Energy Constraints Improve Liquid State Machine Performance

06/08/2020
by   Andrew Fountain, et al.
0

A model of metabolic energy constraints is applied to a liquid state machine in order to analyze its effects on network performance. It was found that, in certain combinations of energy constraints, a significant increase in testing accuracy emerged; an improvement of 4.25 task using a digital liquid state machine while reducing overall reservoir spiking activity by 6.9 energy constraints' impact on the reservoir's dynamics, as measured through metrics such as the Lyapunov exponent and the separation of the reservoir.

READ FULL TEXT

page 6

page 7

research
07/13/2023

Impact of Free-carrier Nonlinearities on Silicon Microring-based Reservoir Computing

We quantify the impact of thermo-optic and free-carrier effects on time-...
research
08/10/2020

Multifunctionality in a Reservoir Computer

Multifunctionality is a well observed phenomenological feature of biolog...
research
02/28/2023

Reservoir Computing with Noise

This paper investigates in detail the effects of noise on the performanc...
research
12/10/2019

Dimension of Reservoir Computers

A reservoir computer is a complex dynamical system, often created by cou...
research
11/22/2021

Memory erasure with finite-sized spin reservoir

Landauer's erasure principle puts a fundamental constraint on the amount...
research
06/19/2023

Generating Oscillation Activity with Echo State Network to Mimic the Behavior of a Simple Central Pattern Generator

This paper presents a method for reproducing a simple central pattern ge...
research
12/04/2019

SpaRCe: Sparse reservoir computing

"Sparse" neural networks, in which relatively few neurons or connections...

Please sign up or login with your details

Forgot password? Click here to reset