Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Alexey Leukhin"'
Publikováno v:
Frontiers in Chemistry, Vol 11 (2023)
This paper provides a conceptual roadmap for the use of hormonal bioinspired models in a broad range of AI, neuroengineering, or computational systems. The functional signaling nature of hormones provides an example of a reliable multidimensional inf
Externí odkaz:
https://doaj.org/article/68da3ac3b21b46f7ac274eb10c4e1eed
Autor:
Yulia Mikhailova, Anna Pozdeeva, Alina Suleimanova, Alexey Leukhin, Alexander Toschev, Timur Lukmanov, Elsa Fatyhova, Evgeni Magid, Igor Lavrov, Max Talanov
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
The effect of inhibitory management is usually underestimated in artificial control systems, using biological analogy. According to our hypothesis, the muscle hypertonus could be effectively compensated via stimulation by bio-plausible patterns. We p
Externí odkaz:
https://doaj.org/article/08f31aa5e83842449957f59144b6b75f
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Functional studies in the central nervous system are often conducted using anesthesia. While the dose-dependent effects of anesthesia on neuronal activity have been extensively characterized in adults, little is known about the effects of an
Externí odkaz:
https://doaj.org/article/9d250de676e1495e9a4e3074c01950ac
Autor:
Yuliya Mihaylova, Anna Pozdeeva, Alexey Leukhin, Alexander Toschev, Max Talanov, Jordi Vallverdú, Alina Suleimanova
Publikováno v:
Journal of Artificial Intelligence and Consciousness. 10:15-25
In this paper, we provide a brief description of currently existing neural interfaces such as a brain–machine interface, machine–brain interface and bidirectional brain–computer–brain interface. Nevertheless, our aim is not only to provide a
Autor:
Yulia Mikhailova, Anna Pozdeeva, Alina Suleimanova, Alexey Leukhin, Alexander Toschev, Timur Lukmanov, Elsa Fatykhova, Evgeni Magid, Igor Lavrov, Max Talanov
The inhibitory management effect is usually un- derestimated in artificial control systems, using biological anal- ogy. According to our hypothesis, the muscle hypertonus could be effectively compensated via stimulation by bio plausible patterns. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d67ddb013d2cb14b5bf3e37528aba6aa
https://doi.org/10.21203/rs.3.rs-1661671/v1
https://doi.org/10.21203/rs.3.rs-1661671/v1
Publikováno v:
BioNanoScience. 10:416-419
This work is dedicated to the creation and comparison of the simplified model of a neuron for the real-time processing in embedded bio-compatible devices. We propose bio-compatible model of a neuron inspired by works of Izhikevich (IEEE Transactions
Autor:
Max Talanov, Alina Suleimanova, Alexey Leukhin, Yulia Mikhailova, Alexander Toschev, Alena Militskova, Igor Lavrov, Evgeni Magid
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
BICA
In this paper we present the validation of the three-dimensional model of emotions by Hugo Lovheim the “cube of emotion” via neurosimulation in the NEST. We also present the extension of original “cube of emotion” with the bridge to computati
Autor:
Max Talanov, Alexander Toschev, Fail Gafarov, Alexey Leukhin, Sergey Ostapenko, Marat Gazizov, Jordi Vallverdú, Salvatore Distefano
Publikováno v:
BICA
This work aims at demonstrating that the neuromodulatory mechanisms that control the emotional states of mammals (specifically rat’s brains) can be represented and re-implemented in a computational model processed by a machine. In particular we spe
Publikováno v:
Springer Series in Cognitive and Neural Systems ISBN: 9783030031039
In this paper we present a new computational bio-inspired approach. We use the three-dimensional model of emotions created by the Hugo Lovheim “cube of emotions” and validated it via neurosimulation in NEST. We present a computational model that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b72803f008bef888099d4fb08f89e5b
https://doi.org/10.1007/978-3-030-03104-6_6
https://doi.org/10.1007/978-3-030-03104-6_6