Abstract

In this paper, we propose a complex neuro-memristive synapse that exhibits the physiological acts of synaptic potentiation and depression of the human-brain. Specifically, the proposed neuromorphic synapse efficiently imitates the synaptic plasticity, especially long-term potentiation (LTP) and depression (LTD), and short-term facilitation (STF) and depression (STD), phenomena of a biological synapse. Similar to biological synapse, the short- or long-term potentiation (STF and LTP) or depression (STD or LTD) of the memristive synapse are distinguished on the basis of time or repetition of input cycles. The proposed synapse is also designed to exhibit the effect of reuptake and neurotransmitters diffusion processes of a bio-synapse. In addition, it exhibits the distinct bio-realistic attributes, i.e., strong stimulation, exponentially decaying conductance trace of synapse, and voltage dependent synaptic responses, of a neuron. The neuro-memristive synapse is designed in SPICE and its bio-realistic functionalities are demonstrated via various simulations.

Highlights

  • Division of Electronics and Information Engineering and Core Research Institute of Intelligent Robots, Division of Electronics Engineering and Core Research Institute of Intelligent Robots, Jeonbuk National University, Jeonju 567-54896, Korea

  • Memristor is regarded as one of the most potential candidates for designing neuromorphic ICs due to its unique features of biosynapse, such as operation, low energy consumption, multiple-state operation, impressive scalability, and complementary metal oxide semiconductor (CMOS) compatibility [16]. Inspired with such technological advances, in this literature, we propose a complex neuro-memristive synapse that exhibits the physiological acts of synaptic plasticity of human brain

  • The bio-realistic features of the proposed neuro-memristive synapse are verified with various SPICE simulations

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Summary

Neuronal Transmission and Synaptic Plasticity

Electrically excitable neurons or cells are transmitting information via synapses. This activates the postsynaptic receptors and leads to the opening or closing of ligand-gated ion channels in post cell. Unlike STF, LTP persistently strengthens the synapse depending upon the recent patterns of synaptic activity It produces a long-lasting synaptic enhancement between two neurons by secreting an enormous number of neurotransmitters in the synaptic cleft [26]. LTD refers to an activity-dependent reduction in the synaptic efficacy that lasts hours or longer based on the patterns of stimulation It selectively weakens the synapses disregard of presynaptic stimulation, and builds a productive use of synaptic strengthening caused by LTP. It facilitates encoding of new information by stabilizing the neuronal circuit [27]

Artificial Neuro-Memristive Synapse
Results and Simulations
Long-Term Synaptic Plasticity
Short-Term Synaptic Plasticity
Strong Stimulation Response
Concluding Remarks
Full Text
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