Results 101 to 110 of about 215,411 (303)
A nanofluidic oscillating neuron
Nature CommunicationsNanofluidics provide a transformative platform for creating neuron emulates, yet replicating their complex spiking dynamics remains challenging. Herein, we report a nanofluidic oscillating neuron (FON) which could emulate spiking-form encoding functions ...
Tianyi Xiong +11 more
doaj +1 more source
Spiking neurons from tunable Gaussian heterojunction transistors
Nature Communications, 2020 Designing high performance, scalable, and energy efficient spiking neural networks remains a challenge. Here, the authors utilize mixed-dimensional dual-gated Gaussian heterojunction transistors from single-walled carbon nanotubes and monolayer MoS2 to ...
Megan E. Beck +9 more
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An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Advanced Functional Materials, EarlyView.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
Goodness-of-fit tests for neural population models: the multivariate time-rescaling theorem [PDF]
, 2010 Poster Presentation from Nineteenth Annual Computational Neuroscience Meeting: CNS*2010 San Antonio, TX, USA. 24-30 July 2010 Statistical models of neural activity are at the core of the field of modern computational neuroscience.
Haslinger Robert +8 more
core +2 more sources
Multilayer magnetic skyrmion devices for spiking neural networks
Neuromorphic Computing and EngineeringSpintronic devices -based on magnetic solitons, such as the domain wall motion and the skyrmions, have shown a significant potential for applications in energy-efficient data storage and beyond CMOS computing architectures.
Aijaz H Lone +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.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
Branch-specific plasticity enables self-organization of nonlinear computation in single neurons [PDF]
, 2011 It has been conjectured that nonlinear processing in dendritic branches endows individual neurons with the capability to perform complex computational operations that are needed in order to solve for example the binding problem.
Maass, Wolfgang, Legenstein, Robert
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Моделирование и анализ информационных систем, 2009 In this paper we present a corrected version of the theorem from the article "A Correction For Period Of Oscillation In The Model Of Spiking Neuron", in which a new first-order estimation for the oscillation period in the difference-differential model of
O. A. Dunaeva, M. L. Machin
doaj
Advanced Functional Materials, EarlyView.A geometry‐reconfigured additive manufacturing strategy converts planar printed soft materials into soft compact neural probes with integrated hydrogel electrodes and microfluidic channels. The resulting NeuroMAP platform enables scalable multichannel recording, localized chemical delivery, stable in vivo electrophysiological recording, and reduced ...
Hyunjin Lee +15 more
wiley +1 more source
Spintronic FitzHugh–Nagumo spiking neuron device for spiking neural networks
Spintronic-based neuron devices for neural network hardware are gaining increasing attention. However, the majority of these devices are designed to replicate a highly simplified neuronal model known as the leaky integrate-and-fire (LIF) neuron.
Meng Tang +11 more
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