Results 101 to 110 of about 21,729 (293)
Risk bounds for reservoir computing
We analyze the practices of reservoir computing in the framework of statistical learning theory. In particular, we derive finite sample upper bounds for the generalization error committed by specific families of reservoir computing systems when processing discrete-time inputs under various hypotheses on their dependence structure. Non-asymptotic bounds
Gonon, L. +2 more
openaire +7 more sources
Chemical Maturation Controls Bioavailability of Fetuin‐A‐Mineral Complexes in Biomineralization
The role of Fetuin‐A‐mineral complexes in matrix mineralization is unclear. Here, Fetuin‐A‐mineral complexes were found to exist in functionally distinct states that determine mineral bioavailability: chemically labile calciprotein monomers directly mineralize collagen fibrils, while chemically matured primary calciprotein particles require cellular ...
Judith M. Schaart +8 more
wiley +1 more source
Multi-sensory integration is a perceptual process through which the brain synthesizes a unified perception by integrating inputs from multiple sensory modalities.
Yoshihiro Yonemura +2 more
doaj +1 more source
Vestibular reservoir computing
Reservoir computing (RC) is a computational framework known for its training efficiency, making it ideal for physical hardware implementations. However, realizing the complex interconnectivity of traditional reservoirs in physical systems remains a significant challenge.
Smita Deb +3 more
openaire +2 more sources
Inspired by lung alveolar architecture, a dual‐templating strategy combining CO2 bubble and ice templating creates mechanically robust super‐macroporous hydrogels with highly interconnected transport pathways. The resulting material achieves 3.37× faster moisture sorption and 1.72× higher solar‐driven water release than single‐templated counterparts ...
Pan Huang +7 more
wiley +1 more source
Hierarchical Memcapacitive Reservoir Computing Architecture [PDF]
The quest for novel computing architectures is currently driven by (1) machine learning applications and (2) the need to reduce power consumption. To address both needs, we present a novel hierarchical reservoir computing architecture that relies on ...
Tran, S. J. Dat +3 more
core +1 more source
DNA and other biopolymers are being investigated as new computing substrates and alternative to silicon-based digital computers. However, the established top–down design of biomolecular interaction networks remains challenging and does not fully exploit ...
Tanmay Pandey +2 more
doaj +1 more source
Implantable Ionic Memristors Based on Natural Polymer Heterojunctions
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee +6 more
wiley +1 more source
In this work, we highlight a unique material platform capable of producing three distinct room temperature (RT) photoluminescence (PL) resonances from spatially separated regions composed of a heterobilayer (HBL), a homobilayer (HoBL), and an heterotrilayer (HTL) transition metal dichalcogenide (TMD) heterostructures configuration on a highly ...
Bhabani Sankar Sahoo +8 more
wiley +1 more source
Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction
Spiking reservoir computing (SRC), a variant of reservoir computing in which the reservoir is realized as a spiking neural network, demonstrates competitive performance on time series prediction tasks.
Pin Jin +3 more
doaj +1 more source

