Linear Systems Theoretic Approach to Interpretation of Spatial and Temporal Weights in Compact CNNs: Monte-Carlo Study

Artur Petrosyan, Mikhail Lebedev, Alexey Ossadtchi

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы для конференциирецензирование

Аннотация

Interpretation of the neural networks architectures for decoding the signals of the brain usually reduced to the analysis of spatial and temporal weights. We propose a theoretically justified method of their interpretation within the simple architecture based on a priori knowledge of the subject area. This architecture is comparable in decoding quality to the winner of the BCI IV competition and allows for automatic engineering of physiologically meaningful features. To demonstrate the operation of the algorithm, we performed Monte Carlo simulations and received a significant improvement in the restoration of patterns for different noise levels and also investigated the relation between the decoding quality and patterns reconstruction fidelity.

Язык оригиналаАнглийский
Название основной публикацииBrain-Inspired Cognitive Architectures for Artificial Intelligence
Подзаголовок основной публикацииBICA*AI 2020 - Proceedings of the 11th Annual Meeting of the BICA Society
РедакторыAlexei V. Samsonovich, Ricardo R. Gudwin, Alexandre da Simões
ИздательSpringer Science and Business Media Deutschland GmbH
Страницы365-370
Число страниц6
ISBN (печатное издание)9783030655952
DOI
СостояниеОпубликовано - 2021
Опубликовано для внешнего пользованияДа
Событие11th Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI 2020 - Natal, Бразилия
Продолжительность: 10 нояб. 202014 нояб. 2020

Серия публикаций

НазваниеAdvances in Intelligent Systems and Computing
Том1310
ISSN (печатное издание)2194-5357
ISSN (электронное издание)2194-5365

Конференция

Конференция11th Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI 2020
Страна/TерриторияБразилия
ГородNatal
Период10/11/2014/11/20

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