• DocumentCode
    3501104
  • Title

    Expanding the Go/NoGo depiction of the action of Basal Ganglia pathways

  • Author

    Kumar, K. Sanjeeva ; Maithreye, R. ; Gupte, N. ; Chakravarthy, V.S.

  • Author_Institution
    Dept. of Biotechnol., Indian Inst. of Technol., Chennai, India
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    3207
  • Lastpage
    3212
  • Abstract
    We present a neuronal network model of Basal Ganglia that departs from the classical Go/NoGo picture of the function of its key pathways - the direct and indirect pathways (DP & IP). The model is instantiated in a simple action selection task. Striatal dopamine is assumed to switch between DP and IP activation. Simulations reveal that between the Go and NoGo regimes, exhibited at extreme values of dopamine, the system displays, at intermediate values of dopamine, a new Explore regime, which enables it to explore the space of action alternatives. The exploratory dynamics originates from the chaotic dynamics of pallido-subthalamic loop. Following the tradition of applying reinforcement learning (RL) concepts to BG function, we associate this new regime with the Explorer, a key component in Actor-Critic framework.
  • Keywords
    learning (artificial intelligence); neural nets; Go/NoGo depiction; action selection task; actor-critic framework; basal ganglia pathways; chaotic dynamics; exploratory dynamics; explore regime; indirect pathways; neuronal network model; pallido-subthalamic loop; reinforcement learning; striatal dopamine; Basal ganglia; Brain modeling; Chaos; Computational modeling; Firing; IP networks; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2011 International Joint Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4244-9635-8
  • Type

    conf

  • DOI
    10.1109/IJCNN.2011.6033646
  • Filename
    6033646