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Editorial for Special Issue on Accelerating Brain Discovery Through Data Science and Neurotechnology: Part 2 [From the Guest Editors]

Vince D. Calhoun, Damien Coyle, Javier Escudero, Borbala Hunyadi, Jing Sui

Research output: Contribution to journalEditorialpeer-review

Abstract

The study of the brain remains one of the most intricate and compelling frontiers of scientific research. With the advent of advanced neurotechnology and data science, we stand on the brink of unprecedented discoveries that could help unravel the complexities of brain function and dysfunction. This special issue is in part motivated by discussions arising from the highly successful IEEE Brain Discovery and Neurotechnology Workshop, a satellite event to the Society for Neuroscience. As an IEEE-wide effort, the IEEE Brain Technical Community brings together engineers, computer scientists, and neuroscientists to advance neurotechnology through collaboration, research, and standardization. Its purpose is to accelerate ethical and responsible development of brain-related technologies, foster new initiatives, and connect academia, industry, and government.

Original languageEnglish
Pages (from-to)5-7
Number of pages3
JournalIEEE Signal Processing Magazine
Volume42
Issue number5
DOIs
Publication statusPublished - 30 Sept 2025

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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