FREEMAN'S K MODELS AS RESERVOIR COMPUTING ARCHITECTURES

DOI10.1142/S179300570900126XzbMath1172.68475OpenAlexW2042487101MaRDI QIDQ3620276

Mustafa C. Ozturk, Jose C. Principle

Publication date: 14 April 2009

Published in: New Mathematics and Natural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s179300570900126x

zbMATH Keywords

Freeman K setsliquid state mechanicsuniversal computing machines

Mathematics Subject Classification ID

Cites Work

• An associative memory readout for ESNs with applications to dynamical pattern recognition
• Computation in a reduced KII network based on synchronization
• TUTORIAL ON NEUROBIOLOGY: FROM SINGLE NEURONS TO BRAIN CHAOS
• Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
• Neurons with graded response have collective computational properties like those of two-state neurons.
• Analysis and Design of Echo State Networks

This page was built for publication: FREEMAN'S K MODELS AS RESERVOIR COMPUTING ARCHITECTURES