Publication Date:
2014-05-09
Description:
Although neuronal spikes can be readily detected from extracellular recordings, synaptic and subthreshold activity remains undifferentiated within the local field potential (LFP). In the hippocampus, neurons discharge selectively when the rat is at certain locations, while LFPs at single anatomical sites exhibit no such place-tuning. Nonetheless, because the representation of position is sparse and distributed, we hypothesized that spatial information can be recovered from multiple-site LFP recordings. Using high-density sampling of LFP and computational methods, we show that the spatiotemporal structure of the theta rhythm can encode position as robustly as neuronal spiking populations. Because our approach exploits the rhythmicity and sparse structure of neural activity, features found in many brain regions, it is useful as a general tool for discovering distributed LFP codes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Agarwal, Gautam -- Stevenson, Ian H -- Berenyi, Antal -- Mizuseki, Kenji -- Buzsaki, Gyorgy -- Sommer, Friedrich T -- 1F32MH093048/MH/NIMH NIH HHS/ -- 337075/European Research Council/International -- MH-54671/MH/NIMH NIH HHS/ -- NS-034994/NS/NINDS NIH HHS/ -- NS074015/NS/NINDS NIH HHS/ -- New York, N.Y. -- Science. 2014 May 9;344(6184):626-30. doi: 10.1126/science.1250444.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Redwood Center for Theoretical Neuroscience, University of California, Berkeley, Berkeley, CA 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24812401" target="_blank"〉PubMed〈/a〉
Keywords:
Animals
;
Hippocampus/cytology/*physiology
;
Maze Learning
;
Neurons/physiology
;
Periodicity
;
Rats
;
Running
;
Spatio-Temporal Analysis
;
Synaptic Potentials/*physiology
;
Theta Rhythm
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
