Whisking is the natural way for the rodents to explore the environment. Using the Local Field Potentials (LFPs) recorded from the barrel columns of the rat somatosensory cortex (S1) is one of the ways to extract information about the signal processing pathway during tactile information processing. Studies have shown that intra-and trans-columnar microcircuits in the barrel cortex segregate and integrate information during this pathway activation. During each experiment many single sweeps (sometimes referred as raw traces) of signal are recorded as a result of underlying network activity and averaged to extract information from them. However, mostly these single sweeps are very different in their shapes and extracting the information provided by the shape is the most common way to decode the transmitted information about the network. In this work, we propose a method capable of classifying these single sweeps from an experiment based on their shapes. The shape specific information of the single sweeps provided by this method can be used in decoding the tactile information processing pathway with a higher precision.

A Contour Based Automatic Method to Classify Local Field Potentials Recorded from Rat Barrel Cortex

MAHMUD, MUFTI;BERTOLDO, ALESSANDRA;GIRARDI, STEFANO;MASCHIETTO, MARTA;VASSANELLI, STEFANO
2010

Abstract

Whisking is the natural way for the rodents to explore the environment. Using the Local Field Potentials (LFPs) recorded from the barrel columns of the rat somatosensory cortex (S1) is one of the ways to extract information about the signal processing pathway during tactile information processing. Studies have shown that intra-and trans-columnar microcircuits in the barrel cortex segregate and integrate information during this pathway activation. During each experiment many single sweeps (sometimes referred as raw traces) of signal are recorded as a result of underlying network activity and averaged to extract information from them. However, mostly these single sweeps are very different in their shapes and extracting the information provided by the shape is the most common way to decode the transmitted information about the network. In this work, we propose a method capable of classifying these single sweeps from an experiment based on their shapes. The shape specific information of the single sweeps provided by this method can be used in decoding the tactile information processing pathway with a higher precision.
2010
Proceedings of the 5th Cairo International Conference on Biomedical Engineering (CIBEC2010)
Biomedical Engineering Conference (CIBEC), 2010 5th Cairo International
9781424471683
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2436726
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 10
  • ???jsp.display-item.citation.isi??? 7
  • OpenAlex ND
social impact