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Intestelligence: A pharmacological neural network using intestine data

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  1. 1Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo 113-0033, Japan
  2. 2Department of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, 3010, Australia
  3. 3Center for Information and Neural Networks, National Institute of Information and Communications Technology, Suita City, Osaka, 565-0871, Japan
  4. 4Institute for AI and Beyond, The University of Tokyo, Tokyo 113-0033, Japan

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Published 06 May. 2024 | License Creative Commons CC0 1.0 Public Domain Dedication

Description

Background: A neural network is a machine learning algorithm that can learn and make predictions by adjusting the strength of the connections between nodes. The sigmoid function is commonly used as an activation function in these nodes. This study explores the potential applicability of biological materials in the development of alternative activation functions. Methods: Inspired by the fact that acetylcholine induces intestinal contractions that follow a sigmoid function, we used pharmacological data obtained from guinea pig ilea in a layered neural network for image classification tasks. k Results: and Conclusions We found that the intestinal data-based neural network with the same structure as a conventional three-layer perceptron achieved an impressive classification accuracy of 85.7% ± 0.6% based on the MNIST handwritten digit dataset (chance = 10%). Additionally, the neural network was trained to determine whether objects in photographs collected from the internet were digestible, achieving an accuracy of 88.5% ± 0.9% (chance = 50%). Our approach highlights the potential applicability of intestine data in neural computations based on pharmacological mechanisms.

Keywords

| Biologically-inspired Neural Network | Activation Function | Intestine |

References

  • Yusuke Watanabe, Hiroshi Ban, Nobuhiro Hagura, and Yuji Ikegaya (2024) Intestelligence: A pharmacological neural network using intestine data. F1000research, under review.
  • Watanabe Y, Ban H, Haugra N, Ikegaya Y (2023) Intestelligence: A pharmacological neural network using intestine data. bioRxiv 2023.04.15.537044.

Funding

  • Japan Science and Technology Agency (JST) Exploratory Research for Advanced Technology (ERATO) grant JPMJER1801

Citation

Watanabe Y, Ban H, Hagura N, Ikegaya Y (2024) Intestelligence: A pharmacological neural network using intestine data. G-Node. https://doi.org/10.12751/g-node.h7s44t