Please join us on 4/6 for a Developmental Science HOA with Dr.Matthew Schlesinger, Associate Professor of Psychology…

Please join us on 4/6 for a Developmental Science HOA with Dr.Matthew Schlesinger, Associate Professor of Psychology at Southern Illinois University and director of the SIU Vision Lab. Matthew Schlesinger received his graduate degree in cognitive development from the University of California at Berkeley in 1995. After spending a year as a visiting lecturer in psychology at Berkeley, Dr. Schlesinger received a Fulbright fellowship to study artificial life models of sensorimotor cognition with Domenico Parisi at the Italian National Research Council in Rome. Dr. Schlesinger continued his postdoctoral work in 1998-2000 with a multi-disciplinary team of researchers at the University of Massachusetts, studying machine-learning approaches to adaptive motor control.  He is currently involved in three areas of research:  (1) visual attention and spatial working memory in infants, children, and adults, (2) neural network models of early visual processing and oculomotor control, and (3) neural substrates of working memory and spatial-directed attention. 

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Relevant Links:

Faculty page: http://goo.gl/JZro2y 

Lab page: http://goo.gl/5mxvZA 

Developmental Robotics Book: http://goo.gl/NEpoBg 

ICDL-EpiRob Conference:  http://goo.gl/KfnvG 

Relevant Readings:

Schlesinger, M., Johnson, S.P., & Amso, D.  (2014).  Prediction-learning in infants as a mechanism for gaze control during object exploration. Frontiers in Perception Science, 5, 1-12.  http://goo.gl/ZiXuDo 

Schlesinger, M., & McMurray, B. (2012). The past, present, and future of computational models of cognitive development. Cognitive Development, 27, 326-348.  http://goo.gl/T8Bgnd 

Schlesinger, M., Johnson, S.P., & Amso, D.  (2014).  Learnability of infants’ center-of-gaze sequences predicts their habituation and posthabituation looking time. In Proceedings of the Fourth Joint IEEE Conference on Development and Learning and on Epigenetic Robotics (pp. 267-272). New York: IEEE. http://goo.gl/qEc54G