Theory of Cortical Plasticity by Leon N Cooper (PDF)

Description

In Theory of Cortical Plasticity, Nobel Laureate Leon Cooper and his collaborators present a systematic development of the Bienenstock, Cooper and Munro (BCM) theory of synaptic plasticity, and discuss experiments that test both its assumptions and consequences.This insightful book provides an elegant analysis of theoretical structure in neuroscience research, and elucidates the role BCM theory has played in guiding research leading to our present understanding of the mechanisms underlying cortical plasticity.This book has been selected for coverage in: – CC / Physical, Chemical & Earth Sciences- Neuroscience Citation Index(R)- Index to Scientific Book Contents(R) (ISBC)

User’s Reviews

Editorial Reviews: About the Author Leon N Cooper is the Thomas J Watson Senior Professor of Science at Brown University. He specializes in theoretical physics, including low-temperature physics, and has also done theoretical work in modeling neural networks, which are networks of nerve cells. Dr Cooper is the director of the Brown University Institute for Brain and Neural Systems and Brain Science Program, which consist of a group of scientists applying various disciplines to the study of the brain. He is also a professor in the departments of Physics and Neuroscience at Brown University. Dr Cooper was awarded the Comstock Prize by the National Academy of Science in 1968, the Nobel Prize in Physics in 1972, the Descartes Medal by the Academie de Paris in 1977, and the College de France Medal in 2000. He is a fellow of the American Physical Society, the American Academy of Arts and Sciences, the American Association for Advancement of Science, Phi Beta Kappa, and Sigma Xi. He is a member of the American Philosophical Society, the National Academy of Sciences, and the Society for Neuro-science. He is chairman of Sention, Inc., a company that specializes in products that enhance the process of memory storage.

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐This is an important and interesting book that reviews some basic ideas about “cortical plasticity”, which is the process that actually underlies intelligence and “mind”. Cooper and his colleagues have made useful contributions over a long period of time, and most of their key ideas are covered in this book. There is also an admirable attempt to link models to experimental data.But while they provide some important tools and ideas, they are very far from understanding their nominal topic. Partly this reflects their understandable attachment to their own pet idea, the famous “BCM” rule. This was originally intended to solve the standard problem of runaway synapse strengthening in a simple Hebb model (Oja came up with an even more elegant solution around the same time and place). But then they slowly realised that the nonlinear form of their rule also conferred useful sensitivity to input statistics that goes beyond the Oja model, and the book explains this advance quite nicely. But really there are 2 separate problems here: sensitivity to sophisticated statistics, and dynamical stabilisation, and it’s not clear that BCM is the uniquely best solution to either. Furthermore, attempts to provide a secure mechanistic basis for the BCM rule have not been very convincing, in part because one really needs to use a framework (“STDP”) that is much closer to biology.While the authors focus on pet solutions to relatively easy and obvious problems, they completely miss the elephant in the cortical room: “crosstalk” between synapses means that no real synapses can actually learn from higher-order statistics unless much of cortex is devoted to crosstalk-mitigation. One very attractive possibility is that most cortical circuitry is actually devoted to a “proofreading” operation, that allows the unprecedented synaptic accuracy that underlies powerful computation and learning (see […]). What matters is not the precise form of the learning rule, but its accuracy.

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