Results 21 to 30 of about 25,328 (252)
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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The Geometry of Spontaneous Spiking in Neuronal Networks [PDF]
Journal of Nonlinear Science, 2012 The mathematical theory of pattern formation in electrically coupled networks of excitable neurons forced by small noise is presented in this work. Using the Freidlin-Wentzell large deviation theory for randomly perturbed dynamical systems and the elements of the algebraic graph theory, we identify and analyze the main regimes in the network dynamics ...
Georgi S. Medvedev, Svitlana Zhuravytska
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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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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.
Boudjelal Meftah +3 more
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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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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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Associative memory in a network of ‘spiking’ neurons [PDF]
Network: Computation in Neural Systems, 1992 The Hopfield network provides a simple model of an associative memory in a neuronal structure. It is, however, based on highly artificial assumptions, especially the use of formal two-state neurons or graded-response neurons. The authors address the question of what happens if formal neurons are replaced by a model of ‘spiking’ neurons.
Gerstner, Wulfram, van Hemmen, J. Leo
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Synchronization and Rhythm Transition in a Complex Neuronal Network
IEEE Access, 2020 Synchronization and rhythm transition in an excitatory-inhibitory balanced cortical neuronal network are investigated in this paper. A small-world neuronal network is performed to be the cortical region of cerebral cortex, which is composed of different ...
Yuan Wang +3 more
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Network resonance can be generated independently at distinct levels of neuronal organization.
PLoS Computational Biology, 2022 Resonance is defined as maximal response of a system to periodic inputs in a limited frequency band. Resonance may serve to optimize inter-neuronal communication, and has been observed at multiple levels of neuronal organization.
Eran Stark +2 more
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eLife, 2021 Neuronal activity correlations are key to understanding how populations of neurons collectively encode information. While two-photon calcium imaging has created a unique opportunity to record the activity of large populations of neurons, existing methods
Anuththara Rupasinghe +5 more
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