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Brain-Implantable Computing Platforms for Emerging Neuroscience Applications

Brain-Implantable Computing Platforms for Emerging Neuroscience Applications. Ken Mai Electrical and Computer Engineering Carnegie Mellon University. Brain and CNS Disorder Impact. >50M Americans suffer from brain/CNS disorders Annual cost of >$400B. Source: Society for Neuroscience.

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Brain-Implantable Computing Platforms for Emerging Neuroscience Applications

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  1. Brain-Implantable Computing Platforms for Emerging Neuroscience Applications Ken Mai Electrical and Computer Engineering Carnegie Mellon University

  2. Brain and CNS Disorder Impact • >50M Americans suffer from brain/CNS disorders • Annual cost of >$400B Source: Society for Neuroscience

  3. Current Bio-Implantable Devices

  4. Current Bio-Implantable Devices • Wired communications and power delivery • Prone to breakage, source of infection • External computation resources • Minimal computation at implant = lots of communication • Custom hardware implementation • High NRE costs, long design/verification time • Behind leading edge IC design technology • Sub-optimal power/performance/efficiency/cost • Requires periodic replacement / servicing • Significant user impact (e.g., annual major surgery)

  5. Brain-Implantable Computing Platform • Wireless power delivery (mW range) • Wireless communication • Significant computation resources within implant • Cubic millimeter form-factor • Platform technology

  6. Brain-Implantable Computing Platform Solution technologies • Algorithm / software / hardware co-design • 3D chip integration • Modular architecture • Trans-threshold ckts • Sloppy computation • Inductive power delivery

  7. Emerging Neuroscience Applications • Distributed therapeutic electrical brain stimulation • Brain-controlled functional electrical stimulation

  8. Progress So Far …

  9. The Team Carnegie Mellon • G. Fedder • J. Hoe • X. Li • K. Mai • J. Paramesh • Y. Rabin • University of Pittsburgh • A. Cheng • T. Cui • A. Schwartz • R. Sclabassi • M. Sun • D. Weber • D. Whiting

  10. ISCA Workshop Workshop on Biomedicine in Computing: Systems, Architectures, and Circuits Austin, TX -- June 21, 2009 Held in conjunction with ISCA Extended abstracts due April 10, 2009 http://www.engr.pitt.edu/act/bic2009/

  11. Our Goals • Support wide range of neuroscience applications • Highly energy efficient operation • Wireless delivery of mWatt-level power • Minimal thermal effect on surrounding tissues • Efficient wireless communication to external devices and to a distributed system of BICPs • Cubic millimeter form-factor • Biocompatible packaging • Secure, reliable operation over multiple years

  12. Workshop Topics • Architectures for bio-implantation • Architectures for interfacing to biological systems • Custom computing machines for the bioscience • Biologically inspired architectures • Computers constructed from biological building blocks • Workload characterization for biomedical applications • Design for bio-compatibility, reliability, and security

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