Results 71 to 80 of about 21,729 (293)
Advances in photonic reservoir computing [PDF]
, 2017 We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is to implement a reservoir computer in optics, where information is encoded in the intensity and phase of the optical field.
Van der Sande, Guy +7 more
core +3 more sources
Brownian reservoir computing realized using geometrically confined skyrmion dynamics
Nature Communications, 2022 Magnetic skyrmions, due to their strongly nonlinearity and multiscale dynamics, are promising for implementing reservoir computing. Here, the authors experimentally demonstrate skyrmion-based spatially multiplexed reservoir computing able to perform ...
Klaus Raab +7 more
doaj +1 more source
LiNbO3 dynamic memristors for reservoir computing
Frontiers in Neuroscience, 2023 Information in conventional digital computing platforms is encoded in the steady states of transistors and processed in a quasi-static way. Memristors are a class of emerging devices that naturally embody dynamics through their internal electrophyiscal ...
Yuanxi Zhao +9 more
doaj +1 more source
FEBS Open Bio, EarlyView.Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas +6 more
wiley +1 more source
Reservoir computing architectures for modeling robot navigation systems [PDF]
, 2011 This thesis proposes a new efficient and biologically inspired way of modeling navigation tasks for autonomous mobile robots having restrictions on cost, energy consumption, and computational complexity (such as household and assistant robots).
ANTONELO, Eric Aislan, Antonelo, Eric
core
Reducing reservoir computer hyperparameter dependence by external timescale tailoring
Neuromorphic Computing and EngineeringTask specific hyperparameter tuning in reservoir computing is an open issue, and is of particular relevance for hardware implemented reservoirs. We investigate the influence of directly including externally controllable task specific timescales on the ...
Lina Jaurigue, Kathy Lüdge
doaj +1 more source
Deep Liquid State Machines With Neural Plasticity for Video Activity Recognition
Frontiers in Neuroscience, 2019 Real-world applications such as first-person video activity recognition require intelligent edge devices. However, size, weight, and power constraints of the embedded platforms cannot support resource intensive state-of-the-art algorithms.
Nicholas Soures, Dhireesha Kudithipudi
doaj +1 more source
Reservoir Computing Generalized
CoRRA physical neural network (PNN) has both the strong potential to solve machine learning tasks and intrinsic physical properties, such as high-speed computation and energy efficiency. Reservoir computing (RC) is an excellent framework for implementing an information processing system with a dynamical system by attaching a trained readout, thus ...
Tomoyuki Kubota +3 more
openaire +2 more sources
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
Learning navigation attractors for mobile robots with reinforcement learning and reservoir computing [PDF]
, 2011 peer reviewedAutonomous robot navigation in partially observable environments is a complex task because the state of the environment can not be completely determined only by the current sensory readings of a robot.
ANTONELO, Eric Aislan +3 more
core