| 1 |
A basal ganglia model of aberrant learning (Ursino et al. 2018) |
| 2 |
A computational model of systems memory consolidation and reconsolidation (Helfer & Shultz 2019) |
| 3 |
A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016) |
| 4 |
A dynamical model of the basal ganglia (Leblois et al 2006) |
| 5 |
A Neural mass computational model of the Thalamocorticothalamic circuitry (Bhattacharya et al. 2011) |
| 6 |
A neural mass model for critical assessment of brain connectivity (Ursino et al 2020) |
| 7 |
A neural model of Parkinson`s disease (Cutsuridis and Perantonis 2006, Cutsuridis 2006, 2007) |
| 8 |
A NN with synaptic depression for testing the effects of connectivity on dynamics (Jacob et al 2019) |
| 9 |
A reinforcement learning example (Sutton and Barto 1998) |
| 10 |
A single-cell spiking model for the origin of grid-cell patterns (D'Albis & Kempter 2017) |
| 11 |
A spatial model of the intermediate superior colliculus (Moren et. al. 2013) |
| 12 |
A theory of ongoing activity in V1 (Goldberg et al 2004) |
| 13 |
Alleviating catastrophic forgetting: context gating and synaptic stabilization (Masse et al 2018) |
| 14 |
Alternative time representation in dopamine models (Rivest et al. 2009) |
| 15 |
An oscillatory neural autoencoder based on frequency modulation and multiplexing (Soman et al 2018) |
| 16 |
An oscillatory neural model of multiple object tracking (Kazanovich and Borisyuk 2006) |
| 17 |
Basal Ganglia and Levodopa Pharmacodynamics model for parameter estimation in PD (Ursino et al 2020) |
| 18 |
Basal ganglia-thalamocortical loop model of action selection (Humphries and Gurney 2002) |
| 19 |
Biologically-plausible models for spatial navigation (Cannon et al 2003) |
| 20 |
Brainstem circuits controlling locomotor frequency and gait (Ausborn et al 2019) |
| 21 |
Cat auditory nerve model (Zilany and Bruce 2006, 2007) |
| 22 |
Cerebellar memory consolidation model (Yamazaki et al. 2015) |
| 23 |
Cochlear implant models (Bruce et al. 1999a, b, c, 2000) |
| 24 |
Coding explains development of binocular vision and its failure in Amblyopia (Eckmann et al 2020) |
| 25 |
Cognitive and motor cortico-basal ganglia interactions during decision making (Guthrie et al 2013) |
| 26 |
Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012) |
| 27 |
Continuous lateral oscillations as a mechanism for taxis in Drosophila larvae (Wystrach et al 2016) |
| 28 |
Cortex learning models (Weber at al. 2006, Weber and Triesch, 2006, Weber and Wermter 2006/7) |
| 29 |
Cortico - Basal Ganglia Loop (Mulcahy et al 2020) |
| 30 |
CRH modulates excitatory transmission and network physiology in hippocampus (Gunn et al. 2017) |
| 31 |
Deep belief network learns context dependent behavior (Raudies, Zilli, Hasselmo 2014) |
| 32 |
Effect of circuit structure on odor representation in insect olfaction (Rajagopalan & Assisi 2020) |
| 33 |
Fast population coding (Huys et al. 2007) |
| 34 |
Fisher and Shannon information in finite neural populations (Yarrow et al. 2012) |
| 35 |
Generation of stable heading representations in diverse visual scenes (Kim et al 2019) |
| 36 |
Graph-theoretical Derivation of Brain Structural Connectivity (Giacopelli et al 2020) |
| 37 |
Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018) |
| 38 |
Hierarchical anti-Hebbian network model for the formation of spatial cells in 3D (Soman et al 2019) |
| 39 |
Hippocampal context-dependent retrieval (Hasselmo and Eichenbaum 2005) |
| 40 |
Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2018) |
| 41 |
Human Attentional Networks: A Connectionist Model (Wang and Fan 2007) |
| 42 |
Input strength and time-varying oscillation peak frequency (Cohen MX 2014) |
| 43 |
Interplay between somatic and dendritic inhibition promotes place fields (Pedrosa & Clopath 2020) |
| 44 |
Irregular oscillations produced by cyclic recurrent inhibition (Friesen, Friesen 1994) |
| 45 |
L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013) |
| 46 |
MDD: the role of glutamate dysfunction on Cingulo-Frontal NN dynamics (Ramirez-Mahaluf et al 2017) |
| 47 |
MEC PV-positive fast-spiking interneuron network generates theta-nested fast oscillations |
| 48 |
Mechanisms for stable, robust, and adaptive development of orientation maps (Stevens et al. 2013) |
| 49 |
Microsaccades and synchrony coding in the retina (Masquelier et al. 2016) |
| 50 |
Modeling brain dynamics in brain tumor patients using the Virtual Brain (Aerts et al 2018) |
| 51 |
Modeling local field potentials (Bedard et al. 2004) |
| 52 |
Modelling gain modulation in stability-optimised circuits (Stroud et al 2018) |
| 53 |
Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012) |
| 54 |
Motor Cortex Connectivity & Event Related Desynchronization Based on Neural Mass Models (Ursino 21) |
| 55 |
Multi-area layer-resolved spiking network model of resting-state dynamics in macaque visual cortex |
| 56 |
Multiscale modeling of epileptic seizures (Naze et al. 2015) |
| 57 |
Neural Mass Model for relationship between Brain Rhythms + Functional Connectivity (Ricci et al '21) |
| 58 |
Neural model of two-interval discrimination (Machens et al 2005) |
| 59 |
Neuronal population models of intracerebral EEG (Wendling et al. 2005) |
| 60 |
NN for proto-object based contour integration and figure-ground segregation (Hu & Niebur 2017) |
| 61 |
Odor supported place cell model and goal navigation in rodents (Kulvicius et al. 2008) |
| 62 |
Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018) |
| 63 |
Oscillation and coding in a proposed NN model of insect olfaction (Horcholle-Bossavit et al. 2007) |
| 64 |
Parallel cortical inhibition processing enables context-dependent behavior (Kuchibhotla et al. 2016) |
| 65 |
Phase oscillator models for lamprey central pattern generators (Varkonyi et al. 2008) |
| 66 |
Place and grid cells in a loop (Rennó-Costa & Tort 2017) |
| 67 |
Potjans-Diesmann cortical microcircuit model in NetPyNE (Romaro et al 2021) |
| 68 |
Prefrontal cortical mechanisms for goal-directed behavior (Hasselmo 2005) |
| 69 |
Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006) |
| 70 |
Scaffold model of mouse CA1 hippocampus. (Gandolfi et al 2022) |
| 71 |
Scaling self-organizing maps to model large cortical networks (Bednar et al 2004) |
| 72 |
SHOT-CA3, RO-CA1 Training, & Simulation CODE in models of hippocampal replay (Nicola & Clopath 2019) |
| 73 |
Simulation studies on mechanisms of levetiracetam-mediated inhibition of IK(DR) (Huang et al. 2009) |
| 74 |
Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013) |
| 75 |
Single neuron properties shape chaos and signal transmission in random NNs (Muscinelli et al 2019) |
| 76 |
Sparsely connected networks of spiking neurons (Brunel 2000) |
| 77 |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013) |
| 78 |
Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017) |
| 79 |
Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013) |
| 80 |
Time-warp-invariant neuronal processing (Gutig & Sompolinsky 2009) |
| 81 |
Towards a biologically plausible model of LGN-V1 pathways (Lian et al 2019) |
| 82 |
Unsupervised learning of an efficient short-term memory network (Vertechi, Brendel & Machens 2014) |
| 83 |
V1 and AL spiking neural network for visual contrast response in mouse (Meijer et al. 2020) |
