Journal
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
Volume 30, Issue 11, Pages 3458-3470Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNNLS.2019.2892385
Keywords
Neurotransmitters; Synapses; Neurons; Chemicals; Ions; Memristors; Action potential (AP); artificial synapse; chemical synaptic transmission; long-term potentiation (LTP); memristive system; memristor; short-term facilitation (STF); synaptic plasticity
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Funding
- National Research Foundation of Korea (NRF) - Korea Government [NRF-2016R1A2B4015514]
- National Research Foundation of Korea - Ministry of Science and ICT through the Korea Research Fellowship Program [NRF-2015H1D3A1062316]
- U.S. Air Force Office of Scientific Research [FA9550-18-1-0016]
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In this paper, a memristive artificial neural circuit imitating the excitatory chemical synaptic transmission of biological synapse is designed. The proposed memristor-based neural circuit exhibits synaptic plasticity, one of the important neurochemical foundations for learning and memory, which is demonstrated via the efficient imitation of short-term facilitation and long-term potentiation. Moreover, the memristive artificial circuit also mimics the distinct biological attributes of strong stimulation and deficient synthesis of neurotransmitters. The proposed artificial neural model is designed in SPICE, and the biological functionalities are demonstrated via various simulations. The simulation results obtained with the proposed artificial synapse are similar to the biological features of chemical synaptic transmission and synaptic plasticity.
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