Results 11 to 20 of about 52,867 (269)
Macroscopic Description for Networks of Spiking Neurons [PDF]
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 +2 more
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Inverse stochastic resonance in networks of spiking neurons. [PDF]
PLoS Computational Biology, 2017 Inverse Stochastic Resonance (ISR) is a phenomenon in which the average spiking rate of a neuron exhibits a minimum with respect to noise. ISR has been studied in individual neurons, but here, we investigate ISR in scale-free networks, where the average ...
Muhammet Uzuntarla +2 more
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Spiking neuron network Helmholtz machine [PDF]
Frontiers in Computational Neuroscience, 2015 An increasing amount of behavioral and neurophysiological data suggests that the brain performs optimal (or near-optimal) probabilistic inference and learning during perception and other tasks. Although many machine learning algorithms exist that perform inference and learning in an optimal way, the complete description of how one of those algorithms ...
Pavel eSountsov +3 more
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Neuron Fault Tolerance in Spiking Neural Networks [PDF]
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021 The error-resiliency of Artificial Intelligence (AI) hardware accelerators is a major concern, especially when they are deployed in mission-critical and safety-critical applications. In this paper, we propose a neuron fault tolerance strategy for Spiking Neural Networks (SNNs).
Spyrou, Theofilos +5 more
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Dynamic Image Representation in a Spiking Neural Network Supplied by Astrocytes
Mathematics, 2023 The mathematical model of the spiking neural network (SNN) supplied by astrocytes is investigated. The astrocytes are a specific type of brain cells which are not electrically excitable but induce chemical modulations of neuronal firing.
Sergey V. Stasenko, Victor B. Kazantsev
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Image clustering with spiking neuron network [PDF]
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008 The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images. Artificial neural networks have been well developed. First two generations of neural networks have a lot of successful applications.
Meftah, Boudjelal +3 more
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Belief Propagation in Networks of Spiking Neurons [PDF]
Neural Computation, 2009 From a theoretical point of view, statistical inference is an attractive model of brain operation. However, it is unclear how to implement these inferential processes in neuronal networks. We offer a solution to this problem by showing in detailed simulations how the belief propagation algorithm on a factor graph can be embedded in a network of ...
Steimer, A, Maass, W, Douglas, Rodney
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Micromachines, 2023 The complex synaptic connectivity architecture of neuronal networks underlies cognition and brain function. However, studying the spiking activity propagation and processing in heterogeneous networks in vivo poses significant challenges.
Yana Pigareva +7 more
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Stationary Bumps in Networks of Spiking Neurons [PDF]
Neural Computation, 2001 We examine the existence and stability of spatially localized “bumps” of neuronal activity in a network of spiking neurons. Bumps have been proposed in mechanisms of visual orientation tuning, the rat head direction system, and working memory. We show that a bump solution can exist in a spiking network provided the neurons fire asynchronously within ...
Laing, Carlo R., Chow, Carson C.
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Bursting Dynamics of Spiking Neural Network Induced by Active Extracellular Medium
Mathematics, 2023 We propose a mathematical model of a spiking neural network (SNN) that interacts with an active extracellular field formed by the brain extracellular matrix (ECM). The SNN exhibits irregular spiking dynamics induced by a constant noise drive.
Sergey V. Stasenko, Victor B. Kazantsev
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