Dr. Jose Carmena is a co-chair of IEEE Brain, which facilitates cross-disciplinary collaboration and coordination to advance research, standardization and development of technologies in neuroscience to help improve the human condition. He is Chancellor’s Professor of Electrical Engineering and Neuroscience and Co-Director of the Center for Neural Engineering and Prostheses (CNEP) in the Department of Electrical Engineering & Computer Sciences of the Helen Wills Neuroscience Institute at the University of California, Berkeley.
Q&A with Dr. Kip Ludwig, Associate Director of the Mayo Clinic Neural Engineering Laboratories
In partnership with IEEE EMBS. Kip Ludwig started his career in the bio-chemical/bio-molecular field, but when a rat beat him at a video game using Brain Machine Interfaces, he knew his future was in neurotechnology. Dr. Ludwig, Mayo Clinic Neural Engineering Laboratories Associate Director, has dedicated his career and his research to the field of neurotechnology and has made incredible …
Author Information for One-page Papers for the 2018 IEEE Brain Initiative Workshop on Advanced NeuroTechnologies
The 2018 IEEE Brain Initiative Workshop on Advanced NeuroTechnologies is accepting one-page papers on the following topics and other related area: Neural signal processing and imaging Neural computation and modeling Cognitive engineering and decision making Neural modulation and stimulation Bioelectronic medicine Neural interfaces, implants, and prostheses Brain and body computer interfaces Biomaterials for neural tissue engineering Neural rehabilitation Translational neural …
Viva Las Vegas: Insights from the Int Conference on Consumer Electronics and CES 2018
STUDENT CORNER
Anya Stetsenko, N. Nan Chu
The IEEE Brain Initiative kick-started the Brain Data Bank (BDB) Challenges and Competitions at the Pavlov Institute of Physiology, St. Petersburg, Russia, on June 26 & 27, 2017. Anya Stetsenko was one of the first participants, on the winning group, Team 1.1.1.1.1.
Cortico-Striatal Circuits are a Key Component of Learning in brain-machine interface tasks
RESEARCH
Ryan Neely, Aaron Koralek, Vivek Athalye, Rui Costa, Jose Carmena
Establishing a functional link between the human nervous system and computer systems could enable a broad range of applications, from medical treatments to consumer-focused products. Brain-machine interface (BMI) technologies have shown early promise in restoring communication and movement capabilities to paralyzed individuals, and there remains a strong research as well as commercial interest in developing these technologies further. Many BMI systems work by measuring neural signals, and “decoding” these signals to produce activity in an artificial effector- for example, a computer cursor or robotic appendage…
Q&A with Dr. Maryam Shanechi, Assistant Professor and Viterbi Early Career Chair in Electrical Engineering, University of Southern California (Part 2)
In this podcast, we continue our conversation with Dr. Maryam Shanechi, USC, Assistant Professor and Viterbi Early Career Chair in Electrical Engineering. Dr. Shanechi’s research focuses on decoding and manipulating brain signals. In this second podcast, she shares an overview of her work on Brain-Machine Interface (BMI) design and how she hopes to use BMIs to restore motor function, control …
Wearable Microwave Imager and BMI Development
RESEARCH
Joel Libove, David Schriebman and Mike Ingle
Ultrawideband microwave pulses having widths of 20-50 picoseconds can penetrate the skull and travel into deep brain tissues. Recently developed radar integrated circuits can generate customizable pulses, launch them into the cortex, and monitor the resulting reflections from brain tissue boundaries. The amplitude of these reflections varies slightly, in real time, due to metabolic changes in brain tissue undergoing localized activity, enabling functional activity to be spatially mapped. The arrival time of these reflections also varies with the pulsation of arterial walls, additionally facilitating real-time imaging of neurovascular structures. A helmet under development, with 128 dual-channel radar ICs shows promise for enabling a wearable brain machine interface.
The Potential of Neuroimaging-Guided Sensorimotor Rehabilitation
RESEARCH
James Sulzer, Roger Gassert
Stroke, caused by a cerebrovascular lesion, is one of the most debilitating diseases in the world. While physical and occupational therapy play an important role in the rehabilitation process, we are still unable to determine effective treatment strategies for the reduction of stroke-related impairments. It appears that reducing impairments after stroke may be mostly spontaneous and that therapy primarily supports compensation. Despite the source of the injury in the brain, treatment strategies are only at the limb level. The focus on the limbs while brain reorganization goes unmonitored could controversially result in compensatory neuroplasticity that limits recovery.
Exploiting DNA Sequencing Technology for High-Throughput Neuroanatomy
RESEARCH
Justus M Kebschull
The brain is the most complex organ of the body, formed by billions of neurons and trillions of synapses, all precisely connected by 100,000 miles of wiring. Understanding how the brain processes information relies, at least in part, on understanding these connections. However, in mammals, we still lack a fine-resolution map of neural connectivity.
2018 IEEE Brain Initiative Workshop on Advanced NeuroTechnologies
IEEE Brain Initiative Workshop on Advanced NeuroTechnologies November 1-2, 2018 – San Diego, California, USA Recorded Presentations 1-pg Papers Final Program (PDF) About There is an increasing interest and need in the development and use of advanced technologies to monitor and control brain activities to treat neurological diseases, including Alzheimer’s, Epilepsy, Depression, etc., from the molecular to systemic levels, The …
