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A Spiking Neural Network Based on Thalamo–Cortical Neurons for Self–Learning Agent Applications Cover

A Spiking Neural Network Based on Thalamo–Cortical Neurons for Self–Learning Agent Applications

International Journal of Applied Mathematics and Computer Science
Volume 34 (2024): Issue 3 (September 2024)
By: Damian Huderek,  Szymon Szczęsny,  Paweł Pietrzak,  Raul Rato and  Łukasz Przyborowski  
Open Access
|Oct 2024

Authors

Damian Huderek

Faculty of Computing and Telecommunications, Poznań University of Technology, Poznań, Poland

Szymon Szczęsny

szymon.szczesny@put.poznan.pl

Faculty of Computing and Telecommunications, Poznań University of Technology, Poznań, Poland

Paweł Pietrzak

Faculty of Computing and Telecommunications, Poznań University of Technology, Poznań, Poland

Raul Rato

Department of Electrical and Computer Engineering, NOVA University of Lisbon, Caparica, Portugal

Łukasz Przyborowski

Faculty of Computing and Telecommunications, Poznań University of Technology, Poznań, Poland
DOI: https://doi.org/10.61822/amcs-2024-0033 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 467 - 483
Submitted on: Nov 6, 2023
Accepted on: Jun 9, 2024
Published on: Oct 1, 2024
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
self-learning systems,
classification,
spiking neural networks,
feature recognition,
learning by routing
Related subjects:
Mathematics,
Applied mathematics

© 2024 Damian Huderek, Szymon Szczęsny, Paweł Pietrzak, Raul Rato, Łukasz Przyborowski, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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