| | Models |
| 1. |
A dynamical model of the basal ganglia (Leblois et al 2006)
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| 2. |
A model of the temporal pattern generator of C. elegans egg-laying behavior (Zhang et. al 2010)
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| 3. |
A simulation method for the firing sequences of motor units (Jiang et al 2006)
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| 4. |
A single column thalamocortical network model (Traub et al 2005)
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| 5. |
A spiking model of cortical broadcast and competition (Shanahan 2008)
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| 6. |
An oscillatory neural model of multiple object tracking (Kazanovich and Borisyuk 2006)
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| 7. |
Biologically-plausible models for spatial navigation (Cannon et al 2003)
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| 8. |
Cat auditory nerve model (Zilany and Bruce 2006, 2007)
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| 9. |
Cerebellar memory consolidation model (Yamazaki et al. 2015)
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| 10. |
Changes of ionic concentrations during seizure transitions (Gentiletti et al. 2016)
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| 11. |
Cochlear implant models (Bruce et al. 1999a, b, c, 2000)
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| 12. |
Coding of stimulus frequency by latency in thalamic networks (Golomb et al 2005)
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| 13. |
Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
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| 14. |
Competing oscillator 5-cell circuit and Parameterscape plotting (Gutierrez et al. 2013)
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| 15. |
Competition model of pheromone ratio detection (Zavada et al. 2011)
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| 16. |
Computational aspects of feedback in neural circuits (Maass et al 2006)
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| 17. |
Computing with neural synchrony (Brette 2012)
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| 18. |
Disrupted information processing in Fmr1-KO mouse layer 4 barrel cortex (Domanski et al 2019)
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| 19. |
Duration-tuned neurons from the inferior colliculus of the big brown bat (Aubie et al. 2009)
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| 20. |
Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
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| 21. |
Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
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| 22. |
Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
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| 23. |
Fast oscillations in inhibitory networks (Maex, De Schutter 2003)
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| 24. |
Feedforward heteroassociative network with HH dynamics (Lytton 1998)
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| 25. |
Fixed point attractor (Hasselmo et al 1995)
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| 26. |
Functional consequences of cortical circuit abnormalities on gamma in schizophrenia (Spencer 2009)
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| 27. |
Gap-junction coupled network activity depends on coupled dendrites diameter (Gansert et al. 2007)
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| 28. |
Grid cell oscillatory interference with noisy network oscillators (Zilli and Hasselmo 2010)
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| 29. |
High dimensional dynamics and low dimensional readouts in neural microcircuits (Haeusler et al 2006)
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| 30. |
Hippocampal context-dependent retrieval (Hasselmo and Eichenbaum 2005)
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| 31. |
Hippocampus temporo-septal engram shift model (Lytton 1999)
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| 32. |
Homeostatic mechanisms may shape oscillatory modulations (Peterson & Voytek 2020)
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| 33. |
Information-processing in lamina-specific cortical microcircuits (Haeusler and Maass 2006)
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| 34. |
Inhibitory control by an integral feedback signal in prefrontal cortex (Miller and Wang 2006)
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| 35. |
Irregular oscillations produced by cyclic recurrent inhibition (Friesen, Friesen 1994)
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| 36. |
Large cortex model with map-based neurons (Rulkov et al 2004)
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| 37. |
Lateral dendrodenditic inhibition in the Olfactory Bulb (David et al. 2008)
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| 38. |
Loss of phase-locking in non-weakly coupled inhib. networks of type-I neurons (Oh and Matveev 2009)
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| 39. |
Model of long range transmission of gamma oscillation (Murray 2007)
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| 40. |
Modular grid cell responses as a basis for hippocampal remapping (Monaco and Abbott 2011)
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| 41. |
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
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| 42. |
Multistability of clustered states in a globally inhibitory network (Chandrasekaran et al. 2009)
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| 43. |
Network model of the granular layer of the cerebellar cortex (Maex, De Schutter 1998)
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| 44. |
Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014)
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| 45. |
Norns - Neural Network Studio (Visser & Van Gils 2014)
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| 46. |
Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009)
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| 47. |
Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
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| 48. |
Parallelizing large networks in NEURON (Lytton et al. 2016)
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| 49. |
Polychronization: Computation With Spikes (Izhikevich 2005)
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| 50. |
Population models of temporal differentiation (Tripp and Eliasmith 2010)
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| 51. |
Potjans-Diesmann cortical microcircuit model in NetPyNE (Romaro et al 2021)
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| 52. |
Prefrontal cortical mechanisms for goal-directed behavior (Hasselmo 2005)
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| 53. |
Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011)
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| 54. |
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
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| 55. |
Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
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| 56. |
Sensory feedback in an oscillatory interference model of place cell activity (Monaco et al. 2011)
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| 57. |
Single neuron properties shape chaos and signal transmission in random NNs (Muscinelli et al 2019)
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| 58. |
Sparsely connected networks of spiking neurons (Brunel 2000)
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| 59. |
STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
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| 60. |
Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
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| 61. |
Systematic integration of data into multi-scale models of mouse primary V1 (Billeh et al 2020)
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| 62. |
The activity phase of postsynaptic neurons (Bose et al 2004)
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| 63. |
Theory of sequence memory in neocortex (Hawkins & Ahmad 2016)
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| 64. |
Translating network models to parallel hardware in NEURON (Hines and Carnevale 2008)
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| 65. |
Vertical System (VS) tangential cells network model (Trousdale et al. 2014)
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| 66. |
Virtual Retina: biological retina simulator, with contrast gain control (Wohrer and Kornprobst 2009)
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| 67. |
Visual physiology of the layer 4 cortical circuit in silico (Arkhipov et al 2018)
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