Results 11 to 20 of about 4,781,385 (251)
A Neuron Model for FPGA Spiking Neuronal Network Implementation
We propose a neuron model, able to reproduce the basic elements of the neuronal dynamics, optimized for digital implementation of Spiking Neural Networks. Its architecture is structured in two major blocks, a datapath and a control unit.
BONTEANU, G., TIGAERU, L.
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Dynamic Image Representation in a Spiking Neural Network Supplied by Astrocytes
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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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
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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Synchronization and Rhythm Transition in a Complex Neuronal Network
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.
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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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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Bifurcations of emergent bursting in a neuronal network [PDF]
Complex neuronal networks are an important tool to help explain paradoxical phenomena observed in biological recordings. Here we present a general approach to mathematically tackle a complex neuronal network so that we can fully understand the underlying
Wu Yu +14 more
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Recurrently connected and localized neuronal communities initiate coordinated spontaneous activity in neuronal networks. [PDF]
Developing neuronal systems intrinsically generate coordinated spontaneous activity that propagates by involving a large number of synchronously firing neurons.
Davide Lonardoni +5 more
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Independent component analysis in spiking neurons [PDF]
Although models based on independent component analysis (ICA) have been successful in explaining various properties of sensory coding in the cortex, it remains unclear how networks of spiking neurons using realistic plasticity rules can realize such ...
Cristina Savin +8 more
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