| | Models |
| 1. |
2D model of olfactory bulb gamma oscillations (Li and Cleland 2017)
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| 2. |
3D model of the olfactory bulb (Migliore et al. 2014)
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| 3. |
3D olfactory bulb: operators (Migliore et al, 2015)
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| 4. |
A dendritic disinhibitory circuit mechanism for pathway-specific gating (Yang et al. 2016)
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| 5. |
A large-scale model of the functioning brain (spaun) (Eliasmith et al. 2012)
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| 6. |
A microcircuit model of the frontal eye fields (Heinzle et al. 2007)
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| 7. |
A model of antennal lobe of bee (Chen JY et al. 2015)
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| 8. |
A model of ASIC1a and synaptic cleft pH modulating wind-up in wide dynamic range neurons (Delrocq)
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| 9. |
A network model of the vertebrate retina (Publio et al. 2009)
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| 10. |
A network of AOB mitral cells that produces infra-slow bursting (Zylbertal et al. 2017)
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| 11. |
A spiking NN for amplification of feature-selectivity with specific connectivity (Sadeh et al 2015)
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| 12. |
A theory of ongoing activity in V1 (Goldberg et al 2004)
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| 13. |
A two-layer biophysical olfactory bulb model of cholinergic neuromodulation (Li and Cleland 2013)
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| 14. |
ACh modulation in olfactory bulb and piriform cortex (de Almeida et al. 2013;Devore S, et al. 2014)
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| 15. |
Biophysically Realistic Network Model of the Wild-Type and Degenerate Retina (Ly et al 2022)
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| 16. |
Biophysically realistic neural modeling of the MEG mu rhythm (Jones et al. 2009)
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| 17. |
Burst induced synaptic plasticity in Apysia sensorimotor neurons (Phares et al 2003)
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| 18. |
Cerebellar gain and timing control model (Yamazaki & Tanaka 2007)(Yamazaki & Nagao 2012)
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| 19. |
Cerebellar Model for the Optokinetic Response (Kim and Lim 2021)
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| 20. |
Cochlear implant models (Bruce et al. 1999a, b, c, 2000)
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| 21. |
Competition model of pheromone ratio detection (Zavada et al. 2011)
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| 22. |
Computing with neural synchrony (Brette 2012)
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| 23. |
Conductance-based model of Layer-4 in the barrel cortex (Argaman et Golomb 2017)
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| 24. |
COREM: configurable retina simulator (Martínez-Cañada et al., 2016)
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| 25. |
Cortex learning models (Weber at al. 2006, Weber and Triesch, 2006, Weber and Wermter 2006/7)
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| 26. |
Cortical feedback alters visual response properties of dLGN relay cells (Martínez-Cañada et al 2018)
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| 27. |
Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
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| 28. |
Current Dipole in Laminar Neocortex (Lee et al. 2013)
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| 29. |
Default mode network model (Matsui et al 2014)
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| 30. |
Development and Binocular Matching of Orientation Selectivity in Visual Cortex (Xu et al 2020)
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| 31. |
Development of orientation-selective simple cell receptive fields (Rishikesh and Venkatesh, 2003)
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| 32. |
Distal inhibitory control of sensory-evoked excitation (Egger, Schmitt et al. 2015)
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| 33. |
Distributed representation of perceptual categories in the auditory cortex (Kim and Bao 2008)
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| 34. |
Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012)
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| 35. |
Effect of polysynaptic facilitaiton between piriform-hippocampal network stages (Trieu et al 2015)
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| 36. |
Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
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| 37. |
Engaging distinct oscillatory neocortical circuits (Vierling-Claassen et al. 2010)
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| 38. |
Event-related simulation of neural processing in complex visual scenes (Mihalas et al. 2011)
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| 39. |
First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018)
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| 40. |
Formation of synfire chains (Jun and Jin 2007)
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| 41. |
Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
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| 42. |
Gamma-beta alternation in the olfactory bulb (David, Fourcaud-Trocmé et al., 2015)
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| 43. |
Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009)
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| 44. |
Hebbian STDP for modelling the emergence of disparity selectivity (Chauhan et al 2018)
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| 45. |
Homosynaptic plasticity in the tail withdrawal circuit (TWC) of Aplysia (Baxter and Byrne 2006)
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| 46. |
Hopfield and Brody model (Hopfield, Brody 2000)
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| 47. |
Interaural time difference detection by slowly integrating neurons (Vasilkov Tikidji-Hamburyan 2012)
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| 48. |
L4 cortical barrel NN model receiving thalamic input during whisking or touch (Gutnisky et al. 2017)
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| 49. |
Laminar analysis of excitatory circuits in vibrissal motor and sensory cortex (Hooks et al. 2011)
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| 50. |
Large scale model of the olfactory bulb (Yu et al., 2013)
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| 51. |
Late emergence of the whisker direction selectivity map in rat barrel cortex (Kremer et al. 2011)
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| 52. |
Lateral dendrodenditic inhibition in the Olfactory Bulb (David et al. 2008)
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| 53. |
LGNcircuit: Minimal LGN network model of temporal processing of visual input (Norheim et al. 2012)
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| 54. |
Locust olfactory network with GGN and full KC population in the mushroom body (Ray et al 2020)
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| 55. |
Mechanisms for stable, robust, and adaptive development of orientation maps (Stevens et al. 2013)
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| 56. |
Medial reticular formation of the brainstem: anatomy and dynamics (Humphries et al. 2006, 2007)
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| 57. |
MEG of Somatosensory Neocortex (Jones et al. 2007)
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| 58. |
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018)
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| 59. |
Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN)
|
| 60. |
Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
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| 61. |
Mitral cell activity gating by respiration and inhibition in an olfactory bulb NN (Short et al 2016)
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| 62. |
Motion Clouds: Synthesis of random textures for motion perception (Leon et al. 2012)
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| 63. |
Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017)
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| 64. |
Multiplication by NMDA receptors in Direction Selective Ganglion cells (Poleg-Polsky & Diamond 2016)
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| 65. |
Multisensory integration in the superior colliculus: a neural network model (Ursino et al. 2009)
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| 66. |
Muscle spindle feedback circuit (Moraud et al, 2016)
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| 67. |
Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
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| 68. |
Network models of frequency modulated sweep detection (Skorheim et al. 2014)
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| 69. |
Neurogenesis in the olfactory bulb controlled by top-down input (Adams et al 2018)
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| 70. |
NN for proto-object based contour integration and figure-ground segregation (Hu & Niebur 2017)
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| 71. |
Nonlinear dendritic processing in barrel cortex spiny stellate neurons (Lavzin et al. 2012)
|
| 72. |
Odor supported place cell model and goal navigation in rodents (Kulvicius et al. 2008)
|
| 73. |
Olfactory bulb cluster formation (Migliore et al. 2010)
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| 74. |
Olfactory bulb juxtaglomerular models (Carey et al., 2015)
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| 75. |
Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015)
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| 76. |
Olfactory bulb mitral and granule cell column formation (Migliore et al. 2007)
|
| 77. |
Olfactory bulb mitral and granule cell: dendrodendritic microcircuits (Migliore and Shepherd 2008)
|
| 78. |
Olfactory bulb mitral cell gap junction NN model: burst firing and synchrony (O`Connor et al. 2012)
|
| 79. |
Olfactory bulb mitral cell: synchronization by gap junctions (Migliore et al 2005)
|
| 80. |
Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
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| 81. |
Olfactory Bulb Network (Davison et al 2003)
|
| 82. |
Olfactory bulb network model of gamma oscillations (Bathellier et al. 2006; Lagier et al. 2007)
|
| 83. |
Olfactory bulb network: neurogenetic restructuring and odor decorrelation (Chow et al. 2012)
|
| 84. |
Olfactory Computations in Mitral-Granule cell circuits (Migliore & McTavish 2013)
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| 85. |
Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
|
| 86. |
Oscillating neurons in the cochlear nucleus (Bahmer Langner 2006a, b, and 2007)
|
| 87. |
Oscillation and coding in a proposed NN model of insect olfaction (Horcholle-Bossavit et al. 2007)
|
| 88. |
Parallel cortical inhibition processing enables context-dependent behavior (Kuchibhotla et al. 2016)
|
| 89. |
Parallel odor processing by mitral and middle tufted cells in the OB (Cavarretta et al 2016, 2018)
|
| 90. |
Reichardt Model for Motion Detection in the Fly Visual System (Tuthill et al, 2011)
|
| 91. |
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
|
| 92. |
Scaling self-organizing maps to model large cortical networks (Bednar et al 2004)
|
| 93. |
Self-organized olfactory pattern recognition (Kaplan & Lansner 2014)
|
| 94. |
Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
|
| 95. |
Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020)
|
| 96. |
Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014)
|
| 97. |
Simulations of oscillations in piriform cortex (Wilson & Bower 1992)
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| 98. |
Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
|
| 99. |
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019)
|
| 100. |
Spinal Dorsal Horn Network Model (Medlock et al 2022)
|
| 101. |
Spontaneous weakly correlated excitation and inhibition (Tan et al. 2013)
|
| 102. |
Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
|
| 103. |
Surround Suppression in V1 via Withdraw of Balanced Local Excitation in V1 (Shushruth 2012)
|
| 104. |
Synchrony by synapse location (McTavish et al. 2012)
|
| 105. |
Systematic integration of data into multi-scale models of mouse primary V1 (Billeh et al 2020)
|
| 106. |
Turtle visual cortex model (Nenadic et al. 2003, Wang et al. 2005, Wang et al. 2006)
|
| 107. |
Understanding odor information segregation in the olfactory bulb by MC/TCs (Polese et al. 2014)
|
| 108. |
V1 and AL spiking neural network for visual contrast response in mouse (Meijer et al. 2020)
|
| 109. |
Vibration-sensitive Honeybee interneurons (Ai et al 2017)
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