Relevant bibliographies by topics / Basal ganglia model

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Basal ganglia model'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Basal ganglia model"

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Barker, Roger. "Model for basal ganglia disorders." Trends in Neurosciences 13, no. 3 (1990): 93. http://dx.doi.org/10.1016/0166-2236(90)90181-9.

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Hallett, Mark. "Physiology of Basal Ganglia Disorders: An Overview." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 20, no. 3 (1993): 177–83. http://dx.doi.org/10.1017/s0317167100047909.

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ABSTRACT:The pathophysiology of the movement disorders arising from basal ganglia disorders has been uncertain, in part because of a lack of a good theory of how the basal ganglia contribute to normal voluntary movement. An hypothesis for basal ganglia function is proposed here based on recent advances in anatomy and physiology. Briefly, the model proposes that the purpose of the basal ganglia circuits is to select and inhibit specific motor synergies to carry out a desired action. The direct pathway is to select and the indirect pathway is to inhibit these synergies. The clinical and physiolo
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Gonzalo, N. "The parafascicular thalamic complex and basal ganglia circuitry: further complexity to the basal ganglia model." Thalamus & Related Systems 1, no. 4 (2002): 341–48. http://dx.doi.org/10.1016/s1472-9288(02)00007-9.

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Gonzalo, N., J. L. Lanciego, M. Castle, A. Vázquez, E. Erro, and J. A. Obeso. "The parafascicular thalamic complex and basal ganglia circuitry: further complexity to the basal ganglia model." Thalamus and Related Systems 1, no. 04 (2002): 341. http://dx.doi.org/10.1017/s1472928802000079.

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Lepora, Nathan F., and Kevin N. Gurney. "The Basal Ganglia Optimize Decision Making over General Perceptual Hypotheses." Neural Computation 24, no. 11 (2012): 2924–45. http://dx.doi.org/10.1162/neco_a_00360.

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The basal ganglia are a subcortical group of interconnected nuclei involved in mediating action selection within cortex. A recent proposal is that this selection leads to optimal decision making over multiple alternatives because the basal ganglia anatomy maps onto a network implementation of an optimal statistical method for hypothesis testing, assuming that cortical activity encodes evidence for constrained gaussian-distributed alternatives. This letter demonstrates that this model of the basal ganglia extends naturally to encompass general Bayesian sequential analysis over arbitrary probabi
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Plotkin, Joshua L., and Joshua A. Goldberg. "Thinking Outside the Box (and Arrow): Current Themes in Striatal Dysfunction in Movement Disorders." Neuroscientist 25, no. 4 (2018): 359–79. http://dx.doi.org/10.1177/1073858418807887.

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The basal ganglia are an intricately connected assembly of subcortical nuclei, forming the core of an adaptive network connecting cortical and thalamic circuits. For nearly three decades, researchers and medical practitioners have conceptualized how the basal ganglia circuit works, and how its pathology underlies motor disorders such as Parkinson’s and Huntington’s diseases, using what is often referred to as the “box-and-arrow model”: a circuit diagram showing the broad strokes of basal ganglia connectivity and the pathological increases and decreases in the weights of specific connections th
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Yin, Henry H. "How Basal Ganglia Outputs Generate Behavior." Advances in Neuroscience 2014 (November 18, 2014): 1–28. http://dx.doi.org/10.1155/2014/768313.

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The basal ganglia (BG) are a collection of subcortical nuclei critical for voluntary behavior. According to the standard model, the output projections from the BG tonically inhibit downstream motor centers and prevent behavior. A pause in the BG output opens the gate for behavior, allowing the initiation of actions. Hypokinetic neurological symptoms, such as inability to initiate actions in Parkinson’s disease, are explained by excessively high firing rates of the BG output neurons. This model, widely taught in textbooks, is contradicted by recent electrophysiological results, which are review
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Prescott, Tony J., Fernando M. Montes González, Kevin Gurney, Mark D. Humphries, and Peter Redgrave. "Simulated Dopamine Modulation of a Neurorobotic Model of the Basal Ganglia." Biomimetics 9, no. 3 (2024): 139. http://dx.doi.org/10.3390/biomimetics9030139.

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The vertebrate basal ganglia play an important role in action selection—the resolution of conflicts between alternative motor programs. The effective operation of basal ganglia circuitry is also known to rely on appropriate levels of the neurotransmitter dopamine. We investigated reducing or increasing the tonic level of simulated dopamine in a prior model of the basal ganglia integrated into a robot control architecture engaged in a foraging task inspired by animal behaviour. The main findings were that progressive reductions in the levels of simulated dopamine caused slowed behaviour and, at
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Tan, Xiaolong, Hudong Zhang, Yan Xie, and Yuan Chai. "Electromagnetic radiation and electrical stimulation controls of absence seizures in a coupled reduced corticothalamic model." Electronic Research Archive 31, no. 1 (2022): 58–74. http://dx.doi.org/10.3934/era.2023004.

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<abstract> <p>The important role of basal ganglia in corticothalamic loops has received widespread attention. However, its connection between coupled reduced corticothalamic networks is rarely researched, particularly the regulatory mechanism about electromagnetic radiation and electrical stimulation has not been comprehensively investigated. In this paper, we establish a model simplified the basal-ganglia as a connector connecting two corticothalamic loops. Four kinds of treatment methods are applied to the coupled reduced corticothalamic model, for instance deep brain stimulation
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Caiola, Michael, and Mark H. Holmes. "Model and Analysis for the Onset of Parkinsonian Firing Patterns in a Simplified Basal Ganglia." International Journal of Neural Systems 29, no. 01 (2019): 1850021. http://dx.doi.org/10.1142/s0129065718500211.

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Parkinson’s disease (PD) is a degenerative neurological disease that disrupts the movement cycle in the basal ganglia. As the disease progresses, dopamine depletion leads to changes to how the basal ganglia functions as well as the appearance of abnormal beta oscillations. There is much debate on just exactly how these connection strengths change and just how the oscillations emerge. One leading hypothesis claims that the oscillations develop in the globus pallidus external, subthalamic nucleus, and globus pallidus internal loop. We introduce a mathematical model that calculates the average fi
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Dissertations / Theses on the topic "Basal ganglia model"

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Søiland, Stian. "Sequence learning in a model of the basal ganglia." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9312.

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<p>This thesis presents a computational model of the basal ganglia that is able to learn sequences and perform action selection. The basal ganglia is a set of structures in the human brain involved in everything from action selection to reinforcement learning, inspiring research in psychology, neuroscience and computer science. Two temporal difference models of the basal ganglia based on previous work have been reimplemented. Several experiments and analyses help understand and describe the original works. This uncovered flaws and problems that is addressed.</p>
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Senatore, Rosa. "The role of basal ganglia and cerebellum in motor learning. A computational model." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/373.

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2010 - 2011<br>Our research activity investigates the computational processes underlying the execution of complex sequences of movements and aims at understanding how different levels of the nervous system interact and contribute to the gradual improvement of motor performance during learning. Many research areas, from neuroscience to engineering, investigate, from different perspectives and for diverse purposes, the processes that allow humans to efficiently perform skilled movements. From a biological point of view, the execution of voluntary movements requires the interaction between
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Silva, Miranda B. A. "The role of prefrontal cortex and basal ganglia in model-based and model-free reinforcement learning." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1475076/.

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Contemporary reinforcement learning (RL) theory suggests that choices can be evaluated either by the model-free (MF) strategy of learning their past worth or the model-based (MB) strategy of predicting their likely consequences based on learning how decision states eventually transition to outcomes. Statistical and computational considerations argue that these strategies should ideally be combined. This thesis aimed to investigate the neural implementation of these two RL strategies and the mechanisms of their interactions. Two non-human primates performed a two-stage decision task designed to
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Kumbhare, Deepak. "ELECTROPHYSIOLOGY OF BASAL GANGLIA (BG) CIRCUITRY AND DYSTONIA AS A MODEL OF MOTOR CONTROL DYSFUNCTION." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4305.

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The basal ganglia (BG) is a complex set of heavily interconnected nuclei located in the central part of the brain that receives inputs from the several areas of the cortex and projects via the thalamus back to the prefrontal and motor cortical areas. Despite playing a significant part in multiple brain functions, the physiology of the BG and associated disorders like dystonia remain poorly understood. Dystonia is a devastating condition characterized by ineffective, twisting movements, prolonged co-contractions and contorted postures. Evidences suggest that it occurs due to abnormal discharge
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Du, Zhuowei. "Caractérisation of GABAergic neurotransmission within basal ganglia circuit in R6/1 Huntington's disease mouse model." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0046/document.

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Nous avons étudié les récepteurs GABAA dans un modèle de la maladie de Huntington. En combinant des approches biochimiques, moléculaires, électrophysiologiques et de l’imagerie haute résolution, nous avons montré une modification de la neurotransmission GABAergique chez des animaux à des stades pre- et post-symptomatiques. Nos études montrent une diminution de de la neurotransmission GABAergique dans le globus pallidus des souris Huntington qui pourrait conduire à une modification des noyaux de sortie des ganglions de la base et de l’activité motrice. L’ensemble de nos résultats permet de défi
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Slewa, Barbara Lidia [Verfasser]. "Electrophysiological activity of basal ganglia under deep brain stimulation in the rat model / Barbara Lidia Slewa." Tübingen : Universitätsbibliothek Tübingen, 2020. http://d-nb.info/1223451445/34.

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Haynes, William. "When anatomy drives physiology : expanding the actor-critic model of the basal ganglia to new subthalamus connections." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066662/document.

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Les noyaux gris centraux (ganglions de la base en anglais) sont un réseau de structures sous-corticales dont la persistance dans l'ensemble des vertébrés plaide en faveur d'une fonction clef au cours de l'évolution. Comme ce fut remarqué dès le 18ème siècle, ils ont l'unique particularité de concentrer des afférences de l'entièreté de la surface corticale. Cette position centrale et l'analyse de l'anatomie du réseau leur ont valu le rôle d'arbitre central du cerveau, réglant les conflits entre processus neuronaux concomitants bien qu'incompatibles. Au sein du réseau, le noyau subthalamique jou
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Zachrisson, Love. "HIGH-FREQUENCY OSCILLATIONS IN A MOUSE MODEL OF PARKINSON’S DISEASE." Thesis, Umeå universitet, Institutionen för psykologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172265.

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Dopamine replacement therapy is the main method of treating Parkinson’s Disease (PD), however over time this treatment causes increasingly abnormal, involuntary movements. This symptom, known as Levodopa-Induced-Dyskinesia (LID) is associated with aberrant, high frequency oscillations (HFOs) in the motor cortex and basal ganglia, as demonstrated with implanted electrodes in human Parkinson’s patients as well as in a rat model of Parkinson’s Disease. However, despite efforts to determine if the same high frequency oscillations are also present during dyskinesia in the widespread 6-OHDA mouse mo
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Thurnham, A. J. "Computational modelling of the neural systems involved in schizophrenia." Thesis, University of Hertfordshire, 2008. http://hdl.handle.net/2299/1842.

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The aim of this thesis is to improve our understanding of the neural systems involved in schizophrenia by suggesting possible avenues for future computational modelling in an attempt to make sense of the vast number of studies relating to the symptoms and cognitive deficits relating to the disorder. This multidisciplinary research has covered three different levels of analysis: abnormalities in the microscopic brain structure, dopamine dysfunction at a neurochemical level, and interactions between cortical and subcortical brain areas, connected by cortico-basal ganglia circuit loops; and has c
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Canudas, Teixidó Anna-Maria. "Estudi de la degeneració transneuronal en models de malalties que afecten als ganglis basals." Doctoral thesis, Universitat de Barcelona, 2001. http://hdl.handle.net/10803/672867.

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L'objectiu general d'aquest treball és aprofundir en l'estudi de la fisiopatologia de les malalties degeneratives, un dels objectius principals per a la farmacologia actual degut a l'increment de la seva incidència en les últimes dècades. Mitjançant la utilització de models experimentals d 'aquestes patologies s'han plantejat diferents objectius més concrets: A.- Induir la malaltia de Parkinson experimental a través de la injecció de l'MPP+ en la substància negra de rata. A1.-Estudiar la resposta glial en el nucli estriat després de La degeneració anterograda de les neurones dop
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Books on the topic "Basal ganglia model"

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Chakravarthy, V. Srinivasa, and Ahmed A. Moustafa. Computational Neuroscience Models of the Basal Ganglia. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8494-2.

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C, Houk James, Davis Joel L. 1942-, and Beiser David G, eds. Models of information processing in the basal ganglia. MIT Press, 1994.

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C, Houk James, Davis Joel L. 1942-, and Beiser David G, eds. Models of information processing in the basal ganglia. MIT Press, 1995.

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International Basal Ganglia Society. Symposium. The basal ganglia II: Structure and function : current concepts. Plenum Press, 1987.

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P, Riederer, and Wesemann W, eds. Parkinson's disease: Experimental models and therapy. Springer-Verlag, 1995.

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Ely, Budding Deborah, ed. Subcortical structures and cognition: Implications for neuropsychological assessment. Springer, 2009.

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Steele, Vaughn R., Vani Pariyadath, Rita Z. Goldstein, and Elliot A. Stein. Reward Circuitry and Drug Addiction. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0044.

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Addiction is a complex neuropsychiatric syndrome related to dysregulation of brain systems including the mesocorticolimbic dopamine reward circuit. Dysregulation of reward circuitry is related to each of the three cyclical stages in the disease model of addiction: maintenance, abstinence, and relapse. Parsing reward circuitry is confounded due to the anatomical complexity of cortico-basal ganglia-thalamocortical loops, forward and backward projections within the circuit, and interactions between neurotransmitter systems. We begin by introducing the neurobiology of the reward system, specifical
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Symposium, International Basal Ganglia Society. The basal ganglia II. Plenum, 1987.

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Chakravarthy, V. Srinivasa, and Ahmed A. Moustafa. Computational Neuroscience Models of the Basal Ganglia. Springer, 2018.

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Chakravarthy, V. Srinivasa. Computational Neuroscience Models of the Basal Ganglia. Springer, 2018.

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Book chapters on the topic "Basal ganglia model"

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Koziol, Leonard F., Deborah Ely Budding, and Dana Chidekel. "The Basal Ganglia." In ADHD as a Model of Brain-Behavior Relationships. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8382-3_14.

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Koziol, Leonard F., Deborah Ely Budding, and Dana Chidekel. "The Basal Ganglia and Intention Programs." In ADHD as a Model of Brain-Behavior Relationships. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8382-3_15.

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Koziol, Leonard F., Deborah Ely Budding, and Dana Chidekel. "Reward Circuitry and the Basal Ganglia." In ADHD as a Model of Brain-Behavior Relationships. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8382-3_17.

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Mandali, Alekhya, and V. Srinivasa Chakravarthy. "Synchronization and Exploration in Basal Ganglia—A Spiking Network Model." In Computational Neuroscience Models of the Basal Ganglia. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8494-2_6.

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Muralidharan, Vignesh, Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, and Ahmed A. Moustafa. "A Basal Ganglia Model of Freezing of Gait in Parkinson’s Disease." In Computational Neuroscience Models of the Basal Ganglia. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8494-2_7.

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Krishnan, Ravi, Shivakesavan Ratnadurai, Deepak Subramanian, and Srinivasa Chakravarthy. "A Model of Basal Ganglia in Saccade Generation." In Artificial Neural Networks – ICANN 2010. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15819-3_37.

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Muralidharan, Vignesh, Alekhya Mandali, Pragathi Priyadharsini Balasubramani, Hima Mehta, V. Srinivasa Chakravarthy, and Marjan Jahanshahi. "A Cortico-Basal Ganglia Model to Understand the Neural Dynamics of Targeted Reaching in Normal and Parkinson’s Conditions." In Computational Neuroscience Models of the Basal Ganglia. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8494-2_10.

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Mandali, Alekhya, and V. Srinivasa Chakravarthy. "Studying the Effect of Dopaminergic Medication and STN–DBS on Cognitive Function Using a Spiking Basal Ganglia Model." In Computational Neuroscience Models of the Basal Ganglia. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8494-2_11.

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Maya, M., V. Srinivasa Chakravarthy, and B. Ravindran. "An Oscillatory Neural Network Model for Birdsong Learning and Generation: Implications for the Role of Dopamine in Song Learning." In Computational Neuroscience Models of the Basal Ganglia. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8494-2_14.

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Bogacz, Rafal. "Optimal Decision Making in the Cortico-Basal-Ganglia Circuit." In An Introduction to Model-Based Cognitive Neuroscience. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2236-9_14.

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Conference papers on the topic "Basal ganglia model"

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Doho, Hirotaka, Sou Nobukawa, Haruhiko Nishimura, and Tetsuya Takahashi. "Stabilization of Neural Activity in Brain Circuit Model of Cerebral Cortex-Basal Ganglia by Chaotic Resonance Control." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10651172.

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Wu, Kun-Ta, Peng-Jye Chen, Chih-Chuan Chiang, Yung-Jhe Yan, and Mang Ou-Yang. "Establishing the neuron SPICE model of basal ganglia in Parkinson’s disease based on the Hodgkin-Huxley conductance-based theory." In Neural Imaging and Sensing 2025, edited by Qingming Luo, Jun Ding, and Ling Fu. SPIE, 2025. https://doi.org/10.1117/12.3042548.

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Mohagheghi-Nejad, Mohammad Reza, Fariba Bahrami, and Mahyar Janahmadi. "Conductance-based computational model of basal ganglia." In 2014 22nd Iranian Conference on Electrical Engineering (ICEE). IEEE, 2014. http://dx.doi.org/10.1109/iraniancee.2014.6999867.

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Elibol, Rahmi, and Neslihan Serap Sengor. "Modeling basal ganglia circuits with mass model equations." In 2016 Medical Technologies National Congress (TIPTEKNO). IEEE, 2016. http://dx.doi.org/10.1109/tiptekno.2016.7863131.

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Guiyeom Kang and M. M. Lowery. "Conductance-based model of the basal ganglia in Parkinson's Disease." In IET Irish Signals and Systems Conference (ISSC 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.1692.

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Ozdemir, Mustafa Yasir, and Neslihan Serap Sengor. "A Computational Model of Basal Ganglia Circuit Established with Spiking Neural Network." In 2017 21st National Biomedical Engineering Meeting (BIYOMUT). IEEE, 2017. http://dx.doi.org/10.1109/biyomut.2017.8479123.

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Gao, Yuanyuan, and Hongjun Song. "A motor learning model based on the basal ganglia in operant conditioning." In 2014 26th Chinese Control And Decision Conference (CCDC). IEEE, 2014. http://dx.doi.org/10.1109/ccdc.2014.6853115.

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Baston, Chiara, and Mauro Ursino. "A computational model of Dopamine and Acetylcholine aberrant learning in Basal Ganglia." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7319883.

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Liang, Yabin, Zikai Yan, Qi Zhang, et al. "A Decision-Making Model Based on Basal Ganglia Account of Action Prediction." In 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2019. http://dx.doi.org/10.1109/robio49542.2019.8961538.

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Cabessa, Jeremie, and Alessandro E. P. Villa. "Attractor-based complexity of a Boolean model of the basal ganglia-thalamocortical network." In 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016. http://dx.doi.org/10.1109/ijcnn.2016.7727812.

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