| | Models |
| 1. |
A basal ganglia model of aberrant learning (Ursino et al. 2018)
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| 2. |
A computational model of systems memory consolidation and reconsolidation (Helfer & Shultz 2019)
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| 3. |
A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
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| 4. |
A dynamical model of the basal ganglia (Leblois et al 2006)
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| 5. |
A Neural mass computational model of the Thalamocorticothalamic circuitry (Bhattacharya et al. 2011)
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| 6. |
A neural mass model for critical assessment of brain connectivity (Ursino et al 2020)
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| 7. |
A neural model of Parkinson`s disease (Cutsuridis and Perantonis 2006, Cutsuridis 2006, 2007)
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| 8. |
A NN with synaptic depression for testing the effects of connectivity on dynamics (Jacob et al 2019)
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| 9. |
A reinforcement learning example (Sutton and Barto 1998)
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| 10. |
A single-cell spiking model for the origin of grid-cell patterns (D'Albis & Kempter 2017)
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| 11. |
A spatial model of the intermediate superior colliculus (Moren et. al. 2013)
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| 12. |
A theory of ongoing activity in V1 (Goldberg et al 2004)
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| 13. |
Alleviating catastrophic forgetting: context gating and synaptic stabilization (Masse et al 2018)
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| 14. |
Alternative time representation in dopamine models (Rivest et al. 2009)
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| 15. |
An oscillatory neural autoencoder based on frequency modulation and multiplexing (Soman et al 2018)
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| 16. |
An oscillatory neural model of multiple object tracking (Kazanovich and Borisyuk 2006)
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| 17. |
Basal Ganglia and Levodopa Pharmacodynamics model for parameter estimation in PD (Ursino et al 2020)
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| 18. |
Basal ganglia-thalamocortical loop model of action selection (Humphries and Gurney 2002)
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| 19. |
Biologically-plausible models for spatial navigation (Cannon et al 2003)
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| 20. |
Brainstem circuits controlling locomotor frequency and gait (Ausborn et al 2019)
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| 21. |
Cat auditory nerve model (Zilany and Bruce 2006, 2007)
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| 22. |
Cerebellar memory consolidation model (Yamazaki et al. 2015)
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| 23. |
Cochlear implant models (Bruce et al. 1999a, b, c, 2000)
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| 24. |
Coding explains development of binocular vision and its failure in Amblyopia (Eckmann et al 2020)
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| 25. |
Cognitive and motor cortico-basal ganglia interactions during decision making (Guthrie et al 2013)
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| 26. |
Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012)
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| 27. |
Continuous lateral oscillations as a mechanism for taxis in Drosophila larvae (Wystrach et al 2016)
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| 28. |
Cortex learning models (Weber at al. 2006, Weber and Triesch, 2006, Weber and Wermter 2006/7)
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| 29. |
Cortico - Basal Ganglia Loop (Mulcahy et al 2020)
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| 30. |
CRH modulates excitatory transmission and network physiology in hippocampus (Gunn et al. 2017)
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| 31. |
Deep belief network learns context dependent behavior (Raudies, Zilli, Hasselmo 2014)
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| 32. |
Effect of circuit structure on odor representation in insect olfaction (Rajagopalan & Assisi 2020)
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| 33. |
Fast population coding (Huys et al. 2007)
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| 34. |
Fisher and Shannon information in finite neural populations (Yarrow et al. 2012)
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| 35. |
Generation of stable heading representations in diverse visual scenes (Kim et al 2019)
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| 36. |
Graph-theoretical Derivation of Brain Structural Connectivity (Giacopelli et al 2020)
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| 37. |
Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018)
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| 38. |
Hierarchical anti-Hebbian network model for the formation of spatial cells in 3D (Soman et al 2019)
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| 39. |
Hippocampal context-dependent retrieval (Hasselmo and Eichenbaum 2005)
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| 40. |
Hotspots of dendritic spine turnover facilitates new spines and NN sparsity (Frank et al 2018)
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| 41. |
Human Attentional Networks: A Connectionist Model (Wang and Fan 2007)
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| 42. |
Input strength and time-varying oscillation peak frequency (Cohen MX 2014)
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| 43. |
Interplay between somatic and dendritic inhibition promotes place fields (Pedrosa & Clopath 2020)
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| 44. |
Irregular oscillations produced by cyclic recurrent inhibition (Friesen, Friesen 1994)
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| 45. |
L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013)
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| 46. |
MDD: the role of glutamate dysfunction on Cingulo-Frontal NN dynamics (Ramirez-Mahaluf et al 2017)
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| 47. |
MEC PV-positive fast-spiking interneuron network generates theta-nested fast oscillations
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| 48. |
Mechanisms for stable, robust, and adaptive development of orientation maps (Stevens et al. 2013)
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| 49. |
Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
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| 50. |
Modeling brain dynamics in brain tumor patients using the Virtual Brain (Aerts et al 2018)
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| 51. |
Modeling local field potentials (Bedard et al. 2004)
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| 52. |
Modelling gain modulation in stability-optimised circuits (Stroud et al 2018)
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| 53. |
Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)
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| 54. |
Motor Cortex Connectivity & Event Related Desynchronization Based on Neural Mass Models (Ursino 21)
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| 55. |
Multi-area layer-resolved spiking network model of resting-state dynamics in macaque visual cortex
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| 56. |
Multiscale modeling of epileptic seizures (Naze et al. 2015)
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| 57. |
Neural Mass Model for relationship between Brain Rhythms + Functional Connectivity (Ricci et al '21)
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| 58. |
Neural model of two-interval discrimination (Machens et al 2005)
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| 59. |
Neuronal population models of intracerebral EEG (Wendling et al. 2005)
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| 60. |
NN for proto-object based contour integration and figure-ground segregation (Hu & Niebur 2017)
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| 61. |
Odor supported place cell model and goal navigation in rodents (Kulvicius et al. 2008)
|
| 62. |
Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018)
|
| 63. |
Oscillation and coding in a proposed NN model of insect olfaction (Horcholle-Bossavit et al. 2007)
|
| 64. |
Parallel cortical inhibition processing enables context-dependent behavior (Kuchibhotla et al. 2016)
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| 65. |
Phase oscillator models for lamprey central pattern generators (Varkonyi et al. 2008)
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| 66. |
Place and grid cells in a loop (Rennó-Costa & Tort 2017)
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| 67. |
Potjans-Diesmann cortical microcircuit model in NetPyNE (Romaro et al 2021)
|
| 68. |
Prefrontal cortical mechanisms for goal-directed behavior (Hasselmo 2005)
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| 69. |
Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006)
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| 70. |
Scaffold model of mouse CA1 hippocampus. (Gandolfi et al 2022)
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| 71. |
Scaling self-organizing maps to model large cortical networks (Bednar et al 2004)
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| 72. |
SHOT-CA3, RO-CA1 Training, & Simulation CODE in models of hippocampal replay (Nicola & Clopath 2019)
|
| 73. |
Simulation studies on mechanisms of levetiracetam-mediated inhibition of IK(DR) (Huang et al. 2009)
|
| 74. |
Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
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| 75. |
Single neuron properties shape chaos and signal transmission in random NNs (Muscinelli et al 2019)
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| 76. |
Sparsely connected networks of spiking neurons (Brunel 2000)
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| 77. |
Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013)
|
| 78. |
Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)
|
| 79. |
Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)
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| 80. |
Time-warp-invariant neuronal processing (Gutig & Sompolinsky 2009)
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| 81. |
Towards a biologically plausible model of LGN-V1 pathways (Lian et al 2019)
|
| 82. |
Unsupervised learning of an efficient short-term memory network (Vertechi, Brendel & Machens 2014)
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| 83. |
V1 and AL spiking neural network for visual contrast response in mouse (Meijer et al. 2020)
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