Affordable Access

deepdyve-link
Publisher Website

Network Design and the Brain.

Authors
  • Navlakha, Saket1
  • Bar-Joseph, Ziv2
  • Barth, Alison L3
  • 1 The Salk Institute for Biological Studies, Integrative Biology Laboratory, La Jolla, CA 92037, USA. Electronic address: [email protected]
  • 2 Carnegie Mellon University, Machine Learning Department, Computational Biology Department, Pittsburgh, PA 15213, USA.
  • 3 Carnegie Mellon University, Center for the Neural Basis of Cognition, Department of Biological Sciences, Pittsburgh, PA 15213, USA.
Type
Published Article
Journal
Trends in cognitive sciences
Publication Date
Oct 17, 2017
Identifiers
DOI: 10.1016/j.tics.2017.09.012
PMID: 29054336
Source
Medline
License
Unknown

Abstract

Neural circuits have evolved to accommodate similar information processing challenges as those faced by engineered systems. Here, we compare neural versus engineering strategies for constructing networks. During circuit development, synapses are overproduced and then pruned back over time, whereas in engineered networks, connections are initially sparse and are then added over time. We provide a computational perspective on these two different approaches, including discussion of how and why they are used, insights that one can provide the other, and areas for future joint investigation. By thinking algorithmically about the goals, constraints, and optimization principles used by neural circuits, we can develop brain-derived strategies for enhancing network design, while also stimulating experimental hypotheses about circuit development and function.

Report this publication

Statistics

Seen <100 times