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The Computational Brain$
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Patricia S. Churchland and Terrence J. Sejnowski

Print publication date: 2016

Print ISBN-13: 9780262533393

Published to MIT Press Scholarship Online: January 2018

DOI: 10.7551/mitpress/9780262533393.001.0001

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Representing the World

Representing the World

Chapter:
(p.141) 4 Representing the World
Source:
The Computational Brain
Author(s):

Patricia S. Churchland

Terrence J. Sejnowski

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262533393.003.0004

This chapter explores the neurobiology of representations, and more specifically how nervous systems represent in the occurrent sense. It first provides an overview of the basic anatomy and physiology of the mammalian visual system before discussing how neurons encode information by drawing on the comparison between “grandmother” coding and distributed coding. In particular, it considers vector coding vs. local coding and the conceptual fecundity of “state space,” along with the question of whether nervous systems honor at all the distinction between vectors of activation and matrices for processing. The chapter proceeds by analyzing the shape-from-shading model, computational models of stereo vision, hyperacuity, and vector averaging.

Keywords:   neurobiology, nervous systems, mammalian visual system, neurons, vector coding, local coding, shape-from-shading model, stereo vision, hyperacuity, vector averaging

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