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A Neural Hybrid-System Model of the Basal Ganglia
Joseph Makin, Alessandro Abate

Citation
Joseph Makin, Alessandro Abate. "A Neural Hybrid-System Model of the Basal Ganglia". Technical report, University of California, Berkeley, UCB/EECS-2007-16, 2007.

Abstract
The basal ganglia (BG) are a set of functionally related and structurally interconnected nuclei in the human brain which form part of a closed loop between cortex and thalamus, receiving input from the former and outputting to the latter. The BG have been implicated in motor control and cognitive switching tasks; in particular, it is believed that the BG function as a controller for motor tasks by selectively disinhibiting appropriate portions of the thalamus and hence activating, via a feedback loop, cortical regions. These switching behaviors are perforce discrete, whereas the underlying dynamics of neuron voltages and neurotransmitter levels are continuous-time, continuousstate phenomena. To this end, we propose and simulate a hybrid automaton for modeling individual neurons that affords explicit representation of voltage discharges and discrete outputs along with continuous voltage dynamics within a single, elegant model; and which is amenable both to the construction of large networks—in particular the cortico-basalthalamic loops—and to analysis on such networks.

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Citation formats  
  • HTML
    Joseph Makin, Alessandro Abate. <a
    href="http://chess.eecs.berkeley.edu/pubs/219.html"
    ><i>A Neural Hybrid-System Model of the Basal
    Ganglia</i></a>, Technical report,  University
    of California, Berkeley, UCB/EECS-2007-16, 2007.
  • Plain text
    Joseph Makin, Alessandro Abate. "A Neural Hybrid-System
    Model of the Basal Ganglia". Technical report, 
    University of California, Berkeley, UCB/EECS-2007-16, 2007.
  • BibTeX
    @techreport{MakinAbate07_NeuralHybridSystemModelOfBasalGanglia,
        author = {Joseph Makin and Alessandro Abate},
        title = {A Neural Hybrid-System Model of the Basal Ganglia},
        institution = {University of California, Berkeley},
        number = {UCB/EECS-2007-16},
        year = {2007},
        abstract = {The basal ganglia (BG) are a set of functionally
                  related and structurally interconnected nuclei in
                  the human brain which form part of a closed loop
                  between cortex and thalamus, receiving input from
                  the former and outputting to the latter. The BG
                  have been implicated in motor control and
                  cognitive switching tasks; in particular, it is
                  believed that the BG function as a controller for
                  motor tasks by selectively disinhibiting
                  appropriate portions of the thalamus and hence
                  activating, via a feedback loop, cortical regions.
                  These switching behaviors are perforce discrete,
                  whereas the underlying dynamics of neuron voltages
                  and neurotransmitter levels are continuous-time,
                  continuousstate phenomena. To this end, we propose
                  and simulate a hybrid automaton for modeling
                  individual neurons that affords explicit
                  representation of voltage discharges and discrete
                  outputs along with continuous voltage dynamics
                  within a single, elegant model; and which is
                  amenable both to the construction of large
                  networks—in particular the cortico-basalthalamic
                  loops—and to analysis on such networks.},
        URL = {http://chess.eecs.berkeley.edu/pubs/219.html}
    }
    

Posted by Alessandro Abate on 24 Apr 2007.
Groups: chess
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