Abstract
We model the role played by the Basal Ganglia (BG) in generation of voluntary saccadic eye movements. Performance of the model is evaluated on a set of tasks such as feature and conjunction searches, directional selectivity and a successive saccade task. Behavioral phenomena such as independence of search time on number of distracters in feature search and linear increase in search time with number of distracters in conjunction search are observed. It is also seen that saccadic reaction times are longer and search efficiency is impaired on diminished BG contribution, which corroborates with reported data obtained from Parkinson’s Disease (PD) patients.
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References
Gerfen, C.R., Wilson, C.J.: The basal ganglia. In: Swanson, L.W., Bjorklund, A., Hokfelt, T. (eds.) Handbook of Chemical Neuroanatomy, pp. 371–468. Elsevier, Amsterdam (1996)
Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. MIT Press, Cambridge (1998)
Robinson, D.: Oculomotor Control Signals. In: Lennerstrands, G., Bach-y-Rita, P. (eds.) Basic Mechanisms of Ocular Motility and their Clinical Implications. Pergammon Press, Inc., New York (1975)
Lefevre, P., Galiana, H.L.: Dynamic feedback to the superior colliculus in a neural network model of the gaze control system. Neural Networks 5, 871–890 (1992)
Arai, K., Keller, E.L., Edelman: Two-dimensional neural network model of the primate saccadic system. Neural Networks 7, 1115–1135 (1994)
Optican, L.: Control of saccade trajectory by the superior colliculus. In: Contemporary Oculo-Motor and Vestibular Research: A Tribute to DA Robinson, pp. 98–105 (1994)
Dominey, P.F., Arbib, M.A.: A Cortico-Subcortical Model for Generation of Spatially Accurate Sequential Saccades. Cerebral Cortex 2, 153–175 (1992)
Standage, D.I., Trappenberg, T.: Modelling divided visual attention with a winner-take-all network. Neural Networks 18(5-6), 620–627 (2005)
Schultz: Predictive Reward Signal of Dopamine Neurons. J. Neurophysiol. 80, 1–27 (1998)
Gangadhar, G., Joseph, D., Chakravarthy, V.S.: Understanding Parkinsonian Handwriting using a computational model of basal ganglia. Neural Computation 20, 1–35 (2008)
Sridharan, D., Prashanth, P.S., Chakravarthy, V.S.: The role of the basal ganglia in exploration in a neural model based on reinforcement learning. International Journal of Neural Systems 16, 111–124 (2006)
Wolfe, J.M.: Guided search 2.0: A revised model of visual search. Psychonomic Bulletin and Review 1, 202–238 (1994)
Montague, P.R., Dayan, P., Person, C., Sejnowski, T.J.: A framework for mesencephalic dopamine systems based on predictive Hebbian learning. J. Neurosc. 16, 1936–1947 (1996)
Kato, M., Miyashita, N., Hikosaka, O., Matsumura, M., Usui, S., Kori, A.: Eye movements in monkeys with local dopamine depletion in caudate nucleus. J. Neuroscience 15(1), 912–927 (1995)
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Krishnan, R., Ratnadurai, S., Subramanian, D., Chakravarthy, S. (2010). A Model of Basal Ganglia in Saccade Generation . In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15819-3_37
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DOI: https://doi.org/10.1007/978-3-642-15819-3_37
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