Physically defined long-term and short-term synapses for the development of reconfigurable analog-type operators capable of performing health care tasks.

ABSTRACT: Extracting valuable information from the overflowing data is a critical yet challenging task. Dealing with high volumes of biometric data, which are often unstructured, nonstatic, and ambiguous, requires extensive computer resources and data specialists. Emerging neuromorphic computing technologies that mimic the data processing properties of biological neural networks offer a promising solution for handling overflowing data. Here, the development of an electrolyte-gated organic transistor featuring a selective transition from short-term to long-term plasticity of the biological synapse is presented. The memory behaviors of the synaptic device were precisely modulated by restricting ion penetration through an organic channel via photochemical reactions of the cross-linking molecules. Furth

SUBMITTER: Choi Y 

PROVIDER: S-EPMC10321737 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature