Results 131 to 140 of about 2,032,630 (292)
An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
University proceedings. Volga region. Technical sciences
Background. Currently, single-layer networks of artificial neurons are used, which are equivalent to classical statistical criteria. The purpose of the work is to move to more complex algorithms for using multilayer networks of artificial neurons ...
V.I. Volchikhin +3 more
doaj +1 more source
Pattern recognition using spiking antiferromagnetic neurons
Spintronic devices offer a promising avenue for the development of nanoscale, energy-efficient artificial neurons for neuromorphic computing. It has previously been shown that with antiferromagnetic (AFM) oscillators, ultra-fast spiking artificial ...
Hannah Bradley +3 more
doaj +1 more source
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi +7 more
wiley +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
The hardware implementation of an artificial neural network using stochastic pulse rate encoding principles [PDF]
In this thesis the development of a hardware artificial neuron device and artificial neural network using stochastic pulse rate encoding principles is considered.
Glover, John Sigsworth
core
Advancing Human Skin Equivalents: The Crucial Role of Neurovascular Integration
This review discusses the importance of integrating vascular and peripheral nerve systems into human skin equivalents (HSEs) to better recapitulate native skin physiology. Recent advances in vascularized, innervated, and neurovascularized HSEs are highlighted, together with emerging bioengineering strategies, current challenges, and future ...
Hao Wu +4 more
wiley +1 more source
Optical Detection of Cellular Signals at Material Interfaces
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren +5 more
wiley +1 more source
Simultaneous release of glutamate and acetylcholine from single magnocellular "cholinergic" basal forebrain neurons [PDF]
Basal forebrain (BF) neurons provide the principal cholinergic drive to the hippocampus and cortex. Their degeneration is associated with the cognitive defects of Alzheimer's disease. Immunohistochemical studies suggest that some of these neurons contain
Allen, TGJ, Abogadie, FC, Brown, DA
core
Conventional therapies suffer from poor blood–brain barrier (BBB) penetration and disordered ion/reactive oxygen species (ROS) homeostasis, hindering precise neurological treatment. Electrochemical strategies achieve accurate spatiotemporal regulation of neural homeostasis.
Xiaokang Hu +5 more
wiley +1 more source

