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In-silico Investigation of Human Visual System

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Contemporary Methods in Bioinformatics and Biomedicine and Their Applications (BioInfoMed 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 374))

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Abstract

The paper presents in-silico investigations of the effects of brain lesions in different parts of human visual system. For this aim, a hierarchical spike timing neural network model reproducing performance of visual tasks with reinforcement learning by humans was implemented in NEST simulator. Its structure and connectivity is designed according to available information about corresponding brain areas organization. The model has two basic sub-structures: a perceptual part involved in visual information processing and perceptual decision making and basal ganglia that biases taken decisions according to received external reinforcement signal. The developed software includes also an option to introduce “damage” in each one of the model sub-structures thus allowing performance of in-silico investigations of effect of brain lesions. The simulations were performed feeding the model with a dynamic visual stimulus consisting of moving dots. Different scenarios including damage in single or several brain areas were prepared and model reactions were collected. Observed deterioration of visual task performance were summarized and commented.

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Acknowledgements

The present research has been supported by the Bulgarian National Science Fund under Grant Ref. No. DN02/3/2016 “Modelling of voluntary saccadic eye movements during decision making”.

Author information

Authors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 25A, 1113, Sofia, Bulgaria

    Petia Koprinkova-Hristova & Simona Nedelcheva

  2. Institute of Neurobilogy, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 25, 1113, Sofia, Bulgaria

    Nadejda Bocheva

Authors
  1. Petia Koprinkova-Hristova
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  2. Simona Nedelcheva
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  3. Nadejda Bocheva
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Corresponding author

Correspondence to Petia Koprinkova-Hristova .

Editor information

Editors and Affiliations

  1. Faculty of Technical Sciences, University Prof. D-r Asen Zlatarov, Burgas, Bulgaria

    Sotir S. Sotirov

  2. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Tania Pencheva

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  4. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Krassimir T. Atanassov

  5. Intelligent Systems Laboratory, University Prof. D-r Asen Zlatarov, Burgas, Bulgaria

    Evdokia Sotirova

  6. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Galya Staneva

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Koprinkova-Hristova, P., Nedelcheva, S., Bocheva, N. (2022). In-silico Investigation of Human Visual System. In: Sotirov, S.S., Pencheva, T., Kacprzyk, J., Atanassov, K.T., Sotirova, E., Staneva, G. (eds) Contemporary Methods in Bioinformatics and Biomedicine and Their Applications. BioInfoMed 2020. Lecture Notes in Networks and Systems, vol 374. Springer, Cham. https://doi.org/10.1007/978-3-030-96638-6_25

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  • DOI: https://doi.org/10.1007/978-3-030-96638-6_25

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  • Online ISBN: 978-3-030-96638-6

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