Results 31 to 40 of about 7,314,717 (264)

Active Shape Discrimination with Physical Reservoir Computers [PDF]

open access: yesArtificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems, 2014
We present the first example of ‘minimally cognitive’ sensorimotor behaviour arising from a body as physical reservoir.\ud By revisiting an experiment introduced by Beer (1996)\ud and replacing the continuous-time recurrent neural network\ud (CTRNN) therein with networks of mass-spring-dampers we\ud demonstrate that bodies may be exploited for more ...
Johnson, Chris   +2 more
openaire   +2 more sources

The van der Pol physical reservoir computer

open access: yesNeuromorphic Computing and Engineering, 2023
Abstract The van der Pol oscillator has historical and practical significance to spiking neural networks. It was proposed as one of the first models for heart oscillations, and it has been used as the building block for spiking neural networks.
Md Raf E. Ul Shougat, Edmon Perkins
openaire   +2 more sources

Reservoir computing with solitons

open access: yesNew Journal of Physics, 2021
Reservoir computing is a promising framework that facilitates the approach to physical neuromorphic hardware by enabling a given nonlinear physical system to act as a computing platform.
Nuno Azevedo Silva   +2 more
doaj   +1 more source

Optimizations of reservoir computing in a nonlinear nanomechanical resonator

open access: yes, 2023
National audienceReservoir computing is a branch of artificial intelligence derived from recurrent neuron network theory. It has the advantage of being efficient in many applications like speech recognition, image classification and time series ...
Rabenimanana, Toky Harrison, Zhou, Xin
core   +3 more sources

Hopf physical reservoir computer for reconfigurable sound recognition

open access: yesScientific Reports, 2023
AbstractThe Hopf oscillator is a nonlinear oscillator that exhibits limit cycle motion. This reservoir computer utilizes the vibratory nature of the oscillator, which makes it an ideal candidate for reconfigurable sound recognition tasks. In this paper, the capabilities of the Hopf reservoir computer performing sound recognition are systematically ...
Md Raf E. Ul Shougat   +4 more
openaire   +5 more sources

Short-term memory capacity analysis of Lu3Fe4Co0.5Si0.5O12-based spin cluster glass towards reservoir computing

open access: yesScientific Reports, 2023
Reservoir computing is a brain heuristic computing paradigm that can complete training at a high speed. The learning performance of a reservoir computing system relies on its nonlinearity and short-term memory ability.
Zhiqiang Liao   +5 more
doaj   +1 more source

Speech recognition through physical reservoir computing with neuromorphic nanowire networks [PDF]

open access: yes, 2022
The hardware implementation of the reservoir computing paradigm represents a key aspect for taking into advantage of neuromorphic data processing. In this context, self-organised nanonetworks represent a versatile and scalable computational substrate for
Milano, Gianluca   +3 more
core   +2 more sources

Spintronic reservoir computing without driving current or magnetic field

open access: yesScientific Reports, 2022
Recent studies have shown that nonlinear magnetization dynamics excited in nanostructured ferromagnets are applicable to brain-inspired computing such as physical reservoir computing.
Tomohiro Taniguchi   +3 more
doaj   +1 more source

A Redox‐Based Ion‐Gating Reservoir, Utilizing Double Reservoir States in Drain and Gate Nonlinear Responses

open access: yesAdvanced Intelligent Systems, 2023
Herein, physical reservoir computing with a redox‐based ion‐gating reservoir (redox‐IGR) comprising LixWO3 thin film and lithium‐ion conducting glass ceramic (LICGC) is demonstrated.
Tomoki Wada   +5 more
doaj   +1 more source

Skyrmion based energy efficient straintronic physical reservoir computing [PDF]

open access: yes, 2022
Physical Reservoir Computing (PRC) is an unconventional computing paradigm, which exploits nonlinear dynamics of reservoir blocks to perform recognition and classification tasks.
Chowdhury, Md. Fahim F.   +4 more
core   +1 more source

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