Spatiotemporal Information Processing Emulated by Multiterminal Neuro-Transistor Networks.

Clicks: 215
ID: 39453
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #65 of 80 articles by views in advanced materials (deerfield beach, fla)

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
All external sensory stimuli produce a spatiotemporal pattern of action potentials, which is transmitted to the biological neural system to be processed. The relative timing of synaptic spikes from different presynaptic neurons represents the features of the stimuli. A fundamental prerequisite in cortical information processing is the discrimination of different spatiotemporal input sequences. Here, capacitively coupled multiterminal oxide-based neuro-transistors are proposed for spatiotemporal information processing, mimicking the dendritic discriminability of different spatiotemporal input sequences. The experimental results demonstrate that such multiterminal neuromorphic devices can act as spatiotemporal information processing compartments for fundamental cortical computation. Also, as an example of spatiotemporal information processing, sound location functionality of the human brain is also emulated by constructing a simple artificial neural network based on such oxide-based multiterminal neuro-transistors.
Reference Key
he2019spatiotemporaladvanced Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors He, Yongli;Nie, Sha;Liu, Rui;Jiang, Shanshan;Shi, Yi;Wan, Qing;
Journal advanced materials (deerfield beach, fla)
Year 2019
DOI
10.1002/adma.201900903
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.