The functional plausibility of topologically extended models of RBMs as hippocampal models

Masahiko Osawa, Michita Imai

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

The hippocampus has distinctive functional and structural properties. In this research, we utilize Restricted Boltzmann Machines (RBMs) based models inspired by distinctive structures found in hippocampus; neurogenesis in the dentate gyrus (DG) and recurrent connections in CA3. We review two types of topologically extended models of RBMs inspired by hippocampus. In one type of models, units are dynamically added during the training phase, and in the other type, connections are partly recursive. We analyzed these models both as separate models and combined model. The two types of the proposed models implement functions that the hippocampus has but the classical RBMs don't. Furthermore, by combining the two proposed models, memorization of chronologically ordered data and memory reconstruction tasks' performance improved significantly.

Original languageEnglish
Pages (from-to)341-346
Number of pages6
JournalProcedia Computer Science
Volume123
DOIs
Publication statusPublished - 2018 Jan 1
Event8th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2017 - Moscow, Russian Federation
Duration: 2017 Aug 12017 Aug 6

Keywords

  • Computational neuroscience
  • Hippocampus
  • Restricted Boltzmann machine

ASJC Scopus subject areas

  • Computer Science(all)

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