Jump to ContentJump to Main Navigation
Single Neuron Studies of the Human BrainProbing Cognition$
Users without a subscription are not able to see the full content.

Itzhak Fried, Ueli Rutishauser, Moran Cerf, and Gabriel Kreiman

Print publication date: 2014

Print ISBN-13: 9780262027205

Published to MIT Press Scholarship Online: January 2015

DOI: 10.7551/mitpress/9780262027205.001.0001

Show Summary Details
Page of

PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2017. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use (for details see http://www.mitpress.universitypressscholarship.com/page/privacy-policy).date: 20 October 2017

Data Analysis Techniques for Human Microwire Recordings: Spike Detection and Sorting, Decoding, Relation between Neurons and Local Field Potentials

Data Analysis Techniques for Human Microwire Recordings: Spike Detection and Sorting, Decoding, Relation between Neurons and Local Field Potentials

Chapter:
(p.59) 6 Data Analysis Techniques for Human Microwire Recordings: Spike Detection and Sorting, Decoding, Relation between Neurons and Local Field Potentials
Source:
Single Neuron Studies of the Human Brain
Author(s):

Itzhak Fried

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262027205.003.0006

This chapter provides a technical perspective on the procedures for an experiment to proceed from the acquisition of continuously sampled data from microwires all the way to points of time a putative single neuron fired a spike, to local field potential recordings and to decoding neurophysiological signals in single trials and in real time. We review the technical challenges that arise and the range of approaches that have proven to be useful for addressing them. Particular emphasis is placed on practical issues that play a crucial role in producing reliable and reproducible data. Methods reviewed include spike detection, spike sorting, spike field coherence, phase locking, local field potentials, decoding, and real-time experiments.

Keywords:   Spike sorting, spike detection, closed-loop, machine learning, quality metrics

MIT Press Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us.