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5th International Conference Neurotechnologies and Neurointerfaces, CNN 2023

作者： Stasenko, Sergey Lobachevsky State University of Nizhny Novgorod Laboratory of Advanced Methods for High-dimensional Data Analysis Nizhny Novgorod Russia

ISBN: (纸本)9798350344059

This study presents a mathematical model that combines the average activity of excitatory neurons, neuron-astrocyte interactions, and virus concentration dynamics to examine the effects of virus infection on bursting generation. Our results demonstrate that astrocyte infection hinders gliotransmitter release, potentially leading to the termination of rhythmogenesis. Disruptions in brain rhythmogenesis can result in cognitive function disorders, including memory impairment. The proposed model serves as a crucial theoretical tool for investigating the underlying mechanisms of rhythmogenesis disruption. © 2023 IEEE.

关键词： Neurons

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Registration of the human disadaptation using machine-learning approach 3

Registration of the human disadaptation using machine-learni...

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3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021

作者： Shemagina, Olga Stasenko, Sergey Evgeny, Eremin Yakhno, Vladimir Parin, Sergey Polevaya, Sofia Laboratory of autowave processes Institute of Applied Physics of RAS Nizhny Novgorod Russia Department of Neurotechnology Laboratory of advanced methods for high-dimensional data analysis Scientific and Educational Mathematical center"Mathematics of Future Thecnnology" Nizhny Novgorod State University Nizhny Novgorod Russia Laboratory of advanced methods for high-dimensional data analysis Nizhny Novgorod State University Nizhny Novgorod Russia Department of Psychophysiology Laboratory of advanced methods for high-dimensional data analysis Nizhny Novgorod State University Nizhny Novgorod Russia

In this study we applyed machine-learning approach for registration of the human disadaptation. We used the method of determining a subject level of emotional disadaptation and recording of cardiorhythmography. We sho... 详细信息

ISBN: (纸本)9781665424745

关键词： Electrocardiograms

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Biomorphic artificial intelligence system for pattern recognition problems with adaptive error correction 4

Biomorphic artificial intelligence system for pattern recogn...

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4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022

作者： Stasenko, Sergey Telnykh, Alexander Shemagina, Olga Nuidel, Irina Kovalchuk, Andrey Yakhno, Vladimir Laboratory of Advanced Methods for High-dimensional Data Analysis Lobachevsky University Department of Neurotechnology Nizhny Novgorod Russia Institute of Applied Physics Ras Laboratory of Autowave Processes Nizhny Novgorod Russia

ISBN: (数字)9781665463294

ISBN: (纸本)9781665463294

In this study, we have developed a biomorphic artificial intelligence system for pattern recognition tasks with adaptive error correction. The system imitates the process of hierarchical information processing inherent in living systems, for example, information processing in the visual cortex of the brain. Also, one of the properties that the developed system has is the correction of errors accumulated in the process of interaction with the outside world. © 2022 IEEE.

关键词： Error correction

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Registration of the post-COVID state using machine-learning approach 4

Registration of the post-COVID state using machine-learning ...

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4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022

作者： Stasenko, Sergey Eremin, Evgeny Kovalchuk, Andrey Zarechnova, Natalya Tsirkova, Maria Permyakov, Sergey Parin, Sergey Polevaya, Sofia Laboratory of Advanced Methods for High-dimensional Data Analysis Nizhny Novgorod State University Department of Neurotechnology Nizhny Novgorod Russia Institute of Applied Physics Ras Laboratory of Autowave Processes Nizhny Novgorod Russia Nizhny Novgorod State University Laboratory of Advanced Methods for High-dimensional Data Analysis Nizhny Novgorod Russia Privolzhsky District Medical Center Nizhny Novgorod Russia Nizhny Novgorod State University Department of Psychophysiology Nizhny Novgorod Russia

In this study we applyed machine-learning approach for registration of the post-COVID state. During the study, a marker of the post-COVID state of a person was found in the electrocardiogram data. We have shown that t... 详细信息

ISBN: (数字)9781665463294

ISBN: (纸本)9781665463294

关键词： Electrocardiograms

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Study of the influence of astrocytic modulation of STDP on the sensitivity of synapses to spatiotemporal patterns 6

Study of the influence of astrocytic modulation of STDP on t...

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6th International Conference "Neurotechnologies and Neurointerfaces", CNN 2024

作者： Lebedev, Andrey A. Levanova, Tatiana A. Kazantsev, Victor B. Stasenko, Sergey V. Laboratory of advanced methods for high-dimensional data analysis Lobachevsky University Nizhny Novgorod Russia Scientific -educational mathematical center"Mathematics of future technologies" Lobachevsky University Nizhny Novgorod Russia Laboratory of neurobiomorphic technologies Moscow Institute of Physics and Technology Moscow Russia

In this article, we propose a novel model for the regulation of neuronal network activity during astrocytic modulation of synaptic plasticity. The work also examines the influence of astrocytic modulation of STDP on t... 详细信息

ISBN: (纸本)9798350390926

关键词： Neurons

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Mean-Field Model of Glia-Mediated Appearance of Brain Rhythms in Normal and Pathological Conditions 5

Mean-Field Model of Glia-Mediated Appearance of Brain Rhythm...

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5th International Conference Neurotechnologies and Neurointerfaces, CNN 2023

作者： Stasenko, Sergey V. Levanova, Tatiana Lobachevsky State University of Nizhny Novgorod Laboratory of Advanced Methods for High-dimensional Data Analysis Nizhny Novgorod Russia Moscow Institute of Physics and Technology Laboratory of Neurobiomorphic Technologies Moscow Russia Lobachevsky State University of Nizhny Novgorod Control Theory Department Nizhny Novgorod Russia

ISBN: (纸本)9798350344059

The mean-field model of glia-mediated brain rhythms presents a theoretical framework that investigates the regulatory role of glial cells in neuronal activity and the generation of brain rhythms under normal and pathological conditions. Within this model, glial cells influence neuronal excitability through the release of gliotransmitters. When the functions of glial cells are compromised, such as during infection with the Covid-19 virus, oscillations in the activity of neuron populations are disrupted, highlighting the critical contribution of glial cells to brain dynamics. © 2023 IEEE.

关键词： Neurons

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Mean-field model of tetrapartite synapse 4

Mean-field model of tetrapartite synapse

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4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022

作者： Stasenko, Sergey Kazantsev, Victor Laboratory of Advanced Methods for High-dimensional Data Analysis Lobachevsky University Nizhny Novgorod Russia Laboratory of Autowave Processes Institute of Applied Physics Ras Nizhny Novgorod Russia Neurotechnology Department Lobachevsky University Nizhny Novgorod Russia Immanuel Kant Baltic Federal University Kaliningrad Russia

ISBN: (数字)9781665463294

ISBN: (纸本)9781665463294

The study of the mechanisms of occurrence and control of bursting activity is an important task of modern neurodynamics. Bursting activity underlies the cognitive functions of the brain and is associated with learning and memory. In this paper, a mean-field model of a tetrapartite synapse is proposed, which considers extrasynaptic mechanisms of regulation of rhythmogenesis in the brain. © 2022 IEEE.

关键词： Brain

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3D model of bursting activity generation 4

3D model of bursting activity generation

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4th International Conference "Neurotechnologies and Neurointerfaces", CNN 2022

作者： Stasenko, Sergey Kazantsev, Victor Lobachevsky University Laboratory of Advanced Methods for High-dimensional Data Analysis Nizhny Novgorod Russia Institute of Applied Physics Ras Laboratory of Autowave Processes Nizhny Novgorod Russia Lobachevsky University Neurotechnology Department Nizhny Novgorod Russia Immanuel Kan Baltic Federal University Kaliningrad Russia

ISBN: (数字)9781665463294

ISBN: (纸本)9781665463294

From the standpoint of neurodynamics, the gener-ation of bursts in populations of neurons has been studied in depth, but the extrasynaptic mechanisms of generation remain practically unstudied. We propose a computationally efficient tripartite synapse model that demonstrates the formation of burst dynamics of a neural network. © 2022 IEEE.

关键词： 3D modeling

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Pruning coupled with learning, ensembles of minimal neural networks, and future of XAI

arXiv

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arXiv 2020年

作者： Gorban, Alexander N. Mirkes, Evgeny M. Department of Mathematics University of Leicester Leicester United Kingdom Laboratory of Advanced Methods for High-dimensional Data Analysis Lobachevsky State University Nizhny Novgorod Russia

Pruning coupled with learning aims to optimize the neural network (NN) structure for solving specific problems. This optimization can be used for various purposes: to prevent overfitting, to save resources for implementation and training, to provide explainability of the trained NN, and many others. The minimal structure that cannot be pruned further is not unique. Ensemble of minimal structures can be used as a committee of intellectual agents that solves problems by voting. Each minimal NN presents an "empirical knowledge" about the problem and can be verbalized. The non-uniqueness of such knowledge extracted from data is an important property of data-driven Artificial Intelligence (AI). In this work, we review an approach to pruning based on the principle: What controls training should control pruning. This principle is expected to work both for artificial NN and for selection and modification of important synaptic contacts in brain. In back-propagation artificial NN learning is controlled by the gradient of loss functions. Therefore, the first order sensitivity indicators are used for pruning and the algorithms based on these indicators are reviewed. The notion of logically transparent NN was introduced. The approach was illustrated on the problem of political forecasting: predicting the results of the US presidential election. Eight minimal NN were produced that give different forecasting algorithms. The non-uniqueness of solution can be utilised by creation of expert panels (committee). Another use of NN pluralism is to identify areas of input signals where further data collection is most useful. In conclusion, we discuss the possible future of widely advertised XAI program. © 2020, CC BY.

关键词： Forecasting

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Study of the influence of macroparameters of a spiking neural network on the quality of image recognition 6

Study of the influence of macroparameters of a spiking neura...

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6th International Conference "Neurotechnologies and Neurointerfaces", CNN 2024

作者： Stasenko, Sergey V. Kazantsev, Victor B. Lebedev, Andrey A. Levanova, Tatiana A. Scientific -educational mathematical center"Mathematics of future technologies" Lobachevsky University Nizhny Novgorod Russia Scientific -educational mathematical center"Mathematics of future technologies" Lobachevsky University Nizhny Novgorod Russia Laboratory of neurobiomorphic technologies Moscow Institute of Physics and Technology Moscow Russia Laboratory of advanced methods for high-dimensional data analysis Lobachevsky University Nizhny Novgorod Russia

ISBN: (纸本)9798350390926

In this work, we conducted a study on the influence of macroparameters of a spiking neural network model with classical synaptic plasticity on the spatiotemporal coding of images for a recognition task. The new image feature space represents the average number of spikes as a measure of the neural network’s response to a sensory stimulus. Spike timing-dependent synaptic plasticity (STDP) is considered a form of synaptic plasticity. Using the MNIST database, we studied the influence of model macroparameters on recognition performance. The macroparameters are the number of neurons in the model layers and the initial values of synaptic weights in the layer with STDP. The results revealed the values of macroparameters that provide better image recognition. ©2024 IEEE.

关键词： Neural network models

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