NDLI: Multi-neuron action potentials recorded with tetrode are not instantaneous mixtures of single neuronal action potentials

Content Provider	IEEE Xplore Digital Library
Author	Shiraishi, Y. Katayama, N. Takahashi, T. Karashima, A. Nakao, M.
Copyright Year	2009
Description	Author affiliation: Biomodeling Laboratory, Department of Applied Information Sciences, Graduate School of Information Sciences, Tohoku University, Japan (Shiraishi, Y.; Katayama, N.; Takahashi, T.; Karashima, A.; Nakao, M.)
Abstract	Multiunit recording with multi-site electrodes in the brain has been widely used in neuroscience studies. After the data recording, neuronal spikes should be sorted according to the pattern of spike waveforms. For the spike sorting, independent component analysis (ICA) has recently been used because ICA has potential for resolving the problem to separate the overlapped multiple neuronal spikes. However the performance of spike sorting by using ICA has not been examined in detail. In this study, we quantitatively evaluate the performance of ICA-based spike sorting method by using simulated multiunit signals. The simulated multiunit signal is constructed by compositing real extracellular action potentials recorded from guinea-pig brain. It is found that the spike sorting by using ICA hardly avoids significant false positive and negative errors due to the cross-talk noise contamination on the separated signals. The cross-talk occurs when the multiunit signal of each recording channel have significant time difference; this situation does not satisfy the assumption of instantaneous source mixture for the major ICA algorithms. Since the channel delay problem is hardly resolved, an ICA algorithm which does not require the instantaneous source mixing assumption would be appropriate for use of spike sorting.
Starting Page	4019
Ending Page	4022
File Size	1281579
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333505
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Independent component analysis Sorting Signal resolution Brain modeling Electrodes Neuroscience Extracellular Crosstalk Contamination Delay
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Intrinsic dimensionality of extracellular action potentials

On the Independent Component Analysis of evoked potentials through single or few recording channels

Separation of multiunit signals by independent component analysis in complex-valued time-frequency domain

Improved separability of dipole sources by tripolar versus conventional disk electrodes: A modeling study using independent component analysis

Human motor cortical activity recorded with Micro-ECoG electrodes, during individual finger movements

Effect of transcranial magnetic stimulation on P300 of event-related potential

Estimation of instantaneous power in the EEG to assess brain connectivity with high temporal resolution

An independent-component-analysis-based time-space processor for the identification of neural stimulation sources

Wavelet-based scale-dependent detection of neurological action potentials

Multi-neuron action potentials recorded with tetrode are not instantaneous mixtures of single neuronal action potentials

Similar Documents

Intrinsic dimensionality of extracellular action potentials

On the Independent Component Analysis of evoked potentials through single or few recording channels

Separation of multiunit signals by independent component analysis in complex-valued time-frequency domain

Improved separability of dipole sources by tripolar versus conventional disk electrodes: A modeling study using independent component analysis

Human motor cortical activity recorded with Micro-ECoG electrodes, during individual finger movements

Effect of transcranial magnetic stimulation on P300 of event-related potential

Estimation of instantaneous power in the EEG to assess brain connectivity with high temporal resolution

An independent-component-analysis-based time-space processor for the identification of neural stimulation sources

Wavelet-based scale-dependent detection of neurological action potentials

Multi-neuron action potentials recorded with tetrode are not instantaneous mixtures of single neuronal action potentials