Open Access
Scientific Reports, volume 13, issue 1, publication number 3997
Multitask computation through dynamics in recurrent spiking neural networks
Publication type: Journal Article
Publication date: 2023-03-10
Multidisciplinary
Abstract
In this work, inspired by cognitive neuroscience experiments, we propose recurrent spiking neural networks trained to perform multiple target tasks. These models are designed by considering neurocognitive activity as computational processes through dynamics. Trained by input–output examples, these spiking neural networks are reverse engineered to find the dynamic mechanisms that are fundamental to their performance. We show that considering multitasking and spiking within one system provides insightful ideas on the principles of neural computation.
Citations by journals
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1
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Communications in Computer and Information Science
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Communications in Computer and Information Science
1 publication, 16.67%
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Current Opinion in Behavioral Sciences
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Current Opinion in Behavioral Sciences
1 publication, 16.67%
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Scientific Reports
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Scientific Reports
1 publication, 16.67%
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Frontiers in Computational Neuroscience
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Frontiers in Computational Neuroscience
1 publication, 16.67%
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1
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Citations by publishers
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1
2
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Springer Nature
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Springer Nature
2 publications, 33.33%
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IEEE
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IEEE
1 publication, 16.67%
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Elsevier
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Elsevier
1 publication, 16.67%
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Frontiers Media S.A.
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Frontiers Media S.A.
1 publication, 16.67%
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1
2
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Pugavko M. M., Maslennikov O. V., NEKORKIN V. I. Multitask computation through dynamics in recurrent spiking neural networks // Scientific Reports. 2023. Vol. 13. No. 1. 3997
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Pugavko M. M., Maslennikov O. V., NEKORKIN V. I. Multitask computation through dynamics in recurrent spiking neural networks // Scientific Reports. 2023. Vol. 13. No. 1. 3997
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TY - JOUR
DO - 10.1038/s41598-023-31110-z
UR - https://doi.org/10.1038%2Fs41598-023-31110-z
TI - Multitask computation through dynamics in recurrent spiking neural networks
T2 - Scientific Reports
AU - Pugavko, Mechislav M.
AU - Maslennikov, Oleg V
AU - NEKORKIN, VLADIMIR I.
PY - 2023
DA - 2023/03/10 00:00:00
PB - Springer Nature
IS - 1
VL - 13
SN - 2045-2322
ER -
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@article{2023_Pugavko,
author = {Mechislav M. Pugavko and Oleg V Maslennikov and VLADIMIR I. NEKORKIN},
title = {Multitask computation through dynamics in recurrent spiking neural networks},
journal = {Scientific Reports},
year = {2023},
volume = {13},
publisher = {Springer Nature},
month = {mar},
url = {https://doi.org/10.1038%2Fs41598-023-31110-z},
number = {1},
doi = {10.1038/s41598-023-31110-z}
}
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