Nonlinear dynamical system approaches towards neural prosthesis

Journal Article · Tue Apr 19 00:00:00 EDT 2011 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.3586236· OSTI ID:21513188

Torikai, Hiroyuki; Hashimoto, Sho ^[1]

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1. Graduate School of Engineering Science, Osaka University (Japan)

An asynchronous discrete-state spiking neurons is a wired system of shift registers that can mimic nonlinear dynamics of an ODE-based neuron model. The control parameter of the neuron is the wiring pattern among the registers and thus they are suitable for on-chip learning. In this paper an asynchronous discrete-state spiking neuron is introduced and its typical nonlinear phenomena are demonstrated. Also, a learning algorithm for a set of neurons is presented and it is demonstrated that the algorithm enables the set of neurons to reconstruct nonlinear dynamics of another set of neurons with unknown parameter values. The learning function is validated by FPGA experiments.

• OSTI ID: 21513188
• Journal Information: AIP Conference Proceedings, Vol. 1339, Issue 1; Conference: ICAND 2010: International conference on applications in nonlinear dynamics, Lake Louise, AB (Canada), 21-24 Sep 2010; Other Information: DOI: 10.1063/1.3586236; (c) 2011 American Institute of Physics; ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICAL METHODS AND COMPUTING
71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
ALGORITHMS
DIFFERENTIAL EQUATIONS
NETWORK ANALYSIS
NEURAL NETWORKS
NONLINEAR PROBLEMS
EQUATIONS
MATHEMATICAL LOGIC