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.)
Re-display model names with descriptions
1.  A basal ganglia model of aberrant learning (Ursino et al. 2018)
2.  A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
3.  A dynamical model of the basal ganglia (Leblois et al 2006)
4.  A Neural mass computational model of the Thalamocorticothalamic circuitry (Bhattacharya et al. 2011)
5.  A neural model of Parkinson`s disease (Cutsuridis and Perantonis 2006, Cutsuridis 2006, 2007)
6.  A reinforcement learning example (Sutton and Barto 1998)
7.  A spatial model of the intermediate superior colliculus (Moren et. al. 2013)
8.  A theory of ongoing activity in V1 (Goldberg et al 2004)
9.  Alleviating catastrophic forgetting: context gating and synaptic stabilization (Masse et al 2018)
10.  Alternative time representation in dopamine models (Rivest et al. 2009)
11.  An oscillatory neural autoencoder based on frequency modulation and multiplexing (Soman et al 2018)
12.  An oscillatory neural model of multiple object tracking (Kazanovich and Borisyuk 2006)
13.  Basal ganglia-thalamocortical loop model of action selection (Humphries and Gurney 2002)
14.  Biologically-plausible models for spatial navigation (Cannon et al 2003)
15.  Cat auditory nerve model (Zilany and Bruce 2006, 2007)
16.  Cerebellar memory consolidation model (Yamazaki et al. 2015)
17.  Cochlear implant models (Bruce et al. 1999a, b, c, 2000)
18.  Cognitive and motor cortico-basal ganglia interactions during decision making (Guthrie et al 2013)
19.  Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012)
20.  Continuous lateral oscillations as a mechanism for taxis in Drosophila larvae (Wystrach et al 2016)
21.  Cortex learning models (Weber at al. 2006, Weber and Triesch, 2006, Weber and Wermter 2006/7)
22.  CRH modulates excitatory transmission and network physiology in hippocampus (Gunn et al. 2017)
23.  Deep belief network learns context dependent behavior (Raudies, Zilli, Hasselmo 2014)
24.  Fast population coding (Huys et al. 2007)
25.  Fisher and Shannon information in finite neural populations (Yarrow et al. 2012)
26.  Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018)
27.  Hippocampal context-dependent retrieval (Hasselmo and Eichenbaum 2005)
28.  Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2018)
29.  Human Attentional Networks: A Connectionist Model (Wang and Fan 2007)
30.  Input strength and time-varying oscillation peak frequency (Cohen MX 2014)
31.  Irregular oscillations produced by cyclic recurrent inhibition (Friesen, Friesen 1994)
32.  L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013)
33.  MDD: the role of glutamate dysfunction on Cingulo-Frontal NN dynamics (Ramirez-Mahaluf et al 2017)
34.  Mechanisms for stable, robust, and adaptive development of orientation maps (Stevens et al. 2013)
35.  Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
36.  Modeling brain dynamics in brain tumor patients using the Virtual Brain (Aerts et al 2018)
37.  Modeling local field potentials (Bedard et al. 2004)
38.  Modelling gain modulation in stability-optimised circuits (Stroud et al 2018)
39.  Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)
40.  Multiscale modeling of epileptic seizures (Naze et al. 2015)
41.  Neural model of two-interval discrimination (Machens et al 2005)
42.  Neuronal population models of intracerebral EEG (Wendling et al. 2005)
43.  NN for proto-object based contour integration and figure-ground segregation (Hu & Niebur 2017)
44.  Odor supported place cell model and goal navigation in rodents (Kulvicius et al. 2008)
45.  Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018)
46.  Oscillation and coding in a proposed NN model of insect olfaction (Horcholle-Bossavit et al. 2007)
47.  Parallel cortical inhibition processing enables context-dependent behavior (Kuchibhotla et al. 2016)
48.  Phase oscillator models for lamprey central pattern generators (Varkonyi et al. 2008)
49.  Place and grid cells in a loop (Rennó-Costa & Tort 2017)
50.  Prefrontal cortical mechanisms for goal-directed behavior (Hasselmo 2005)
51.  Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
52.  Scaling self-organizing maps to model large cortical networks (Bednar et al 2004)
53.  SHOT-CA3, RO-CA1 Training, & Simulation CODE in models of hippocampal replay (Nicola & Clopath 2019)
54.  Simulation studies on mechanisms of levetiracetam-mediated inhibition of IK(DR) (Huang et al. 2009)
55.  Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
56.  Sparsely connected networks of spiking neurons (Brunel 2000)
57.  Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
58.  Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)
59.  Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)
60.  Time-warp-invariant neuronal processing (Gutig & Sompolinsky 2009)
61.  Towards a biologically plausible model of LGN-V1 pathways (Lian et al 2019)
62.  Unsupervised learning of an efficient short-term memory network (Vertechi, Brendel & Machens 2014)

Re-display model names with descriptions