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Proceedings Paper

Building animats: neurobiomimetic approach for cognitive systems
Author(s): Jerome J. Braun; Marianne A. DeAngelus; Kate D. Fischl; Austin R. Hess; Danelle C. Shah
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Paper Abstract

This paper discusses selected aspects of our effort to implement rudimentary emulations of brain regions and their synaptic connectivity (a paradigm we refer to as neurobiomimetic), including in particular the Neurobiomimetic Cognitive Architecture Foundation Framework (NCAFF) we developed. Different instances of neurobiomimetic emulations are possible and we refer to those instances as animats. NCAFF addresses the overwhelming developmental challenge of implementing animats, separating animat-development process from the lower-level details. Approaches such as NCAFF enable feasible building of animats which, by emulating aspects of brain structure and processes, may constitute a particularly promising path to cognitive systems.

Paper Details

Date Published: 22 May 2014
PDF: 15 pages
Proc. SPIE 9121, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014, 91210M (22 May 2014); doi: 10.1117/12.2054606
Show Author Affiliations
Jerome J. Braun, MIT Lincoln Lab. (United States)
Marianne A. DeAngelus, MIT Lincoln Lab. (United States)
Kate D. Fischl, MIT Lincoln Lab. (United States)
Austin R. Hess, MIT Lincoln Lab. (United States)
Danelle C. Shah, MIT Lincoln Lab. (United States)


Published in SPIE Proceedings Vol. 9121:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014
Jerome J. Braun, Editor(s)

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