
tja@illinois.edu
3041 Beckman Institute
Office: (217) 244-2895
Lab: (217) 244-5913
Fax: (217) 333-1133
Mail to:
Dept of Molecular and Integrative Physiology
524 Burrill Hall
407 S. Goodwin Ave
Urbana, IL 61801
Thomas J Anastasio
Associate Professor of Molecular and Integrative Physiology, Biophysics, and Neuroscience
Education
B.Sc. 1980 McGill University
Ph.D. 1986 University of Texas, Galveston
Postdoc.1988 John Hopkins University
Teaching Interests
Sensorimotor Transformations in the Nervous System
Experimental neuroscience has produced a wealth of information concerning the neural substrates of behavior. My main goal is to develop computer models that synthesize and explain these data, and provide insight into how the nervous system works. I'm interested in modeling neural systems that produce relatively simple behaviors, such as the saccadic system, which rapidly reorients gaze. I'm also interested in modeling the cerebellum which, among other functions, produces adaptive changes in saccadic and other eye-movement systems. I use a variety of approaches to modeling -- from linear systems and probability theory to adaptive neural networks. I make my models relevant to nervous system function by using them to simulate real data and derive experimentally testable predictions.
Modeling neural systems that produce simple behaviors Experimental neuroscience has produced a wealth of information concerning the neural substrates of behavior. My main goal is to develop computer models that synthesize and explain these data, and provide insight into how the nervous system works. I‘m interested in modeling neural systems that produce relatively simple behaviors, such as the saccadic system, which rapidly reorients gaze. I‘m also interested in modeling the cerebellum which, among other functions, produces adaptive changes in saccadic and other eye-movement systems. I use a variety of approaches to modeling -- from linear systems and probability theory to adaptive neural networks. I make my models relevant to nervous system function by using them to simulate real data and derive experimentally testable predictions.
Representative Publications
Anastasio, T.J., Patton, P.E. and Belkacem-Boussaid, K. (2000) "Using Bayes' rule to model multisensory enhancement in the superior colliculus," Neural Computation 12:997-1019. [Abstract]
Anastasio, T.J. (2001) "Input minimization: A model of cerebellar learning without climbing fiber error signals," NeuroReport 12:3825-3831. [Abstract]
Anastasio, T.J. (2001) "A pattern correlation model of vestibulo-ocular reflex habituation " Neural Netw. 14(1):1-22. [Abstract]
Patton, P.E., Belkacem-Boussaid, K. and Anastasio, T.J. (2002) "Multimodality in the superior colliculus: An information theoretic analysis," Cognitive Brain Research 14:10-19. [Abstract]
Patton, P.E. and Anastasio, T.J. (2003) "Modeling cross-modal enhancement and modality-specific suppression in multisensory neurons," Neural Computation 15:783-810. [Abstract]
Anastasio, T.J. and Patton, P.E. (2003) "A two-stage unsupervised learning algorithm reproduces multisensory enhancement in a neural network model of the corticotectal system," Journal of Neuroscience 23:6713-6727. [Abstract]