Brain Computation: A Computer Science Perspective
W. Maass, C. H. Papadimitriou, S. Vempala, and R. Legenstein
The brain carries out tasks that are very demanding from a computational
perspective, apparently powered by a mere 20 Watts. This fact has intrigued
computer scientists for many decades, and is currently drawing many of them
to the quest of acquiring a computational understanding of the brain. Yet, at
present there is no productive interaction of computer scientists with
neuroscientists in this quest. Research in computational neuroscience is
advancing at a rapid pace, and the resulting abundance of facts and models
makes it increasingly difficult for scientists from other fields to engage in
brain research. The goal of this article is to provide -- along with a few
words of caution -- background, up-to-date references on data and models in
neuroscience, and open problems that appear to provide good opportunities for
theoretical computer scientists to enter the fascinating field of brain
Reference: W. Maass, C. H. Papadimitriou, S. Vempala, and R. Legenstein.
Brain computation: A computer science perspective.
Draft of an invited contribution to Springer Lecture Notes in Computer
Science, vol. 10000, 2017.