Soft Ultrathin Silicon Electronics for Soft Neural Interfaces: A Review of Recent Advances of Soft Neural Interfaces Based on Ultrathin Silicon

Anish Thukral, Faheem Ershad, Nada Enan, Zhoulyu Rao, Cunjiang Yu

Research output: Contribution to journalReview articlepeer-review

16 Scopus citations

Abstract

Techniques for capturing electrical signals from the brain corresponding to most of the activities (actual or imagined) generated by neuron firing have provided neurologists with a fascinating path to decoding and studying this complex system. Technology to increase the spatiotemporal resolution of brain mapping tools has been advancing, aiming at highly dense electrode sites with the long-term stability of devices and negligible damage to brain tissue.

Original languageEnglish (US)
Pages (from-to)21-34
Number of pages14
JournalIEEE Nanotechnology Magazine
Volume12
Issue number1
DOIs
StatePublished - Mar 2018

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Electrical and Electronic Engineering

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