Metaheuristic design of feedforward neural networks: A review of two decades of research
Over the past two decades, the feedforward neural network (FNN) optimization has been a
key interest among the researchers and practitioners of multiple disciplines. The FNN …
key interest among the researchers and practitioners of multiple disciplines. The FNN …
All in good time: long-lasting postdictive effects reveal discrete perception
Is consciousness a continuous stream of percepts or is it discrete, occurring only at certain
moments in time? This question has puzzled philosophers, psychologists, and …
moments in time? This question has puzzled philosophers, psychologists, and …
[图书][B] Reservoir computing
K Nakajima, I Fischer - 2021 - Springer
Reservoir Computing: Theory, Physical Implementations, and Applications is the first
comprehensive book about reservoir computing (RC). RC was introduced in the early 2000s …
comprehensive book about reservoir computing (RC). RC was introduced in the early 2000s …
Physical reservoir computing—an introductory perspective
K Nakajima - Japanese Journal of Applied Physics, 2020 - iopscience.iop.org
Understanding the fundamental relationships between physics and its information-
processing capability has been an active research topic for many years. Physical reservoir …
processing capability has been an active research topic for many years. Physical reservoir …
Reservoir computing with biocompatible organic electrochemical networks for brain-inspired biosignal classification
M Cucchi, C Gruener, L Petrauskas, P Steiner… - Science …, 2021 - science.org
Early detection of malign patterns in patients' biological signals can save millions of lives.
Despite the steady improvement of artificial intelligence–based techniques, the practical …
Despite the steady improvement of artificial intelligence–based techniques, the practical …
Connectome-based reservoir computing with the conn2res toolbox
The connection patterns of neural circuits form a complex network. How signaling in these
circuits manifests as complex cognition and adaptive behaviour remains the central question …
circuits manifests as complex cognition and adaptive behaviour remains the central question …
Reservoir computing compensates slow response of chemosensor arrays exposed to fast varying gas concentrations in continuous monitoring
Metal oxide (MOX) gas sensors arrays are a predominant technological choice to perform
fundamental tasks of chemical detection. Yet, their use has been mainly limited to relatively …
fundamental tasks of chemical detection. Yet, their use has been mainly limited to relatively …
Physical reservoir computing with emerging electronics
Physical reservoir computing is a form of neuromorphic computing that harvests the dynamic
properties of materials for high-efficiency computing. A wide range of physical systems can …
properties of materials for high-efficiency computing. A wide range of physical systems can …
Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting
RJ Abrahart, F Anctil, P Coulibaly… - Progress in …, 2012 - journals.sagepub.com
This paper traces two decades of neural network rainfall-runoff and streamflow modelling,
collectively termed 'river forecasting'. The field is now firmly established and the research …
collectively termed 'river forecasting'. The field is now firmly established and the research …
Spatiotemporal Data Processing with Memristor Crossbar‐Array‐Based Graph Reservoir
Memristor‐based physical reservoir computing (RC) is a robust framework for processing
complex spatiotemporal data parallelly. However, conventional memristor‐based reservoirs …
complex spatiotemporal data parallelly. However, conventional memristor‐based reservoirs …