Literature DB >> 34516751

Spiking neural networks take control.

Travis DeWolf1.   

Abstract

Brain-inspired neural network architecture overcomes unsolved classical control theory problem for telerobotics.

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Mesh：

Year:  2021        PMID： 34516751     DOI： 10.1126/scirobotics.abk3268

Source DB:  PubMed          Journal:  Sci Robot        ISSN： 2470-9476


  3 in total

1.  Data-driven artificial and spiking neural networks for inverse kinematics in neurorobotics.

Authors:  Alex Volinski; Yuval Zaidel; Albert Shalumov; Travis DeWolf; Lazar Supic; Elishai Ezra Tsur
Journal:  Patterns (N Y)       Date:  2021-11-18

2.  Walking on the thin intersectional lines of disciplines.

Authors:  Elishai Ezra Tsur; Travis DeWolf; Lazar Supic
Journal:  Patterns (N Y)       Date:  2022-01-14

3.  Adaptive control of a wheelchair mounted robotic arm with neuromorphically integrated velocity readings and online-learning.

Authors:  Michael Ehrlich; Yuval Zaidel; Patrice L Weiss; Arie Melamed Yekel; Naomi Gefen; Lazar Supic; Elishai Ezra Tsur
Journal:  Front Neurosci       Date:  2022-09-29       Impact factor: 5.152
  3 in total

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