Results 221 to 230 of about 398,570 (269)

Correction: Biomimetic engineering for water harvesting: 3D printed solutions for arid regions.

RSC Appl Interfaces
Apsey H, Hill D, Alexander S.
europepmc   +1 more source

Temporal Gating by Chandelier Cells Encodes Signed Prediction Errors

Bendor D, Jarzebowski P.
europepmc   +1 more source

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Morphology of spikes in spike-and-wave complexes

Electroencephalography and Clinical Neurophysiology, 1988
The morphology of spikes of spike-and-wave complexes from 9 patients with primary generalised epilepsy was studied from the scalp recordings of electrodes placed over their fields of maximum expression. Using a 4 x 4 grid electrode placement, selected epochs of the EEG were digitised and stored by a computer program which determined the times of the ...
W T, Blume, J F, Lemieux
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ESTIMATION OF SPIKED EIGENVALUES IN SPIKED MODELS

Random Matrices: Theory and Applications, 2012
The paper proposes new estimators of spiked eigenvalues of the population covariance matrix from the sample covariance matrix and investigates its consistency and asymptotic normality.
Bai, Zhidong, Ding, Xue
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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
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EXTENDED SPIKING NEURAL P SYSTEMS WITH DECAYING SPIKES AND/OR TOTAL SPIKING

International Journal of Foundations of Computer Science, 2008
We consider extended variants of spiking neural P systems with decaying spikes (i.e., the spikes have a limited lifetime) and/or total spiking (i.e., the whole contents of a neuron is erased when it spikes). Although we use the extended model of spiking neural P systems, these restrictions of decaying spikes and/or total spiking do not allow for the ...
Rudolf Freund, Mihai Ionescu, Marion Oswald   +2 more
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To spike or not to spike: A probabilistic spiking neuron model

Neural Networks, 2010
Spiking neural networks (SNN) are promising artificial neural network (ANN) models as they utilise information representation as trains of spikes, that adds new dimensions of time, frequency and phase to the structure and the functionality of ANN.
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Spike responses of ‘non-spiking’ visual interneurone

Nature, 1977
OUR understanding of information processing in nerve nets has been modified by the concept of graded signal transmission1. Descriptions of non-spiking interneurones in insects2–8, and the demonstration of graded synaptic transmission3 have contributed to this development. In the fly visual nervous system, second and higher order interneurones are known,
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Spike (Design Spike)

2018
A Spike is a solution-specific experiment, often taking place during an entire sprint, but sometimes in shorter durations, aimed at answering a question or gathering information important to the team’s success.
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