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   * Podcasts
     Listen to industry and research specialists discuss cutting-edge
     neurotechnology and associated career paths.
     
     Webinars
     Learn from top subject matter experts in brain research and
     neurotechnology.
     
     eLearning Modules
     Dive deep with subject experts into key brain-related topic areas.
   
   * Video Series
     Access conversations with the industry's best of the best.
     
     Presentations
     Discover more about the future of neurotechnology.
 * Publications
   
   * BrainInsight
     Featuring news and forward-looking commentary on neurotechnology research.
     
     IEEE Neuroethics Framework
     Examining the ethical, legal, social, and cultural issues that arise with
     development and use of neurotechnologies.
   
   * IEEE Brain Talks
     Highlighting Q&As with brain experts and industry leaders.
     
     Research & White Papers
     Identifying key challenges and advances required to successfully develop
     next generation neurotechnologies.
 * Resources
   
   * Brain Topics
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IEEE Signal Processing Call for Papers
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Accelerating Brain Discovery
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Neuroethics 2025
Neuroethics 2025
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EPISODE 26

Q&A with Brad Aimone

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A VISION FOR THE ADVANCEMENT OF IEEE BRAIN

Metin Akay, 2024 Chair, IEEE Brain

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IEEE BRAIN NEUROETHICS FRAMEWORK



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IEEE SMC 11TH WORKSHOP ON BMI SYSTEMS

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2021 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGY AND SOCIETY (ISTAS)

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IEEE BRAIN: FUTURE DIRECTIONS IN CONSUMER NEUROTECHNOLOGY

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MAPPING THE MIND’S EYE

October 26, 2021ieeebrain
26 October 2021, Arizona State University News“Specific areas of the human brain
process different functions, such as the auditory cortex for hearing and the
olfactory cortex for smell. Among these functional areas, the single largest is
devoted to vision. The dominance of the visual cortex may not be surprising
given the importance of sight to…...
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LEARNING FROM IMAGING DATA TO MODEL BRAIN ACTIVITY

October 18, 2021ieeebrain
18 October 2021, IBM Research“In this article, we introduce VanDEEPol, a hybrid
AI/mechanistic model to predict brain activity and structure from imaging data.
The model significantly boosts predictive accuracy compared to previous methods.
By predicting brain activity from relatively sparse imaging data, VanDEEPol may
eventually help to detect medical disorders or design brain-computer
interfaces.”...
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