Research of a Neuron Model with Signal Accumulation for Motion Detection

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Research of a Neuron Model with Signal Accumulation for Motion Detection. / Kugaevskikh, Alexander.

Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021. ed. / Victor Kazantsev; Sergey Lobov; Susanna Gordleeva; Natalia Shusharina. Institute of Electrical and Electronics Engineers Inc., 2021. p. 46-49 (Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Kugaevskikh, A 2021, Research of a Neuron Model with Signal Accumulation for Motion Detection. in V Kazantsev, S Lobov, S Gordleeva & N Shusharina (eds), Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021. Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021, Institute of Electrical and Electronics Engineers Inc., pp. 46-49, 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021, Kaliningrad, Russian Federation, 13.09.2021. https://doi.org/10.1109/CNN53494.2021.9580340

APA

Kugaevskikh, A. (2021). Research of a Neuron Model with Signal Accumulation for Motion Detection. In V. Kazantsev, S. Lobov, S. Gordleeva, & N. Shusharina (Eds.), Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021 (pp. 46-49). (Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CNN53494.2021.9580340

Vancouver

Kugaevskikh A. Research of a Neuron Model with Signal Accumulation for Motion Detection. In Kazantsev V, Lobov S, Gordleeva S, Shusharina N, editors, Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 46-49. (Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021). doi: 10.1109/CNN53494.2021.9580340

Author

Kugaevskikh, Alexander. / Research of a Neuron Model with Signal Accumulation for Motion Detection. Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021. editor / Victor Kazantsev ; Sergey Lobov ; Susanna Gordleeva ; Natalia Shusharina. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 46-49 (Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021).

BibTeX

@inproceedings{733ba5d096f04af6bf947777e989cb4e,

title = "Research of a Neuron Model with Signal Accumulation for Motion Detection",

abstract = "The paper presents a new model of the MT-neuron (Middle temporal area neuron), which allows detecting movement and determining its direction and speed, without using recurrent connection. The model is based on the accumulation of the signal and is organized using a space-time vector that sets the weight coefficients. Despite the combinatorial redundancy, it is assumed that the model is more resistant to glare in comparison with the optical flow.",

keywords = "Bio-inspired model, Motion detection, MT neuron, Neural network",

author = "Alexander Kugaevskikh",

note = "Funding Information: This paper was financially supported by the Russian Foundation for Basic Research (Grant No. 19-57-45006). Publisher Copyright: {\textcopyright} 2021 IEEE.; 3rd International Conference {"}Neurotechnologies and Neurointerfaces{"}, CNN 2021 ; Conference date: 13-09-2021 Through 15-09-2021",

year = "2021",

doi = "10.1109/CNN53494.2021.9580340",

language = "English",

isbn = "9781665424745",

series = "Proceedings - 3rd International Conference {"}Neurotechnologies and Neurointerfaces{"}, CNN 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "46--49",

editor = "Victor Kazantsev and Sergey Lobov and Susanna Gordleeva and Natalia Shusharina",

booktitle = "Proceedings - 3rd International Conference {"}Neurotechnologies and Neurointerfaces{"}, CNN 2021",

address = "United States",

}

RIS

TY - GEN

T1 - Research of a Neuron Model with Signal Accumulation for Motion Detection

AU - Kugaevskikh, Alexander

PY - 2021

Y1 - 2021

N2 - The paper presents a new model of the MT-neuron (Middle temporal area neuron), which allows detecting movement and determining its direction and speed, without using recurrent connection. The model is based on the accumulation of the signal and is organized using a space-time vector that sets the weight coefficients. Despite the combinatorial redundancy, it is assumed that the model is more resistant to glare in comparison with the optical flow.

AB - The paper presents a new model of the MT-neuron (Middle temporal area neuron), which allows detecting movement and determining its direction and speed, without using recurrent connection. The model is based on the accumulation of the signal and is organized using a space-time vector that sets the weight coefficients. Despite the combinatorial redundancy, it is assumed that the model is more resistant to glare in comparison with the optical flow.

KW - Bio-inspired model

KW - Motion detection

KW - MT neuron

KW - Neural network

UR - http://www.scopus.com/inward/record.url?scp=85126222684&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/4a2bb4eb-9b28-3795-bccf-cf7f808e92e0/

U2 - 10.1109/CNN53494.2021.9580340

DO - 10.1109/CNN53494.2021.9580340

M3 - Conference contribution

AN - SCOPUS:85126222684

SN - 9781665424745

T3 - Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021

SP - 46

EP - 49

BT - Proceedings - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021

A2 - Kazantsev, Victor

A2 - Lobov, Sergey

A2 - Gordleeva, Susanna

A2 - Shusharina, Natalia

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference "Neurotechnologies and Neurointerfaces", CNN 2021

Y2 - 13 September 2021 through 15 September 2021

ER -

ID: 35688708