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Spiking image processing unit based on neural analog of Boolean logic operations

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Abstract

McCulloch and Pitts hypothesized in 1943 that the brain is entirely composed of logic gates, akin to current computers' IP cores, which led to several neural analogs of Boolean logic. The current study proposes a spiking image processing unit (SIPU) based on spiking frequency gates and coordinate logic operations, as a dynamical model of synapses and spiking neurons. SIPU can imitate DSP functions like edge recognition, picture magnification, noise reduction, etc. but can be extended to cater for more advanced computing tasks. The proposed spiking Boolean logic platform can be used to develop advanced applications without relying on learning or specialized datasets. It could aid in gaining a deeper understanding of complex brain functions and spur new forms of neural analogs.

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Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran

    Soheila Nazari & Alireza Keyanfar

  2. Department of Neurosciences, Laboratory for Neuro- and Psychophysiology, KU Leuven - University of Leuven, 3000, Leuven, Belgium

    Marc M. Van Hulle

Authors
  1. Soheila Nazari
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  2. Alireza Keyanfar
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  3. Marc M. Van Hulle
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Correspondence to Soheila Nazari.

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Nazari, S., Keyanfar, A. & Van Hulle, M.M. Spiking image processing unit based on neural analog of Boolean logic operations. Cogn Neurodyn 17, 1649–1660 (2023). https://doi.org/10.1007/s11571-022-09917-9

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