Results 41 to 50 of about 101,043 (267)
In-materio neuromimetic devices: Dynamics, information processing and pattern recognition
, 2020 The story of information processing is a story of great success. Todays' microprocessors are devices of unprecedented complexity and MOSFET transistors are considered as the most widely produced artifact in the history of mankind.
Gentili, Pier Luigi +4 more
core +1 more source
Optical signal processing with a network of semiconductor optical amplifiers in the context of photonic reservoir computing [PDF]
, 2011 Photonic reservoir computing is a hardware implementation of the concept of reservoir computing which comes from the field of machine learning and artificial neural networks.
Bienstman, Peter +5 more
core +2 more sources
A high-performance deep reservoir computer experimentally demonstrated with ion-gating reservoirs
Communications EngineeringWhile physical reservoir computing is a promising way to achieve low power consumption neuromorphic computing, its computational performance is still insufficient at a practical level. One promising approach to improving its performance is deep reservoir
Daiki Nishioka +5 more
doaj +1 more source
Performance boost of time-delay reservoir computing by non-resonant clock cycle
, 2020 The time-delay-based reservoir computing setup has seen tremendous success in both experiment and simulation. It allows for the construction of large neuromorphic computing systems with only few components.
Lüdge, Kathy +3 more
core +1 more source
The newfound relationship between extrachromosomal DNAs and excised signal circles
FEBS Letters, EarlyView.Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley +1 more source
RCbench: a unified framework for benchmarking reservoir computing systems
Neuromorphic Computing and EngineeringReservoir computing (RC) is a computational framework where a fixed dynamical reservoir projects an input into a higher-dimensional state that is then analyzed by a readout , which is trained to map the reservoir state into the desired output.
Davide Pilati +5 more
doaj +1 more source
Musical instrument mapping design with Echo State Networks [PDF]
, 2014 Echo State Networks (ESNs), a form of recurrent neural network developed in the field of Reservoir Computing, show significant potential for use as a tool in the design of mappings for digital musical instruments.
Kiefer, Chris
core +2 more sources
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao +5 more
wiley +1 more source
Delayed Dynamical Systems: Networks, Chimeras and Reservoir Computing
, 2018 We present a systematic approach to reveal the correspondence between time delay dynamics and networks of coupled oscillators. After early demonstrations of the usefulness of spatio-temporal representations of time-delay system dynamics, extensive ...
Hart, Joseph D. +3 more
core +1 more source