Circuits that contain the Modeling Application : C or C++ program (Home Page)

(The model is written in the C or C++ language.)
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1. A detailed data-driven network model of prefrontal cortex (Hass et al 2016)
2. A dynamical model of the basal ganglia (Leblois et al 2006)
3. A model of antennal lobe of bee (Chen JY et al. 2015)
4. A Moth MGC Model-A HH network with quantitative rate reduction (Buckley & Nowotny 2011)
5. A unified thalamic model of multiple distinct oscillations (Li, Henriquez and Fröhlich 2017)
6. An oscillatory neural model of multiple object tracking (Kazanovich and Borisyuk 2006)
7. Basis for temporal filters in the cerebellar granular layer (Roessert et al. 2015)
8. Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
9. Cancelling redundant input in ELL pyramidal cells (Bol et al. 2011)
10. Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012)
11. Cerebellar memory consolidation model (Yamazaki et al. 2015)
12. Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005)
13. Competition model of pheromone ratio detection (Zavada et al. 2011)
14. Conductance-based model of Layer-4 in the barrel cortex (Argaman et Golomb 2017)
15. Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012)
16. COREM: configurable retina simulator (Martínez-Cañada et al., 2016)
17. Cortex learning models (Weber at al. 2006, Weber and Triesch, 2006, Weber and Wermter 2006/7)
18. Default mode network model (Matsui et al 2014)
19. Development of orientation-selective simple cell receptive fields (Rishikesh and Venkatesh, 2003)
20. Distributed cerebellar plasticity implements adaptable gain control (Garrido et al., 2013)
21. Duration-tuned neurons from the inferior colliculus of the big brown bat (Aubie et al. 2009)
22. Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
23. Formation of synfire chains (Jun and Jin 2007)
24. Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009)
25. Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2018)
26. Huntington`s disease model (Gambazzi et al. 2010)
27. Inhibition and glial-K+ interaction leads to diverse seizure transition modes (Ho & Truccolo 2016)
28. L4 cortical barrel NN model receiving thalamic input during whisking or touch (Gutnisky et al. 2017)
29. Large cortex model with map-based neurons (Rulkov et al 2004)
30. Linking dynamics of the inhibitory network to the input structure (Komarov & Bazhenov 2016)
31. Mechanisms of very fast oscillations in axon networks coupled by gap junctions (Munro, Borgers 2010)
32. Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
33. Model of memory linking through memory allocation (Kastellakis et al. 2016)
34. Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017)
35. NETMORPH: creates NNs with realistic neuron morphologies (Koene et al. 2009, van Ooyen et al. 2014)
36. Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
37. Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)
38. Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014)
39. Neural modeling of an internal clock (Yamazaki and Tanaka 2008)
40. NMDAR & GABAB/KIR Give Bistable Dendrites: Working Memory & Sequence Readout (Sanders et al., 2013)
41. Norns - Neural Network Studio (Visser & Van Gils 2014)
42. Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009)
43. Olfactory bulb network model of gamma oscillations (Bathellier et al. 2006; Lagier et al. 2007)
44. Optimal deep brain stimulation of the subthalamic nucleus-a computational study (Feng et al. 2007)
45. Perceptual judgments via sensory-motor interaction assisted by cortical GABA (Hoshino et al 2018)
46. Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005)
47. Perturbation sensitivity implies high noise and suggests rate coding in cortex (London et al. 2010)
48. Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011)
49. Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
50. Robust Reservoir Generation by Correlation-Based Learning (Yamazaki & Tanaka 2008)
51. Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
52. Spinal circuits controlling limb coordination and gaits in quadrupeds (Danner et al 2017)
53. STDP promotes synchrony of inhibitory networks in the presence of heterogeneity (Talathi et al 2008)
54. Stochastic and periodic inputs tune ongoing oscillations (Hutt et al. 2016)
55. Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
56. Temporal integration by stochastic recurrent network (Okamoto et al. 2007)

Re-display model names with descriptions