Results 101 to 110 of about 6,675,279 (300)

Systematic configuration and automatic tuning of neuromorphic systems [PDF]

, 2011
In the past recent years several research groups have proposed neuromorphic Very Large Scale Integration (VLSI) devices that implement event-based sensors or biophysically realistic networks of spiking neurons.
Sheik, S., Neftci, E, Indiveri, G, Fabio Stefanini, Emre Neftci, Sheik, S, Sadique Sheik, Chicca, E, Stefanini, F., Indiveri, G., Giacomo Indiveri, Elisabetta Chicca, Chicca, Elisabetta ; https://orcid.org/, Neftci, E., Stefanini, F   +14 more
core   +1 more source

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

Advanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies, Bin Han, Paolo Samorì   +2 more
wiley   +1 more source

Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons [PDF]

, 2001
Chicca E, Fusi S. Stochastic synaptic plasticity in deterministic aVLSI networks of spiking neurons. In: Rattay F, ed. Proceedings of the World Congress on Neuroinformatics.
Fusi, S., Chicca, Elisabetta ; https://orcid.org/, Rattay, Frank   +2 more
core  

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, Junhwa Oh, Hyeonjung Kim, Minsik Park, Haein Cho, Jin Young Park, Hyeonchang Son, Taeyun Kim, Sung‐Un An, Yamin Zhang, Hyeon‐Jin Shin, Seyong Oh, Dong‐Ho Kang   +12 more
wiley   +1 more source

Neural cross-correlation for radio astronomy [PDF]

, 2010
Includes abstract.Includes bibliographical references (leaves 56-62).Correlation engines are essential elements of most signal processing systems.
Ngongoni, Chipo Nancy
core   +1 more source

Intelligent cyberrisk management model for critical information infrastructure in the financial sector based on spiking neural networks

Экономика и управление
Aim. This work aimed to develop a cyberrisk management model for the critical information infrastructure of the financial sector based on spiking neural networks (SNNs), focused on improving the validity and efficiency of decision­making when detecting ...
Ilnur I. Khasanov, Alexey A. Nikiforov
doaj   +1 more source

Implementing Signature Neural Networks with Spiking Neurons

Frontiers in Computational Neuroscience, 2016
Spiking Neural Networks constitute the most promising approach to develop realistic ArtificialNeural Networks (ANNs). Unlike traditional firing rate-based paradigms, information coding inspiking models is based on the precise timing of individual spikes.
José Luis Carrillo-Medina, Roberto Latorre   +1 more
doaj   +1 more source

Hopf Bifurcation in Mean Field Explains Critical Avalanches in Excitation-Inhibition Balanced Neuronal Networks: A Mechanism for Multiscale Variability

Frontiers in Systems Neuroscience, 2020
Cortical neural circuits display highly irregular spiking in individual neurons but variably sized collective firing, oscillations and critical avalanches at the population level, all of which have functional importance for information processing ...
Junhao Liang, Junhao Liang, Tianshou Zhou, Changsong Zhou, Changsong Zhou   +4 more
doaj   +1 more source

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

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, Federico Rondelli, Francesco Torricelli, Federica Velluto, Anna De Salvo, Michele Di Lauro, Luciano Fadiga, Fabio Biscarini   +7 more
wiley   +1 more source

Fast learning without synaptic plasticity in spiking neural networks

Scientific Reports
Spiking neural networks are of high current interest, both from the perspective of modelling neural networks of the brain and for porting their fast learning capability and energy efficiency into neuromorphic hardware. But so far we have not been able to
Anand Subramoney, Guillaume Bellec, Franz Scherr, Robert Legenstein, Wolfgang Maass   +4 more
doaj   +1 more source