In:
physica status solidi (b), Wiley, Vol. 259, No. 3 ( 2022-03)
Abstract:
Herein, an improved memristor model with a controllable forgetting rate due to ion diffusion is proposed. A synaptic learning circuit based on this model is simulated with PSpice to complete synaptic bionics. First, the pulse pair superposition method, which is consistent with biological phenomena, is used to verify spike timing‐dependent plasticity (STDP); this proves that the modified model simulates biological synaptic behavior. Second, a habituation circuit constructed from a memristor and an analog behavioral modeling (ABM) device is designed to realize nonassociative learning. Finally, a new circuit with the improved model is built for Pavlov's associative memory implementation, simplifying the complexity of the circuit. The improved model can better realize the basic learning and memory modes of organisms and thus provide more brain‐inspired computing options.
Type of Medium:
Online Resource
ISSN:
0370-1972
,
1521-3951
DOI:
10.1002/pssb.202100379
Language:
English
Publisher:
Wiley
Publication Date:
2022
detail.hit.zdb_id:
208851-4
detail.hit.zdb_id:
1481096-7
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