3rd Edition of International Conference on
Neurology and Brain Disorders
- June 24-26, 2019
- Paris, France
Stephen Grossberg is a principal founder and current research leader in computational neuroscience, theoretical cognitive science, and brain-inspired technology. He introduced the paradigm and equations for learning and memory that are used today. His work focuses upon how Individuals adapt autonomously in real time to unexpected environmental challenges. Google Scholar reports more than 70,000 citations of his over 550 publications. He has received numerous awards and honors from around the world, most recently the 2015 Norman Anderson Lifetime Achievement Award of the Society of Experimental Psychologists (SEP), and the 2017 Frank Rosenblatt award of the Institute for Electrical and Electronics Engineers(IEEE).
This talk provides a self-contained summary of neural models of normal and abnormal learning and memory consolidation in which the hippocampus plays an important role. As heuristically described in the Multiple Trace Theory of Moscovitch and Nadel, the role of the hippocampus in some learning processes is time-limited, but in others more enduring. This theme raises the question of why and how several different kinds of learning processes all include hippocampal resources. The talk will describe neural models of cognitive, adaptively-timed cognitive-emotional, and spatial navigational processes that all involve the hippocampus in learning and memory consolidation processes, but which differ in the extent of hippocampal involvement as memory consolidation proceeds. It hereby provides mechanistic explanations of the differences that have been experimentally reported about hippocampal involvement. Many psychological and neurobiological data are explained in a unified way by these