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Flexible Artificial Synaptic Devices Based on Collagen from Fish Protein with Spike‐Timing‐Dependent Plasticity
Author(s) -
RaeisHosseini Niloufar,
Park Youngjun,
Lee JangSik
Publication year - 2018
Publication title -
advanced functional materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.069
H-Index - 322
eISSN - 1616-3028
pISSN - 1616-301X
DOI - 10.1002/adfm.201800553
Subject(s) - neuromorphic engineering , materials science , synaptic plasticity , neural facilitation , excitatory postsynaptic potential , postsynaptic current , spike timing dependent plasticity , synapse , nonsynaptic plasticity , long term potentiation , neuroscience , postsynaptic potential , plasticity , computer science , metaplasticity , artificial neural network , artificial intelligence , inhibitory postsynaptic potential , biology , biochemistry , receptor , composite material
Neuromorphic and cognitive computing with a capability of analyzing complicated information is explored as a new paradigm of intelligent systems. An implementation of a renewable material as an essential building block of an artificial synaptic device is suggested and a flexible and transparent synaptic device based on collagen extracted from fish skin is demonstrated. This device exhibits essential synaptic behaviors including analog memory characteristics, excitatory postsynaptic current, and paired‐pulse facilitation as short‐term plasticity. The brain‐inspired electronic synapse undergoes incremental potentiation and depression when flat or bent. The device emulates spike‐timing‐dependent plasticity when stimulated by engineered pre‐ and post‐neuron spikes with the appropriate time difference between the imposed pulses. The proposed synaptic device has the advantage of being biocompatible owing to use of Mg electrodes and collagen as a naturally abundant protein. This device has a potential to be used in flexible and implantable neuromorphic systems in the future.