Abstract
In this work, we have modeled the role of the STN-GPe during the switch from automatic to voluntary movement using the control of saccadic eye movement as an example. We show that our network model of the basal ganglia is able to reproduce some experimental results and suggests a novel role for the STN-GPe network as a source of exploration in the function of the basal ganglia. This is particularly relevant to the Reinforcement Learning driven view of the BG, where the explorer is a necessary component of the Reinforcement Learning (RL) apparatus.
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References
Redgrave P, Prescott TJ, Gurney K (1999b) The basal ganglia: a vertebrate solution to the selection problem? Neuroscience 89:1009–1023.
Chakravarthy VS, Joseph D, Bapi RS. What do the basal ganglia do? A modeling perspective. Biol Cybern. 2010 Sep;103(3):237-53.
Albin, R. L., Young, A. B. and Penney, J. B. The functional anatomy of basal ganglia disorders. Trends Neurosci. 12, 366–375 (1989).
Schultz W, Dayan P, Montague PR (1997) A neural substrate of prediction and reward. Science 275:1593–1599.
Sutton RS, Barto AG (1998) Reinforcement learning: an introduction. MIT Press, Cambridge
O'Doherty J, Dayan P, Schultz J, Deichmann R, Friston K, Dolan RJ. (2004) Dissociable roles of ventral and dorsal striatum in instrumental conditioning. Science. 304:452–454.
Houk JC, Davis JL, Beiser DG (1995) Models of information processing in the basal ganglia. MIT Press, Cambridge
Sridharan, D., Prashanth, P.S., and Chakravarthy, V.S. (2006). The role of the basal ganglia in exploration in a neural model based on reinforcement learning. International Journal of Neural Systems, 16, 111–124.
Baunez C, Humby T, Eagle DM, Ryan LJ, Dunnett SB, Robbins TW.(2001) Effects of STN lesions on simple vs choice reaction time tasks in the rat: preserved motor readiness, but impaired response selection. Eur J Neurosci.13:1609–1616.
M. Isoda and O. Hikosaka, “Role for subthalamic nucleus neurons in switching from automatic to controlled eye movement”, J Neurosci. 9,7209–7218.
D. I. Standage, T.P. Trappenberg and R.M. Klein, “ Modelling divided visual attention with a winner-take-all network”, Neural Networks, vol. 18, pp. 620–627, 2005.
M.J. Frank, “Hold your horses: A dynamic computational role for the subthalamic nucleus in decision making,” Neural Networks, vol. 19, 2006, pp. 1120–1136
Acknowledgments
R.M. wishes to acknowledge the IIT-Madras postdoctoral fellowship for funding.
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Maithreye, R., Chakravarthy, V.S. (2013). A Computational Study of the Role of the Sub-thalamic Nucleus in Behavioral Switching During Saccadic Movements. In: Yamaguchi, Y. (eds) Advances in Cognitive Neurodynamics (III). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4792-0_8
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DOI: https://doi.org/10.1007/978-94-007-4792-0_8
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