ModelDB: Models that contain the Model Type : Connectionist Network

Models that contain the Model Type : Connectionist Network

(Connectionist models typically describe the interaction of brain regions with simpler nodes than so-called realistic network models whose neuron`s voltages are comparable to electrophysiology recordings.)

Models
A Neural mass computational model of the Thalamocorticothalamic circuitry (Bhattacharya et al. 2011)
A dynamical model of the basal ganglia (Leblois et al 2006)
A neural model of Parkinson`s disease (Cutsuridis and Perantonis 2006, Cutsuridis 2006, 2007)
A reinforcement learning example (Sutton and Barto 1998)
A theory of ongoing activity in V1 (Goldberg et al 2004)
Alternative time representation in dopamine models (Rivest et al. 2009)
An oscillatory neural model of multiple object tracking (Kazanovich and Borisyuk 2006)
Basal ganglia-thalamocortical loop model of action selection (Humphries and Gurney 2002)
Biologically-plausible models for spatial navigation (Cannon et al 2003)
Cat auditory nerve model (Zilany and Bruce 2006, 2007)
Cochlear implant models (Bruce et al. 1999a, b, c, 2000)
Cortex learning models (Weber at al. 2006, Weber and Triesch, 2006, Weber and Wermter 2006/7)
Fast population coding (Huys et al. 2007)
Hippocampal context-dependent retrieval (Hasselmo and Eichenbaum 2005)
Human Attentional Networks: A Connectionist Model (Wang and Fan 2007)
Irregular oscillations produced by cyclic recurrent inhibition (Friesen, Friesen 1994)
Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)
Neural model of two-interval discrimination (Machens et al 2005)
Neuronal population models of intracerebral EEG (Wendling et al. 2005)
Odor supported place cell model and goal navigation in rodents (Kulvicius et al. 2008)
Oscillation and coding in a proposed NN model of insect olfaction (Horcholle-Bossavit et al. 2007)
Phase oscillator models for lamprey central pattern generators (Varkonyi et al. 2008)
Prefrontal cortical mechanisms for goal-directed behavior (Hasselmo 2005)
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
Scaling self-organizing maps to model large cortical networks (Bednar et al 2004)
Simulation studies on mechanisms of levetiracetam-mediated inhibition of IK(DR) (Huang et al. 2009)
Sparsely connected networks of spiking neurons (Brunel 2000)
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)

Re-display model names with descriptions

ModelDB Home SenseLab Home Help
Questions, comments, problems? Email the ModelDB Administrator
How to cite ModelDB
This site is Copyright 2012 Shepherd Lab, Yale University