Results 211 to 220 of about 25,328 (252)

Neuronal silence as a predictive biomarker and target for epileptic seizures suppression. [PDF]

Sci Rep
Souza DLM, Bentivoglio LE, Gabrick EC, Protachevicz PR, Caldas IL, Iarosz KC, Dura-Bernal S, Batista AM, Borges FS.   +8 more
europepmc   +1 more source

Spiking Neuron with Sensing Coil Based on a Volatile Memristor. [PDF]

Sensors (Basel)
Karimov T, Rybin V, Pchelko V, Mikhailov A, Bobrova Y, Butusov D.   +5 more
europepmc   +1 more source

Voltage imaging as a window into neural computation. [PDF]

Neurophotonics
Keijser J, Sadeh S.
europepmc   +1 more source

Intensity-dependent tACS entrainment effects in a cortical microcircuit: a computational study. [PDF]

Sci Rep
Park K, Chung H, Seo H, Jun SC.
europepmc   +1 more source

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Burst synchronization of inhibitory spiking neuronal networks

2015 11th International Conference on Natural Computation (ICNC), 2015
Synchronized firing of spiking neuronal systems is considered to be crucial in the brain signal transmission and coding. In this paper, we incorporate a slow calcium ion channel into the classical Hodgkin-Huxley neuronal model and use it to construct spiking neuronal networks with heterogeneous neurons coupled by delayed chemical synapses, then explore
Yiming Geng, Mengting Li, Qi Shi 0006, Fang Han, Zhijie Wang 0001   +4 more
exaly   +2 more sources

Decoding spikes in a spiking neuronal network

Journal of Physics A: Mathematical and General, 2004
Summary: We investigate how to reliably decode the input information from the output of a spiking neuronal network. A maximum likelihood estimator of the input signal, together with its Fisher information, is rigorously calculated. The advantage of the maximum likelihood estimation over the 'brute-force rate coding' estimate is clearly demonstrated. It
Feng, Jianfeng, Ding, Mingzhou
openaire   +2 more sources

Image Segmentation by Networks of Spiking Neurons

Neural Computation, 2005
A network of leaky integrate-and-fire (IAF) neurons is proposed to segment gray-scale images. The network architecture with local competition between neurons that encode segment assignments of image blocks is motivated by a histogram clustering approach to image segmentation. Lateral excitatory connections between neighboring image sites yield a local
Buhmann JM, Lange T, Ramacher U
openaire   +4 more sources

Synchrony in Heterogeneous Networks of Spiking Neurons

Neural Computation, 2000
The emergence of synchrony in the activity of large, heterogeneous networks of spiking neurons is investigated. We define the robustness of synchrony by the critical disorder at which the asynchronous state becomes linearly unstable. We show that at low firing rates, synchrony is more robust in excitatory networks than in inhibitory networks, but ...
L. Neltner, David Hansel, Germán Mato, Claude Meunier   +3 more
openaire   +2 more sources

Stimulus discrimination in networks of spiking neurons

The 2013 International Joint Conference on Neural Networks (IJCNN), 2013
Discriminating amongst stimuli in the environment is a fundamental aspect of brain function. Research has shown that chaotic neural networks are exquisitely sensitive to small perturbations making them unreliable and unpredictable. Here, we examine how neuronal oscillations (i.e., temporal waves of activity) may be tuned to enhance the discrimination ...
Eric S. Kuebler, Elise Bonnema, James McCorriston, Jean-Philippe Thivierge   +3 more
openaire   +1 more source