplay between somatic and dendritic inhibition promotes place fields (Pedrosa & Clopath 2020) |
153 |
Kernel method to calculate LFPs from networks of point neurons (Telenczuk et al 2020) |
154 |
Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011) |
155 |
Large-scale neural model of visual short-term memory (Ulloa, Horwitz 2016; Horwitz, et al. 2005,...) |
156 |
Layer V pyramidal cell functions and schizophrenia genetics (Mäki-Marttunen et al 2019) |
157 |
Layer V pyramidal cell model with reduced morphology (Mäki-Marttunen et al 2018) |
158 |
LCN-HippoModel: model of CA1 PCs deep-superficial theta firing dynamics (Navas-Olive et al 2020) |
159 |
Leaky Integrate and Fire Neuron Model of Context Integration (Calvin, Redish 2021) |
160 |
LFP in striatum (Tanaka & Nakamura 2019) |
161 |
Library of biophysically detailed striatal projection neurons (Lindroos and Hellgren Kotaleski 2020) |
162 |
Locus Coeruleus blocking model (Chowdhury et al.) |
163 |
Maximal firing rate in midbrain dopamine neurons (Knowlton et al., 2021) |
164 |
Mean field model for Hodgkin Huxley networks of neurons (Carlu et al 2020) |
165 |
Mean-Field models of conductance-based NNs of spiking neurons with adaptation (di Volo et al 2019) |
166 |
MEC layer II stellate cell: Synaptic mechanisms of grid cells (Schmidt-Hieber & Hausser 2013) |
167 |
Mechanisms underlying subunit independence in pyramidal neuron dendrites (Behabadi and Mel 2014) |
168 |
Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015) |
169 |
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) |
170 |
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN) |
171 |
Minimal model of interictal and ictal discharges “Epileptor-2” (Chizhov et al 2018) |
172 |
Model of eupnea and sigh generation in respiratory network (Toporikova et al 2015) |
173 |
Model of peripheral nerve with ephaptic coupling (Capllonch-Juan & Sepulveda 2020) |
174 |
Model of peristalsis in the dorsal blood vessel of Lumbriculus variegatus (Halfmann and Crisp 2011) |
175 |
Model of Type 3 firing in neurons (Clay et al 2008) |
176 |
Modeling a Nociceptive Neuro-Immune Synapse Activated by ATP and 5-HT in Meninges (Suleimanova et al., 2020) |
177 |
Modeling and MEG evidence of early consonance processing in auditory cortex (Tabas et al 2019) |
178 |
Modeling dendritic spikes and plasticity (Bono and Clopath 2017) |
179 |
Modelling platform of the cochlear nucleus and other auditory circuits (Manis & Compagnola 2018) |
180 |
Modelling the effects of short and random proto-neural elongations (de Wiljes et al 2017) |
181 |
Models of visual topographic map alignment in the Superior Colliculus (Tikidji-Hamburyan et al 2016) |
182 |
ModelView: online structural analysis of computational models (McDougal et al. 2015) |
183 |
Modular grid cell responses as a basis for hippocampal remapping (Monaco and Abbott 2011) |
184 |
Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012) |
185 |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017) |
186 |
Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON) |
187 |
Multifunctional control of feeding in Aplysia (Webster-Wood et al. 2020) |
188 |
MultiScale Optimized Neuronal Intramembrane Cavitation (SONIC) model (Lemaire et al. 2019) |
189 |
Multiscale simulation of the striatal medium spiny neuron (Mattioni & Le Novere 2013) |
190 |
Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016) |
191 |
Muscle spindle feedback circuit (Moraud et al, 2016) |
192 |
Na+ Signals in olfactory bulb neurons (granule cell model) (Ona-Jodar et al. 2017) |
193 |
Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013) |
194 |
Network dynamics of electrically coupled pituitary cells (Fazli and Bertram, 2022) |
195 |
Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007) |
196 |
Neural Field Simulator (Nichols & Hutt 2012-2015) |
197 |
Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014) |
198 |
NeuroGPU example on L5_TTPC1_cADpyr232_1 (Ben-Shalom 2022)(Ramaswamy et al., 2015) |
199 |
Neuromuscular network model of gut motility (Barth et al 2017) |
200 |
NEURON + Python (Hines et al. 2009) |
201 |
Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015) |
202 |
Online learning model of olfactory bulb external plexiform layer network (Imam & Cleland 2020) |
203 |
Optical stimulation of a channelrhodopsin-2 positive pyramidal neuron model (Foutz et al 2012) |
204 |
Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015) |
205 |
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009) |
206 |
Parallel Tempering MCMC on Liu et al 1998 (Wang et al 2022) |
207 |
Perfect Integrate and fire with noisy adaptation or fractional noise (Richard et al 2018) |
208 |
Phase response curves firing rate dependency of rat purkinje neurons in vitro (Couto et al 2015) |
209 |
Phase response theory in sparsely + strongly connected inhibitory NNs (Tikidji-Hamburyan et al 2019) |
210 |
Phenomenological models of NaV1.5: Hodgkin-Huxley and kinetic formalisms (Andreozzi et al 2019) |
211 |
PIR gamma oscillations in network of resonators (Tikidji-Hamburyan et al. 2015) |
212 |
Place and grid cells in a loop (Rennó-Costa & Tort 2017) |
213 |
Pleiotropic effects of SCZ-associated genes (Mäki-Marttunen et al. 2017) |
214 |
PLS-framework (Tikidji-Hamburyan and Colonnese 2021) |
215 |
Potjans-Diesmann cortical microcircuit model in NetPyNE (Romaro et al 2021) |
216 |
Purkinje cell dendritic tree selection in early cerebellar development (Kato + De Schutter) |
217 |
PyMUS: A Python based Motor Unit Simulator (Kim & Kim 2018) |
218 |
Python demo of the VmT method to extract conductances from single Vm traces (Pospischil et al. 2009) |
219 |
Recurrent amplification of grid-cell activity (D'Albis and Kempter 2020) |
220 |
Reduced-morphology model of CA1 pyramidal cells optimized + validated w/ HippoUnit (Tomko et al '21) |
221 |
Resource competition in growing neurites (Hjorth et al 2014) |
222 |
Reward modulated STDP (Legenstein et al. 2008) |
223 |
Scaffold model of mouse CA1 hippocampus. (Gandolfi et al 2022) |
224 |
Schiz.-linked gene effects on intrinsic single-neuron excitability (Maki-Marttunen et al. 2016) |
225 |
SCN1A gain-of-function in early infantile encephalopathy (Berecki et al 2019) |
226 |
SCZ-associated variant effects on L5 pyr cell NN activity and delta osc. (Maki-Marttunen et al 2018) |
227 |
Self-organization of cortical areas in development and evolution of neocortex (Imam & Finlay 2021) |
228 |
Sensory feedback in an oscillatory interference model of place cell activity (Monaco et al. 2011) |
229 |
Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020) |
230 |
Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014) |
231 |
Simulation of calcium signaling in fine astrocytic processes (Denizot et al 2019) |
232 |
Single Trial Sequence learning: a spiking neurons model based on hippocampus (Coppolino et al 2021) |
233 |
Somatodendritic consistency check for temporal feature segmentation (Asabuki & Fukai 2020) |
234 |
Sound-evoked activity in peripheral axons of type I spiral ganglion neurons (Budak et al. 2021) |
235 |
Sparse connectivity is required for decorrelation, pattern separation (Cayco-Gajic et al 2017) |
236 |
Spatial structure from diffusive synaptic plasticity (Sweeney and Clopath, 2016) |
237 |
Spike-Timing-Based Computation in Sound Localization (Goodman and Brette 2010) |
238 |
Spikelet generation and AP initiation in a L5 neocortical pyr neuron (Michalikova et al. 2017) Fig 1 |
239 |
Spikelet generation and AP initiation in a simplified pyr neuron (Michalikova et al. 2017) Fig 3 |
240 |
Spiny Projection Neuron Ca2+ based plasticity is robust to in vivo spike train (Dorman&Blackwell) |
241 |
Spontaneous calcium oscillations in single astrocytes (Riera et al. 2011) (Manninen et al 2017) |
242 |
Spontaneous weakly correlated excitation and inhibition (Tan et al. 2013) |
243 |
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011) |
244 |
STDP and oscillations produce phase-locking (Muller et al. 2011) |
245 |
Stochastic versions of the Hodgkin-Huxley equations (Goldwyn, Shea-Brown 2011) (pylab) |
246 |
Striatal D1R medium spiny neuron, including a subcellular DA cascade (Lindroos et al 2018) |
247 |
Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013) |
248 |
Switching circuit for optimal context integration during static + moving contexts (Voina et al 2022) |
249 |
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013) |
250 |
Synchronized oscillations of clock gene expression in the choroid plexus (Myung et al 2018) |
251 |
Tag Trigger Consolidation (Clopath and Ziegler et al. 2008) |
252 |
The electrodiffusive Pinsky-Rinzel (edPR) model (Sætra et al., 2020) |
253 |
Theory and simulation of integrate-and-fire neurons driven by shot noise (Droste & Lindner 2017) |
254 |
TRPM8-dependent dynamic response in cold thermoreceptors (Olivares et al. 2015) |
255 |
Unsupervised learning of an efficient short-term memory network (Vertechi, Brendel & Machens 2014) |
256 |
Ventromedial Thalamocortical Neuron (Bichler et al 2021) |
257 |
Vertical System (VS) tangential cells network model (Trousdale et al. 2014) |
258 |
Voltage-based STDP synapse (Clopath et al. 2010) |
259 |
Voltage-gated conductances can counteract filtering effect of membrane capacitance (Heras et al '16) |