Circuits that contain the Model Concept : Simplified Models

(We define these to be ones where the 3D reconstruction of cells is replaced by one or a few compartments and/or biophysical currents are replaced by abstract ones.)
Re-display model names with descriptions
1. A dynamical model of the basal ganglia (Leblois et al 2006)
2. A model of the temporal pattern generator of C. elegans egg-laying behavior (Zhang et. al 2010)
3. A simulation method for the firing sequences of motor units (Jiang et al 2006)
4. A single column thalamocortical network model (Traub et al 2005)
5. A spiking model of cortical broadcast and competition (Shanahan 2008)
6. An oscillatory neural model of multiple object tracking (Kazanovich and Borisyuk 2006)
7. Biologically-plausible models for spatial navigation (Cannon et al 2003)
8. Cat auditory nerve model (Zilany and Bruce 2006, 2007)
9. Cerebellar memory consolidation model (Yamazaki et al. 2015)
10. Changes of ionic concentrations during seizure transitions (Gentiletti et al. 2016)
11. Cochlear implant models (Bruce et al. 1999a, b, c, 2000)
12. Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005)
13. Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
14. Competing oscillator 5-cell circuit and Parameterscape plotting (Gutierrez et al. 2013)
15. Competition model of pheromone ratio detection (Zavada et al. 2011)
16. Computational aspects of feedback in neural circuits (Maass et al 2006)
17. Computing with neural synchrony (Brette 2012)
18. Disrupted information processing in Fmr1-KO mouse layer 4 barrel cortex (Domanski et al 2019)
19. Duration-tuned neurons from the inferior colliculus of the big brown bat (Aubie et al. 2009)
20. Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
21. Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
22. Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
23. Fast oscillations in inhibitory networks (Maex, De Schutter 2003)
24. Feedforward heteroassociative network with HH dynamics (Lytton 1998)
25. Fixed point attractor (Hasselmo et al 1995)
26. Functional consequences of cortical circuit abnormalities on gamma in schizophrenia (Spencer 2009)
27. Gap-junction coupled network activity depends on coupled dendrites diameter (Gansert et al. 2007)
28. Grid cell oscillatory interference with noisy network oscillators (Zilli and Hasselmo 2010)
29. High dimensional dynamics and low dimensional readouts in neural microcircuits (Haeusler et al 2006)
30. Hippocampal context-dependent retrieval (Hasselmo and Eichenbaum 2005)
31. Hippocampus temporo-septal engram shift model (Lytton 1999)
32. Homeostatic mechanisms may shape oscillatory modulations (Peterson & Voytek 2020)
33. Information-processing in lamina-specific cortical microcircuits (Haeusler and Maass 2006)
34. Inhibitory control by an integral feedback signal in prefrontal cortex (Miller and Wang 2006)
35. Irregular oscillations produced by cyclic recurrent inhibition (Friesen, Friesen 1994)
36. Large cortex model with map-based neurons (Rulkov et al 2004)
37. Lateral dendrodenditic inhibition in the Olfactory Bulb (David et al. 2008)
38. Loss of phase-locking in non-weakly coupled inhib. networks of type-I neurons (Oh and Matveev 2009)
39. Model of long range transmission of gamma oscillation (Murray 2007)
40. Modular grid cell responses as a basis for hippocampal remapping (Monaco and Abbott 2011)
41. Multistability of clustered states in a globally inhibitory network (Chandrasekaran et al. 2009)
42. Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998)
43. Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014)
44. Norns - Neural Network Studio (Visser & Van Gils 2014)
45. Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009)
46. Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
47. Parallelizing large networks in NEURON (Lytton et al. 2016)
48. Polychronization: Computation With Spikes (Izhikevich 2005)
49. Population models of temporal differentiation (Tripp and Eliasmith 2010)
50. Prefrontal cortical mechanisms for goal-directed behavior (Hasselmo 2005)
51. Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011)
52. Reinforcement learning of targeted movement (Chadderdon et al. 2012)
53. Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
54. Sensory feedback in an oscillatory interference model of place cell activity (Monaco et al. 2011)
55. Single neuron properties shape chaos and signal transmission in random NNs (Muscinelli et al 2019)
56. Sparsely connected networks of spiking neurons (Brunel 2000)
57. STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
58. Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
59. Systematic integration of data into multi-scale models of mouse primary V1 (Billeh et al 2020)
60. The activity phase of postsynaptic neurons (Bose et al 2004)
61. Theory of sequence memory in neocortex (Hawkins & Ahmad 2016)
62. Translating network models to parallel hardware in NEURON (Hines and Carnevale 2008)
63. Vertical System (VS) tangential cells network model (Trousdale et al. 2014)
64. Virtual Retina: biological retina simulator, with contrast gain control (Wohrer and Kornprobst 2009)
65. Visual physiology of the layer 4 cortical circuit in silico (Arkhipov et al 2018)

Re-display model names with descriptions