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Living machinesA handbook of research in biomimetics and biohybrid systems$
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Tony J. Prescott, Nathan Lepora, and Paul F.M.J Verschure

Print publication date: 2018

Print ISBN-13: 9780199674923

Published to Oxford Scholarship Online: June 2018

DOI: 10.1093/oso/9780199674923.001.0001

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Perception

Perception

Chapter:
(p.227) Chapter 25 Perception
Source:
Living machines
Author(s):

Joel Z. Leibo

Tomaso Poggio

Publisher:
Oxford University Press
DOI:10.1093/oso/9780199674923.003.0025

This chapter provides an overview of biological perceptual systems and their underlying computational principles focusing on the sensory sheets of the retina and cochlea and exploring how complex feature detection emerges by combining simple feature detectors in a hierarchical fashion. We also explore how the microcircuits of the neocortex implement such schemes pointing out similarities to progress in the field of machine vision driven deep learning algorithms. We see signs that engineered systems are catching up with the brain. For example, vision-based pedestrian detection systems are now accurate enough to be installed as safety devices in (for now) human-driven vehicles and the speech recognition systems embedded in smartphones have become increasingly impressive. While not being entirely biologically based, we note that computational neuroscience, as described in this chapter, makes up a considerable portion of such systems’ intellectual pedigree.

Keywords:   vision, perception, primary sensory physiology, computational neuroscience, recognition, detection

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