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.

Electronic downloads

• http://www.eecs.berkeley.edu/~aabate/papers/EECS-2007-16.pdf
• http://www.eecs.berkeley.edu/Pubs/TechRpts/2007/EECS-2007-16.html

• 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
For additional information, see the Publications FAQ or contact webmaster at chess eecs berkeley edu.