Results 21 to 30 of about 4,781,385 (251)

Function approximation with uncertainty propagation in a VLSI spiking neural network [PDF]

, 2012
The brain combines and integrates multiple cues to take coherent, context-dependent action using distributed, event-based computational primitives. Computational models that use these principles in software simulations of recurrently coupled spiking ...
Sonnleithner, D., Matthew Cook, Sonnleithner, D, Dane Corneil, Neftci, E, Indiveri, G, Corneil, D., Cook, M, Emre Neftci, Douglas, R, Rodney Douglas, Chicca, E, Douglas, R., Indiveri, G., Giacomo Indiveri, Cook, M., Elisabetta Chicca, Corneil, D, Chicca, Elisabetta ; https://orcid.org/, Neftci, E., Daniel Sonnleithner   +20 more
core   +1 more source

A systematic method for configuring VLSI networks of spiking neurons [PDF]

, 2011
Neftci E, Chicca E, Indiveri G, Douglas RJ. A systematic method for configuring VLSI networks of spiking neurons. Neural Computation. 2011;23(10):2457-2497.An increasing number of research groups are developing custom hybrid analog/digital very large ...
Rodney Douglas, Chicca, E, Douglas, R. J., Neftci, E, Indiveri, G., Indiveri, G, Giacomo Indiveri, Elisabetta Chicca, Emre Neftci, Chicca, Elisabetta ; https://orcid.org/, Douglas, R, Neftci, E.   +11 more
core   +1 more source

A biologically inspired spiking model of visual processing for image feature detection [PDF]

, 2015
To enable fast reliable feature matching or tracking in scenes, features need to be discrete and meaningful, and hence edge or corner features, commonly called interest points are often used for this purpose.
Kerr, D, Coleman, S, Clogenson, M, McGinnity, TM   +3 more
core   +1 more source

A reanalysis of “Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons” [version 1; referees: 2 approved]

F1000Research, 2016
Neuronal activity in the central nervous system varies strongly in time and across neuronal populations. It is a longstanding proposal that such fluctuations generically arise from chaotic network dynamics.
Rainer Engelken, Farzad Farkhooi, David Hansel, Carl van Vreeswijk, Fred Wolf   +4 more
doaj   +1 more source

Complementarity of spike- and rate-based dynamics of neural systems [PDF]

, 2012
Relationships between spiking-neuron and rate-based approaches to the dynamics of neural assemblies are explored by analyzing a model system that can be treated by both methods, with the rate-based method further averaged over multiple neurons to give a ...
P A Robinson, D A Steyn-Ross, B O'Neill, Wilson M. T., Steyn-Ross, D. Alistair, Steyn-Ross D. A., M T Wilson, Robinson P. A., O'Neill B., Robinson, Peter A., Wilson, Marcus T., O'Neill, B.   +11 more
core   +1 more source

Rotational Pattern Recognition by Spiking Correlated Neural Network Based on Dual‐Gated MoS2 Neuristor

Advanced Intelligent Systems, 2020
Beyond the great success in machine learning (ML), the engineering community has been actively exploring neuromorphic computing systems based on spiking neural networks (SNNs).
Lin Bao, Zongwei Wang, Zhizhen Yu, Yaotian Ling, Yimao Cai, Ru Huang   +5 more
doaj   +1 more source

Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition [PDF]

, 2009
Neuromorphic engineering (NE) is an emerging research field that has been attempting to identify neural types of computational principles, by implementing biophysically realistic models of neural systems in Very Large Scale Integration (VLSI) technology.
Douglas, R J, Chicca, E, Douglas, R. J., Douglas, Rodney J., Indiveri, G, Indiveri, G., Indiveri, Giacomo, Chicca, Elisabetta, Chicca, Elisabetta ; https://orcid.org/   +8 more
core   +1 more source

Weak electric fields promote resonance in neuronal spiking activity: Analytical results from two-compartment cell and network models. [PDF]

PLoS Computational Biology, 2019
Transcranial brain stimulation and evidence of ephaptic coupling have sparked strong interests in understanding the effects of weak electric fields on the dynamics of neuronal populations. While their influence on the subthreshold membrane voltage can be
Josef Ladenbauer, Klaus Obermayer
doaj   +1 more source

A computational study on altered theta-gamma coupling during learning and phase coding [PDF]

, 2012
There is considerable interest in the role of coupling between theta and gamma oscillations in the brain in the context of learning and memory. Here we have used a neural network model which is capable of producing coupling of theta phase to gamma ...
Yang Zhan, Haifu Zhou (157350), Zhang Xuejuan, Kendrick Keith M., Zhan Yang, Kendrick, Keith M., Xuejuan Zhang, Zhang, Xuejuan, Zhou Haifu, Jianfeng Feng (48703), Xuejuan Zhang (157336), Zhan, Yang, Keith M. Kendrick (157342), Zhou, Haifu, Haifu Zhou, Yang Zhan (157356), Feng, Jianfeng, Jianfeng Feng, Keith M Kendrick, Feng Jianfeng   +19 more
core   +2 more sources

Macroscopic Description for Networks of Spiking Neurons

Physical Review X, 2015
A major goal of neuroscience, statistical physics, and nonlinear dynamics is to understand how brain function arises from the collective dynamics of networks of spiking neurons.
Ernest Montbrió, Diego Pazó, Alex Roxin   +2 more
doaj   +1 more source