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Description of morphological characteristics of wheat spike as a digital certificate in the SpikeDroidDB database. [PDF]

open access: yesVavilovskii Zhurnal Genet Selektsii
Komyshev EG   +7 more
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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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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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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   +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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Midline Spikes

Clinical EEG and Neuroscience, 2008
Midline spikes are characterized by spike foci recorded at Cz, Fz, or Pz with amplitude ranging from 20 to 350 microvolts. Out of 7,929 EEGs performed at the Neurodiagnostics Laboratory, Kaiser Permanente Medical Center, Anaheim, California, between 1996 and 2006, 17 EEGs (0.21%) were identified as having interictal midline spikes with or without other
T, Yong   +8 more
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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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