The IEEE Brain Initiative eNewsletter is a quarterly online publication launched in January 2017. It features practical and timely information and forward-looking commentary on neurotechnologies and neuroengineering. eNewsletter articles can describe recent breakthroughs in research, primers on methods of interests, or report recent events such as conferences or workshops. You can contact the eNewsletter editor with any questions concerning the topic or content of your article.

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Towards the Design of BCI-based Accelerated Training System for Air Traffic Controllers

Communicated by Distinguished Professor Chin-Teng Lin 

May 2022

Chin-Teng Lin and Alka Rachel John

Humans are easily overwhelmed with tasks that push them beyond their capabilities. Despite their remarkable resilience to diverse working conditions, the work environment must be adapted to afford comfortable interactions with human operator abilities. Modern work environments position human operators at a supervisory level where they have extensive interactions with technology and must integrate multiple streams of information, demanding more cognitive resources and resulting in a higher workload in the human operators. 

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Distributed Wireless Networks of Microimplants for Neural Recording and Stimulation

May 2022

Jihun Lee, Ahhyoung Lee, Vincent Leung, Farah Laiwalla, Arto Nurmikko

The concept of brain circuits computing as an extended network, composed of billions of neurons represents a contemporary view which is exploited in research of brain-machine interfaces (BMI). Population dynamics recorded from ensembles of neurons have been dominated by intracortical silicon-based microelectrode arrays (MEA), monolithic ‘beds of needles’, wired to external signal processing electronics. The work has deepened our understanding of underlying functional principles especially of the motor cortex as a network, leading to first clinical trials of human BMIs. The importance of computational techniques in neural decoding in this highly undersampled circumstance is demonstrated in the example study: e.g. recent work by the Stanford group where pattern recognition of spiking neural population has demonstrated a BMI hand writing-to-text capability. A forward-looking question is about the type of neural recording device technologies which are scalable and able to access a much larger number of neurons for decoding complex motor, sensory, and perhaps even cognitive tasks.

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IEEE BrainInsight

Wyss Center for Bio and Neuroengineering: Accelerating Neurotechnology Development

T. Laabs

Tech billionaires are investing in neurotechnology with optimism. Elon Musk, Brian Johnson and Marc Zuckerberg, to name a few, cite enhancing human intelligence, boosting memory, and electronically sharing full sensory and emotional experiences as their goals. But is money enough to drive a revolution in neurotech or could the readiness level of the technology curtail their ambitions?

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IEEE DataPort


Would you like to get more exposure for your valuable Brain or Neuroscience research? Do you have datasets that require long-term storage and easy access long-term? You are invited to experience the exciting new data repository developed by IEEE called IEEE DataPort™! This IEEE data repository offers many benefits to researchers, data analysts, and institutions around the globe, and it is currently available at no cost.

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Call for Participation: 2017 IEEE Brain Data Bank Challenges and Competitions


The IEEE Brain Initiative, in partnership with the IEEE Big Data Initiative and the IEEE Consumer Electronics Society, is excited to sponsor new competition opportunities throughout 2017, to explore Brain Data storage retrieval and analytics, the so called Brain Data Bank (BDB) Competitions. This “Call for Participation” is an extension of the popular brain-computer interface (BCI) Hackathons held in the prior year.

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Welcome to BrainInsight

R. Chavarriaga

Welcome to the inaugural issue of BrainInsight, a quarterly online publication of the IEEE brain initiative. This is a space for the IEEE Brain community to share technical information and forward-looking commentary on brain-related research and technologies.

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A Long Path Towards Restoring Locomotion After Spinal Cord Injury

M. Capogrosso, T. Milekovic, G. Courtine

A century of research in spinal cord physiology has demonstrated that the circuits embedded in the lumbar spinal cord of mammals can autonomously produce repetitive patterns of motor activity resembling locomotion [1]. After a spinal cord injury (SCI), however, the neural pathways carrying information between the brain and these spinal circuits, usually located below the injury, are partly or completely interrupted. While the lumbar circuits are intact, this interruption disrupts or abolishes volitional leg movements.

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