DocumentCode
2495411
Title
Decoding ensemble activity from neurophysiological recordings in the temporal cortex
Author
Kreiman, Gabriel
Author_Institution
Swartz Center for Theor. Neurosci., Harvard Univ. & Children´´s Hosp., Boston, MA, USA
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
5904
Lastpage
5907
Abstract
We study subjects with pharmacologically intractable epilepsy who undergo semi-chronic implantation of electrodes for clinical purposes. We record physiological activity from tens to more than one hundred electrodes implanted in different parts of neocortex. These recordings provide higher spatial and temporal resolution than non-invasive measures of human brain activity. Here we discuss our efforts to develop hardware and algorithms to interact with the human brain by decoding ensemble activity in single trials. We focus our discussion on decoding visual information during a variety of visual object recognition tasks but the same technologies and algorithms can also be directly applied to other cognitive phenomena.
Keywords
biomedical electrodes; brain; decoding; diseases; medical signal detection; medical signal processing; neurophysiology; object recognition; prosthetics; cognitive phenomena; ensemble activity decoding; human brain activity; neocortex; neurophysiological recordings; pharmacologically intractable epilepsy; semichronic implantation; spatial resolution; temporal cortex; temporal resolution; visual information; visual object recognition; Brain; Decoding; Electric potential; Electrodes; Epilepsy; Humans; Visualization; Algorithms; Brain Mapping; Diagnosis, Computer-Assisted; Electroencephalography; Epilepsy; Humans; Nerve Net; Reproducibility of Results; Sensitivity and Specificity; Temporal Lobe;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6091460
Filename
6091460
Link To Document