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Can I read Biological Neurons Act as Generalization Filters in Reservoir Computing on EtoBox?
Biological Neurons Act as Generalization Filters in Reservoir Computing by Takuma Sumi; Hideaki Yamamoto; Yuichi Katori; Koki Ito; Satoshi Moriya; Tomohiro Konno; Shigeo Sato; Ayumi Hirano-Iwata is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Biological Neurons Act as Generalization Filters in Reservoir Computing about?
## Significance The brain is a recurrent network of neuronal cells, which are modeled by, but different from, simplified mathematical representations used in typical artificial neural networks. How does the characteristic connectivity in the recurrent network, such as the modular organization, interact with the biophysical properties of the cells to formulate the dynamics and function of biological neuronal networks? To address this question, we used the framework of reservoir computing to readout the stimulus responses of cultured neuronal networks and evaluated their computational properties in pattern classification and timer tasks. We show that reservoirs of biological neurons filter input signals, which can be classified by a linear decoder and that modularity in the recurrent connectivity facilitate the classification performance.
Who reads Biological Neurons Act as Generalization Filters in Reservoir Computing?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Takuma Sumi; Hideaki Yamamoto; Yuichi Katori; Koki Ito; Satoshi Moriya; Tomohiro Konno; Shigeo Sato; Ayumi Hirano-Iwata
- Publisher
- Proceedings of the National Academy of Sciences
- Published
- 2023
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)