Skip to main content

Research Repository

Advanced Search

Single LFP sorting for high-resolution brain-chip interfacing

Mahmud, Mufti; Travalin, Davide; Hussain, Amir; Girardi, Stefano; Maschietto, Marta; Felderer, Florian; Vassanelli, Stefano

Authors

Mufti Mahmud

Davide Travalin

Stefano Girardi

Marta Maschietto

Florian Felderer

Stefano Vassanelli



Abstract

Understanding cognition has fascinated many neuroscientists and made them put their efforts in deciphering the brain’s information processing capabilities for cognition. Rodents perceive the environment through whisking during which tactile information is processed at the barrel columns of the somatosensory cortex (S1). The intra– and trans–columnar microcircuits in the barrel cortex segregate and integrate information during activation of this pathway. Local Field Potentials (LFPs) recorded from these barrel columns provide information about the microcircuits and the shape of the LFPs provide the fingerprint of the underlying neuronal network. Through a contour based sorting method, we could sort neuronal evoked LFPs recorded using high–resolution Electrolyte–Oxide–Semiconductor Field Effect Transistor (EOSFET) based neuronal probes. We also report that the latencies and amplitudes of the individual LFPs’ shapes vary among the different clusters generated by the method. The shape specific information of the single LFPs thus can be used in commenting on the underlying neuronal network generating those signals.

Presentation Conference Type Conference Paper (Published)
Conference Name BICS 2012: 5th International Conference on Brain Inspired Cognitive Systems
Start Date Jul 11, 2012
End Date Jul 14, 2012
Publication Date 2012
Deposit Date Oct 17, 2019
Publisher Springer
Pages 329-337
Series Title Lecture Notes in Computer Science
Series Number 7366
Series ISSN 0302-9743
Book Title Advances in Brain Inspired Cognitive Systems
ISBN 9783642315602
DOI https://doi.org/10.1007/978-3-642-31561-9_37
Keywords Neuronal probe; whisker stimulation; evoked brain activity; neuronal signal; neuronal signal analysis
Public URL http://researchrepository.napier.ac.uk/Output/1793285