Accession Number:

ADA459682

Title:

Biologically Plausible Neural Model for the Recognition of Biological Motion and Actions

Descriptive Note:

Memo rept.

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB

Personal Author(s):

Report Date:

2002-08-01

Pagination or Media Count:

27.0

Abstract:

The visual recognition of complex movements and actions is crucial for communications and survival in many species. Remarkable sensitivity and robustness of biological motion perception have been demonstrated in psychophysical experiments. In recent years, neurons and cortical areas involved in action recognition have been identified in neurophysiological and imaging studies. However, the detailed neural mechanisms that underlie the recognition of such complex movement patterns remain largely unknown. This paper reviews the experimental results and summarizes them in terms of a biologically plausible neural model. The model is based on the key assumption that action recognition is based on learned prototypical patterns and exploits information from the ventral and dorsal pathway. The model makes specific predictions that motivate new experiments.

Subject Categories:

  • Cybernetics
  • Psychology
  • Anatomy and Physiology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE