In this thesis, we explore how linear principles contribute to our understanding of neural dynamics and cognitive functions. Through a combination of theoretical modeling, computational analysis, and empirical data, we aim to elucidate how the brain harnesses linearity within its inherently non-linear structure to facilitate efficient, reliable processing.

DI ANTONIO, G. (2025). The Linear side of the Non-linear Brain.

The Linear side of the Non-linear Brain

Di Antonio Gabriele
2025-04-30

Abstract

In this thesis, we explore how linear principles contribute to our understanding of neural dynamics and cognitive functions. Through a combination of theoretical modeling, computational analysis, and empirical data, we aim to elucidate how the brain harnesses linearity within its inherently non-linear structure to facilitate efficient, reliable processing.
30-apr-2025
37
ELETTRONICA APPLICATA
Neural networks; Brain; Dynamical systems; Reservoir Computing
GABRIELLI, ANDREA
MATTIA, MAURIZIO
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/508297
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