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Theory and modeling of complex nonlinear delay dynamics applied to neuromorphic computing

Abstract : The thesis develops a novel approach to design of a reservoir computer, one of the challenges of modern Science and Technology. It consists of two parts, both connected by the correspondence between optoelectronic delayed-feedback systems and spatio-temporal nonlinear dynamics. In the first part (Chapters 1 and 2), this correspondence is used in a fundamental perspective, studying self-organized patterns known as chimera states, discovered for the first time in purely temporal systems. Study of chimera states may shed light on mechanisms occurring in many structurally similar high-dimensional systems such as neural systems or power grids. In the second part (Chapters 3 and 4), the same spatio-temporal analogy is exploited from an applied perspective, designing and implementing a brain-inspired information processing device: a real-time digital reservoir computer is constructed in FPGA hardware. The implementation utilizes delay dynamics and realizes input as well as output layers for an autonomous cognitive computing system.
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Submitted on : Tuesday, October 23, 2018 - 6:08:07 PM
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  • HAL Id : tel-01902782, version 1


Bogdan Penkovsky. Theory and modeling of complex nonlinear delay dynamics applied to neuromorphic computing. Signal and Image Processing. Université Bourgogne Franche-Comté, 2017. English. ⟨NNT : 2017UBFCD059⟩. ⟨tel-01902782⟩



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