Building animats: neurobiomimetic approach for cognitive systems

Jerome J. Braun; Marianne A. DeAngelus; Kate D. Fischl; Austin R. Hess; Danelle C. Shah

doi:10.1117/12.2054606

22 May 2014 Building animats: neurobiomimetic approach for cognitive systems

Jerome J. Braun, Marianne A. DeAngelus, Kate D. Fischl, Austin R. Hess, Danelle C. Shah

Proceedings Volume 9121, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014; 91210M (2014) https://doi.org/10.1117/12.2054606
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Jerome J. Braun, Marianne A. DeAngelus, Kate D. Fischl, Austin R. Hess, and Danelle C. Shah "Building animats: neurobiomimetic approach for cognitive systems", Proc. SPIE 9121, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014, 91210M (22 May 2014); https://doi.org/10.1117/12.2054606

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