A high resolution bi-directional communication through a brain-chip interface

  • Marta Maschietto
  • , Girardi Stefano
  • , Mufti Mahmud
  • , Stefano Vassanelli*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Existing brain-machine interfacing techniques allow either high precision recordings from one or a few single neurons, or low spatial resolution recordings with a sparse sampling within the networks. Through our app-roach an efficient simultaneous bidirectional communication to the brain is realized using capacitively coupled recording and stimulation sites arranged in a large 2D multi-transistor array (MTA) with 1000 elements, integrated to a planar chip at high resolution (10μm pitch and below). The aim of the present work is to evaluate the reliability of a simple-generation silicon micro-device in recording neuronal signals from rat brain. Simultaneous recording of signals using this chip from the somatosensory cortex (S1) of living rat, are compared to standard in vivo recordings with a glass micropipette. We show that the two types of signals are identical, indicating the possibility to record signals at the same time from different sites and to perform a real-time electrical imaging of the brain cortex in vivo.

Original languageEnglish
Title of host publicationProceedings - 2009 Advanced Technologies for Enhanced Quality of Life, AT-EQUAL 2009
Pages32-35
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 Advanced Technologies for Enhanced Quality of Life, AT-EQUAL 2009 - Iasi, Romania
Duration: 22 Jul 200926 Jul 2009

Publication series

NameProceedings - 2009 Advanced Technologies for Enhanced Quality of Life, AT-EQUAL 2009

Conference

Conference2009 Advanced Technologies for Enhanced Quality of Life, AT-EQUAL 2009
Country/TerritoryRomania
CityIasi
Period22/07/0926/07/09

Keywords

  • Brain cortex
  • EOSFET
  • Electrical imaging
  • MTA
  • Neuronal activity
  • Silicon chip

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Medicine (miscellaneous)

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