Circuits that contain the Modeling Application : MATLAB (Home Page)

(MATLAB integrates mathematical computing, visualization, and a powerful language to provide a flexible environment for technical computing. The open architecture makes it easy to use MATLAB and its companion products to explore data, create algorithms, and create custom tools that provide early insights and competitive advantages. )
Re-display model names with descriptions
1. A basal ganglia model of aberrant learning (Ursino et al. 2018)
2. A computational model of action selection in the basal ganglia (Suryanarayana et al 2019)
3. A detailed data-driven network model of prefrontal cortex (Hass et al 2016)
4. A microcircuit model of the frontal eye fields (Heinzle et al. 2007)
5. A Neural mass computational model of the Thalamocorticothalamic circuitry (Bhattacharya et al. 2011)
6. A neural model of Parkinson`s disease (Cutsuridis and Perantonis 2006, Cutsuridis 2006, 2007)
7. A simulation method for the firing sequences of motor units (Jiang et al 2006)
8. A spiking model of cortical broadcast and competition (Shanahan 2008)
9. A two-layer biophysical olfactory bulb model of cholinergic neuromodulation (Li and Cleland 2013)
10. Acetylcholine-modulated plasticity in reward-driven navigation (Zannone et al 2018)
11. ACh modulation in olfactory bulb and piriform cortex (de Almeida et al. 2013;Devore S, et al. 2014)
12. Basal ganglia-thalamic network model for deep brain stimulation (So et al. 2011)
13. Basal ganglia-thalamocortical loop model of action selection (Humphries and Gurney 2002)
14. Bursting and oscillations in RD1 Retina driven by AII Amacrine Neuron (Choi et al. 2014)
15. CA1 pyramidal cells, basket cells, ripples (Malerba et al 2016)
16. Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
17. Competing oscillator 5-cell circuit and Parameterscape plotting (Gutierrez et al. 2013)
18. Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
19. Convergence regulates synchronization-dependent AP transfer in feedforward NNs (Sailamul et al 2017)
20. Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016)
21. Deep belief network learns context dependent behavior (Raudies, Zilli, Hasselmo 2014)
22. Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013)
23. Distributed representation of perceptual categories in the auditory cortex (Kim and Bao 2008)
24. Distributed synaptic plasticity and spike timing (Garrido et al. 2013)
25. ELL pyramidal neuron (Simmonds and Chacron 2014)
26. Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
27. Epileptic seizure model with Morris-Lecar neurons (Beverlin and Netoff 2011)
28. Failure of Deep Brain Stimulation in a basal ganglia neuronal network model (Dovzhenok et al. 2013)
29. Fast population coding (Huys et al. 2007)
30. Fisher and Shannon information in finite neural populations (Yarrow et al. 2012)
31. FRAT: An amygdala-centered model of fear conditioning (Krasne et al. 2011)
32. Gap junction coupled network of striatal fast spiking interneurons (Hjorth et al. 2009)
33. Grid cell oscillatory interference with noisy network oscillators (Zilli and Hasselmo 2010)
34. Grid cell spatial firing models (Zilli 2012)
35. Grid cells from place cells (Castro & Aguiar, 2014)
36. Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018)
37. Hippocampal CA3 network and circadian regulation (Stanley et al. 2013)
38. Hippocampal spiking model for context dependent behavior (Raudies & Hasselmo 2014)
39. Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2018)
40. Hybrid oscillatory interference / continuous attractor NN of grid cell firing (Bush & Burgess 2014)
41. Hyperconnectivity, slow synapses in PFC mental retardation and autism model (Testa-Silva et al 2011)
42. I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
43. Input strength and time-varying oscillation peak frequency (Cohen MX 2014)
44. Investigation of different targets in deep brain stimulation for Parkinson`s (Pirini et al. 2009)
45. Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006)
46. Laminar analysis of excitatory circuits in vibrissal motor and sensory cortex (Hooks et al. 2011)
47. Laminar connectivity matrix simulation (Weiler et al 2008)
48. Lateral dendrodenditic inhibition in the Olfactory Bulb (David et al. 2008)
49. LGNcircuit: Minimal LGN network model of temporal processing of visual input (Norheim et al. 2012)
50. Linking STDP and Dopamine action to solve the distal reward problem (Izhikevich 2007)
51. Maximum entropy model to predict spatiotemporal spike patterns (Marre et al. 2009)
52. Mean Field Equations for Two-Dimensional Integrate and Fire Models (Nicola and Campbell, 2013)
53. Medial reticular formation of the brainstem: anatomy and dynamics (Humphries et al. 2006, 2007)
54. Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
55. Model of long range transmission of gamma oscillation (Murray 2007)
56. Model of working memory based on negative derivative feedback (Lim and Goldman, 2013)
57. Modeling hebbian and homeostatic plasticity (Toyoizumi et al. 2014)
58. Modelling enteric neuron populations and muscle fed-state motor patterns (Chambers et al. 2011)
59. Modelling gain modulation in stability-optimised circuits (Stroud et al 2018)
60. Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017)
61. Models of Vector Navigation with Grid Cells (Bush et al., 2015)
62. Multisensory integration in the superior colliculus: a neural network model (Ursino et al. 2009)
63. Neocort. pyramidal cells subthreshold somatic voltage controls spike propagation (Munro Kopell 2012)
64. Network models of frequency modulated sweep detection (Skorheim et al. 2014)
65. Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014)
66. Neural model of frog ventilatory rhythmogenesis (Horcholle-Bossavit and Quenet 2009)
67. Neural transformations on spike timing information (Tripp and Eliasmith 2007)
68. Neurogenesis in the olfactory bulb controlled by top-down input (Adams et al 2018)
69. Norns - Neural Network Studio (Visser & Van Gils 2014)
70. Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009)
71. Odor supported place cell model and goal navigation in rodents (Kulvicius et al. 2008)
72. Olfactory bulb juxtaglomerular models (Carey et al., 2015)
73. Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
74. Olfactory bulb network: neurogenetic restructuring and odor decorrelation (Chow et al. 2012)
75. Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018)
76. Oscillating neurons in the cochlear nucleus (Bahmer Langner 2006a, b, and 2007)
77. Oscillation and coding in a proposed NN model of insect olfaction (Horcholle-Bossavit et al. 2007)
78. Oscillations emerging from noise-driven NNs (Tchumatchenko & Clopath 2014)
79. Parallel cortical inhibition processing enables context-dependent behavior (Kuchibhotla et al. 2016)
80. Phase oscillator models for lamprey central pattern generators (Varkonyi et al. 2008)
81. Phase precession through acceleration of local theta rhythm (Castro & Aguiar 2011)
82. Population-level model of the basal ganglia and action selection (Gurney et al 2001, 2004)
83. Reconstrucing sleep dynamics with data assimilation (Sedigh-Sarvestani et al., 2012)
84. Reichardt Model for Motion Detection in the Fly Visual System (Tuthill et al, 2011)
85. Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
86. Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008)
87. Single E-I oscillating network with amplitude modulation (Avella Gonzalez et al. 2012)
88. Slow wave propagation in the guinea-pig gastric antrum (Hirst et al. 2006, Edwards and Hirst 2006)
89. Sparse connectivity is required for decorrelation, pattern separation (Cayco-Gajic et al 2017)
90. Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
91. Spiking neuron model of the basal ganglia (Humphries et al 2006)
92. Spinal circuits controlling limb coordination and gaits in quadrupeds (Danner et al 2017)
93. State dependent drug binding to sodium channels in the dentate gyrus (Thomas & Petrou 2013)
94. Statistics of symmetry measure for networks of neurons (Esposito et al. 2014)
95. STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
96. Striatal dopamine ramping: an explanation by reinforcement learning with decay (Morita & Kato, 2014)
97. Striatal GABAergic microcircuit, dopamine-modulated cell assemblies (Humphries et al. 2009)
98. Striatal GABAergic microcircuit, spatial scales of dynamics (Humphries et al, 2010)
99. Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
100. Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)
101. Surround Suppression in V1 via Withdraw of Balanced Local Excitation in V1 (Shushruth 2012)
102. Synaptic plasticity can produce and enhance direction selectivity (Carver et al, 2008)
103. Thalamic transformation of pallidal input (Hadipour-Niktarash 2006)
104. The activity phase of postsynaptic neurons (Bose et al 2004)
105. Understanding odor information segregation in the olfactory bulb by MC/TCs (Polese et al. 2014)
106. Vestibulo-Ocular Reflex model in Matlab (Clopath at al. 2014)
107. Working memory circuit with branched dendrites (Morita 2008)

Re-display model names with descriptions