• DocumentCode
    3430354
  • Title

    A hippocampus CA3 spiking neural network model for storage and retrieval of sequential memory

  • Author

    Chin Hiong Tan ; Huajin Tang ; Kay Chen Tan ; Miaolong Yuan

  • Author_Institution
    Inst. for Infocomm Res. (I2R), Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore
  • fYear
    2013
  • fDate
    12-15 Nov. 2013
  • Firstpage
    134
  • Lastpage
    139
  • Abstract
    A key functional role of the hippocampus is the formation of associative memories. Sequential memory, which is a form of hetero-associative memory, is inherent to human intelligence and commonly used in daily task such as typing and driving. Due to its numerous strong recurrent connections, the hippocampus CA3 region has been hypothesized to play a crucial role in the formation of sequential memory. In this paper, we demonstrate a dual network model of the hippocampus CA3 region to realize the storage and retrieval of sequential memory. The CA3 model is implemented using bio-realistic spiking neural networks based on the spike response neuron model. Detailed processes of storage, learning, synaptic modification and retrieval of sequential memory are demonstrated in simulations.
  • Keywords
    bioelectric phenomena; content-addressable storage; neural nets; psychology; associative memory formation; bio-realistic spiking neural networks; dual-network model; hetero-associative memory; hippocampus CA3 spiking neural network model; human intelligence; learning process; recurrent connections; sequential memory retrieval process; sequential memory storage process; spike response neuron model; synaptic modification process; Biological neural networks; Biological system modeling; Computational modeling; Computer architecture; Hippocampus; Microprocessors; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems (CIS), IEEE Conference on
  • Conference_Location
    Manila
  • ISSN
    2326-8123
  • Print_ISBN
    978-1-4799-1072-4
  • Type

    conf

  • DOI
    10.1109/ICCIS.2013.6751592
  • Filename
    6751592