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Motion Selectivity of the Local Filed Potentials in the Primary Visual Cortex of Rats: A Machine Learning Approach

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Abstract

Using rodents as a model of physiological vision studies requires adequate information about their visual cortex. Although the primary visual cortex of rats has different sub-regions, there are few studies on the different response patterns of these sub-regions. In this study, we recorded the local field potentials (LFPs) from sub-regions of the primary visual cortex (V1) of anesthetized rats. We used random dots patterns as moving stimuli presented in random sequences. Then we used machine learning methods to decode the direction and speed of the stimuli from the recorded signals. Our results revealed that there are different patterns of responses to motion stimuli across sub-regions. Although the decoding results using LFPs were not high, they were enhanced by moving to the lateral sub-regions of the V1. Our results suggested that the location of the recording areas impact reaction time, the pattern of the responses in time- and frequency- domains, and encoding the motion stimuli.

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Data Availability

The datasets generated for this study are available upon a reasonable request to the corresponding author.

Abbreviations

LFP:

Local Field Potential

V1:

Primary Visual Cortex

V1M:

Monocular V1

V1BM:

Binocular- monocular V1

V1B:

Binocular V1

NIH:

National Institute of Health

LCD:

Liquid Crystal Display

EMVP:

Envelopes' Maximum Value Points

USART:

Universal asynchronous receiver-transmitter

MI:

Mutual Information

KNN:

K-Nearest Neighbor

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Acknowledgements

The authors would like to thank Alavie Mirfathollahi for helping in preparing the histology of the animals and Ali Rahimpour for the language editing of the paper.

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Authors and Affiliations

  1. Neuroscience and Neuroengineering Research Lab, Department of Biomedical Engineering, School of Electrical Engineering, Iran University of Science and Technology (IUST), Narmak, 16846-13114, Tehran, Iran

    Abbas Pourhedayat, Marzie Aghababaeipour Dehkordi & Mohammad Reza Daliri

Authors
  1. Abbas Pourhedayat
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  2. Marzie Aghababaeipour Dehkordi
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Contributions

AP and MRD designed the study; AP and MAD recorded the data; AP and MRD performed data analyses and interpretation of the data; and AP, MAD, and MRD wrote the paper.

Corresponding author

Correspondence to Mohammad Reza Daliri.

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Ethics Approval and Consent to Participate

All experimental procedures were done in the Neuroscience & Neuroengineering Research Laboratory at Iran University of Science and Technology (IUST). All protocols in strict accordance with the Care and Use Guide of Laboratory animals of the National Institute of Health were approved in the Animal Care and Use Committee of Neuroscience & Neuroengineering Research Laboratory. Urethane was used for anesthesia, and all efforts were done to minimize the suffering. In the end, the animal was euthanized by overdosing on urethane. Decapitation was made to ensure the animal's death after its heart stopped beating, its body temperature dropped down, and had no respiration.

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The authors declare that they have no competing interests.

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Pourhedayat, A., Aghababaeipour Dehkordi, M. & Daliri, M. Motion Selectivity of the Local Filed Potentials in the Primary Visual Cortex of Rats: A Machine Learning Approach. Cogn Comput 16, 1287–1299 (2024). https://doi.org/10.1007/s12559-024-10263-7

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