Literature DB >> 16550391

How silent is the brain: is there a "dark matter" problem in neuroscience?

Shy Shoham1, Daniel H O'Connor, Ronen Segev.   

Abstract

Evidence from a variety of recording methods suggests that many areas of the brain are far more sparsely active than commonly thought. Here, we review experimental findings pointing to the existence of neurons which fire action potentials rarely or only to very specific stimuli. Because such neurons would be difficult to detect with the most common method of monitoring neural activity in vivo-extracellular electrode recording-they could be referred to as "dark neurons," in analogy to the astrophysical observation that much of the matter in the universe is undetectable, or dark. In addition to discussing the evidence for largely silent neurons, we review technical advances that will ultimately answer the question: how silent is the brain?

Mesh:

Year:  2006        PMID: 16550391     DOI: 10.1007/s00359-006-0117-6

Source DB:  PubMed          Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol        ISSN: 0340-7594            Impact factor:   1.836


  50 in total

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  74 in total

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6.  Physical principles for scalable neural recording.

Authors:  Adam H Marblestone; Bradley M Zamft; Yael G Maguire; Mikhail G Shapiro; Thaddeus R Cybulski; Joshua I Glaser; Dario Amodei; P Benjamin Stranges; Reza Kalhor; David A Dalrymple; Dongjin Seo; Elad Alon; Michel M Maharbiz; Jose M Carmena; Jan M Rabaey; Edward S Boyden; George M Church; Konrad P Kording
Journal:  Front Comput Neurosci       Date:  2013-10-21       Impact factor: 2.380

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9.  On the Complexity of Resting State Spiking Activity in Monkey Motor Cortex.

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Review 10.  Improving data quality in neuronal population recordings.

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Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

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