| | Models |
| 1. |
A basal ganglia model of aberrant learning (Ursino et al. 2018)
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| 2. |
A computational model of action selection in the basal ganglia (Suryanarayana et al 2019)
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| 3. |
A contracting model of the basal ganglia (Girard et al. 2008)
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| 4. |
A dynamical model of the basal ganglia (Leblois et al 2006)
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| 5. |
A kinetic model of dopamine- and calcium-dependent striatal synaptic plasticity (Nakano et al. 2010)
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| 6. |
A large-scale model of the functioning brain (spaun) (Eliasmith et al. 2012)
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| 7. |
Activity patterns in a subthalamopallidal network of the basal ganglia model (Terman et al 2002)
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| 8. |
Basal Ganglia and Levodopa Pharmacodynamics model for parameter estimation in PD (Ursino et al 2020)
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| 9. |
Basal ganglia motor function and the inverse kinematics calculation (Salimi-Badr et al 2017)
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| 10. |
Basal Ganglia motor-circuit for kinematic planning of arm movements (Salimi-Badr et al 2017)
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| 11. |
Basal ganglia network model of subthalamic deep brain stimulation (Hahn and McIntyre 2010)
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| 12. |
Basal ganglia-corticothalamic (BGCT) network (Chen et al., 2014)
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| 13. |
Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
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| 14. |
Biophysical basis of Subthalamic LFPs Recorded from DBS electrodes (Maling et al 2018)
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| 15. |
Cognitive and motor cortico-basal ganglia interactions during decision making (Guthrie et al 2013)
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| 16. |
Computational endophenotypes in addiction (Fiore et al 2018)
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| 17. |
Computational modeling of ultrasonic Subthalamic Nucleus stimulation (Tarnaud et al 2019)
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| 18. |
Control of oscillations and spontaneous firing in dopamine neurons (Rumbell & Kozloski 2019)
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| 19. |
Cortex-Basal Ganglia-Thalamus network model (Kumaravelu et al. 2016)
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| 20. |
Cortical Basal Ganglia Network Model during Closed-loop DBS (Fleming et al 2020)
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| 21. |
Cortical oscillations and the basal ganglia (Fountas & Shanahan 2017)
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| 22. |
Cortico - Basal Ganglia Loop (Mulcahy et al 2020)
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| 23. |
Determinants of the intracellular and extracellular waveforms in DA neurons (Lopez-Jury et al 2018)
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| 24. |
Dopaminergic subtantia nigra neuron (Moubarak et al 2019)
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| 25. |
Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005)
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| 26. |
Effects of Dopamine Modulation and KIR Inactivation in NAc Medium Spiny Neurons (Steephen 2011)
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| 27. |
Effects of KIR current inactivation in NAc Medium Spiny Neurons (Steephen and Manchanda 2009)
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| 28. |
Excessive beta oscillations in Parkinson's disease (Pavlides et al. 2015)
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| 29. |
Excitotoxic loss of dopaminergic cells in PD (Muddapu et al 2019)
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| 30. |
Failure of Deep Brain Stimulation in a basal ganglia neuronal network model (Dovzhenok et al. 2013)
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| 31. |
Gap junction coupled network of striatal fast spiking interneurons (Hjorth et al. 2009)
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| 32. |
Globus pallidus neuron models with differing dendritic Na channel expression (Edgerton et al., 2010)
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| 33. |
GP Neuron, somatic and dendritic phase response curves (Schultheiss et al. 2011)
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| 34. |
High frequency stimulation of the Subthalamic Nucleus (Rubin and Terman 2004)
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| 35. |
Information trans. through Entopeduncular nucleus modified by synaptic plasticity (Gorodetsky et al)
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| 36. |
Investigation of different targets in deep brain stimulation for Parkinson`s (Pirini et al. 2009)
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| 37. |
Levodopa-Induced Toxicity in Parkinson's Disease (Muddapu et al, 2022)
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| 38. |
LFP in striatum (Tanaka & Nakamura 2019)
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| 39. |
Library of biophysically detailed striatal projection neurons (Lindroos and Hellgren Kotaleski 2020)
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| 40. |
Logarithmic distributions prove that intrinsic learning is Hebbian (Scheler 2017)
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| 41. |
Mechanisms for pattern specificity of DBS in Parkinson's disease (Velarde et al 2017)
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| 42. |
Model for K-ATP mediated bursting in mSNc DA neurons (Knowlton et al 2018)
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| 43. |
Morphological determinants of action potential dynamics in substantia nigra (Moubarak et al 2022)
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| 44. |
Multiscale model of excitotoxicity in PD (Muddapu and Chakravarthy 2020)
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| 45. |
NAcc medium spiny neuron: effects of cannabinoid withdrawal (Spiga et al. 2010)
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| 46. |
Network model of movement disorders (Yousif et al 2020)
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| 47. |
Nicotinic control of dopamine release in nucleus accumbens (Maex et al. 2014)
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| 48. |
Optimal deep brain stimulation of the subthalamic nucleus-a computational study (Feng et al. 2007)
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| 49. |
Pallidostriatal projections promote beta oscillations (Corbit, Whalen, et al 2016)
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| 50. |
Phase response curve of a globus pallidal neuron (Fujita et al. 2011)
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| 51. |
Phasic dopamine changes, Hebbian mechs during reversal learning in striatum (Schirru et al in press)
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| 52. |
Population-level model of the basal ganglia and action selection (Gurney et al 2001, 2004)
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| 53. |
Regulation of firing frequency in a midbrain dopaminergic neuron model (Kuznetsova et al. 2010)
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| 54. |
Role of the AIS in the control of spontaneous frequency of dopaminergic neurons (Meza et al 2017)
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| 55. |
Signaling pathways In D1R containing striatal spiny projection neurons (Blackwell et al 2018)
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| 56. |
Single compartment Dorsal Lateral Medium Spiny Neuron w/ NMDA and AMPA (Biddell and Johnson 2013)
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| 57. |
Single-cell comprehensive biophysical model of SN pars compacta (Muddapu & Chakravarthy 2021)
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| 58. |
Speed/accuracy trade-off between the habitual and the goal-directed processes (Kermati et al. 2011)
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| 59. |
Spiking neuron model of the basal ganglia (Humphries et al 2006)
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| 60. |
Striatal D1R medium spiny neuron, including a subcellular DA cascade (Lindroos et al 2018)
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| 61. |
Striatal Spiny Projection Neuron, inhibition enhances spatial specificity (Dorman et al 2018)
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| 62. |
Striatum D1 Striosome and Matrix Upstates (Prager et al., 2020)
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| 63. |
Study of augmented Rubin and Terman 2004 deep brain stim. model in Parkinsons (Pascual et al. 2006)
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| 64. |
The microcircuits of striatum in silico (Hjorth et al 2020)
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| 65. |
The STN-GPe network; subthalamic nucleus, prototypic GPe, and arkypallidal GPe neurons (Kitano 2023)
|
| 66. |
VTA dopamine neuron (Tarfa, Evans, and Khaliq 2017)
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