While technological revolutions in neuroscience now enable us to record from ever increasing numbers of neurons, the number we will be able to record in the forseeable future remains an infinitesimal fraction of the tota

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Date: 2016-06-23 15:50:48 Computational neuroscience Artificial neural networks Neuroscience Nervous system Animal anatomy Brain Neural networks Biology Cellular neural network Neural oscillation		While technological revolutions in neuroscience now enable us to record from ever increasing numbers of neurons, the number we will be able to record in the forseeable future remains an infinitesimal fraction of the tota Add to Reading List Source URL: mmds-data.org Download Document from Source Website File Size: 11,46 KB Share Document on Facebook

	ARTICLE IN PRESS Journal of Phonetics–611 www.elsevier.com/locate/phonetics Meter and speech DocID: 1rqgB - View Document
	1 Below is the unedited draft of the article that has been accepted for publication (©The International Journal of Neuroscience, 2003, V.113. PSYSTEMATIC RULES UNDERLYING SPECTRAL PATTERN VARIABILITY: EXPE DocID: 1roIb - View Document
	1 Below is the unedited draft of the article that has been accepted for publication (© Neuroscience Research, 2010, V. 66, No 3, P.) DocID: 1rjTh - View Document
$While technological revolutions in neuroscience now enable us to record from ever increasing numbers of neurons, the number we will be able to record in the forseeable future remains an infinitesimal fraction of the tota$	While technological revolutions in neuroscience now enable us to record from ever increasing numbers of neurons, the number we will be able to record in the forseeable future remains an infinitesimal fraction of the tota DocID: 1r72e - View Document
	EEG Oscillatory States: Universality, Uniqueness and Specificity across Healthy-Normal, Altered and Pathological Brain Conditions Alexander A. Fingelkurts*, Andrew A. Fingelkurts BM-Science – Brain and Mind Technologie DocID: 1r4ZC - View Document