| 41 |
CA1 pyramidal neuron synaptic integration (Bloss et al. 2016) |
| 42 |
CA1 pyramidal neuron synaptic integration (Li and Ascoli 2006, 2008) |
| 43 |
CA1 pyramidal neuron: as a 2-layer NN and subthreshold synaptic summation (Poirazi et al 2003) |
| 44 |
CA1 pyramidal neuron: Dendritic Na+ spikes are required for LTP at distal synapses (Kim et al 2015) |
| 45 |
CA1 pyramidal neuron: dendritic spike initiation (Gasparini et al 2004) |
| 46 |
CA1 pyramidal neuron: depolarization block (Bianchi et al. 2012) |
| 47 |
CA1 pyramidal neuron: nonlinear a5-GABAAR controls synaptic NMDAR activation (Schulz et al 2018) |
| 48 |
CA1 pyramidal neuron: Persistent Na current mediates steep synaptic amplification (Hsu et al 2018) |
| 49 |
CA1 pyramidal neuron: synaptically-induced bAP predicts synapse location (Sterratt et al. 2012) |
| 50 |
CA1 stratum radiatum interneuron multicompartmental model (Katona et al. 2011) |
| 51 |
CA3 Network Model of Epileptic Activity (Sanjay et. al, 2015) |
| 52 |
Calcium influx during striatal upstates (Evans et al. 2013) |
| 53 |
Calcium response prediction in the striatal spines depending on input timing (Nakano et al. 2013) |
| 54 |
Calcium waves and mGluR-dependent synaptic plasticity in CA1 pyr. neurons (Ashhad & Narayanan 2013) |
| 55 |
Cell-type specific integration of feedforward and feedback synaptic inputs (Ridner et al, 2022) |
| 56 |
Central Nervous System tadpole model in Matlab and NEURON-Python (Ferrario et al, 2021) |
| 57 |
Cerebellar cortex oscil. robustness from Golgi cell gap jncs (Simoes de Souza and De Schutter 2011) |
| 58 |
Cerebellar granular layer (Maex and De Schutter 1998) |
| 59 |
Cerebellar granule cell (Masoli et al 2020) |
| 60 |
Cerebellar Model for the Optokinetic Response (Kim and Lim 2021) |
| 61 |
Cerebellar nuclear neuron (Sudhakar et al., 2015) |
| 62 |
Cerebellar Nucleus Neuron (Steuber, Schultheiss, Silver, De Schutter & Jaeger, 2010) |
| 63 |
Cerebellum granule cell FHF (Dover et al. 2016) |
| 64 |
Circadian rhythmicity shapes astrocyte morphology and neuronal function in CA1 (McCauley et al 2020) |
| 65 |
Coincident glutamatergic depolarization effects on Cl- dynamics (Lombardi et al, 2021) |
| 66 |
Coincident signals in Olfactory Bulb Granule Cell spines (Aghvami et al 2019) |
| 67 |
Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017) |
| 68 |
Comparison of full and reduced globus pallidus models (Hendrickson 2010) |
| 69 |
Composite spiking network/neural field model of Parkinsons (Kerr et al 2013) |
| 70 |
Comprehensive models of human cortical pyramidal neurons (Eyal et al 2018) |
| 71 |
Computational analysis of NN activity and spatial reach of sharp wave-ripples (Canakci et al 2017) |
| 72 |
Computer simulations of neuron-glia interactions mediated by ion flux (Somjen et al. 2008) |
| 73 |
Conditions of dominant effectiveness of distal dendrites (Korogod, Kulagina 1998) |
| 74 |
Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016) |
| 75 |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015) |
| 76 |
Cortical network model of posttraumatic epileptogenesis (Bush et al 1999) |
| 77 |
Current Dipole in Laminar Neocortex (Lee et al. 2013) |
| 78 |
Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018) |
| 79 |
Decorrelation in the developing visual thalamus (Tikidji-Hamburyan et al, accepted) |
| 80 |
Dendrites enable a robust mechanism for neuronal stimulus selectivity (Caze et al 2017) |
