
NSF Org: |
EEC Division of Engineering Education and Centers |
Recipient: |
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Initial Amendment Date: | September 24, 2003 |
Latest Amendment Date: | August 6, 2014 |
Award Number: | 0310723 |
Award Instrument: | Cooperative Agreement |
Program Manager: |
Mary Poats
EEC Division of Engineering Education and Centers ENG Directorate for Engineering |
Start Date: | September 1, 2003 |
End Date: | August 31, 2015 (Estimated) |
Total Intended Award Amount: | $29,955,776.00 |
Total Awarded Amount to Date: | $37,107,476.00 |
Funds Obligated to Date: |
FY 2004 = $3,124,680.00 FY 2005 = $3,556,132.00 FY 2006 = $4,440,528.00 FY 2007 = $4,567,900.00 FY 2008 = $4,500,379.00 FY 2009 = $4,200,000.00 FY 2010 = $4,618,829.00 FY 2011 = $3,127,704.00 FY 2012 = $2,117,279.00 FY 2013 = $344,312.00 FY 2014 = $10,000.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
3720 S FLOWER ST FL 3 LOS ANGELES CA US 90033 (213)740-7762 |
Sponsor Congressional District: |
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Primary Place of Performance: |
3720 S FLOWER ST FL 3 LOS ANGELES CA US 90033 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
EWFD-Eng Workforce Development, ERC-Eng Research Centers, RET SUPPLEMENTS |
Primary Program Source: |
0100999999 NSF RESEARCH & RELATED ACTIVIT app-0104 0100999999 NSF RESEARCH & RELATED ACTIVIT app-0105 0100999999 NSF RESEARCH & RELATED ACTIVIT app-0106 0100999999 NSF RESEARCH & RELATED ACTIVIT app-0107 01000809DB NSF RESEARCH & RELATED ACTIVIT 01000910DB NSF RESEARCH & RELATED ACTIVIT 01001011DB NSF RESEARCH & RELATED ACTIVIT 01001112DB NSF RESEARCH & RELATED ACTIVIT 01001213DB NSF RESEARCH & RELATED ACTIVIT 01001314DB NSF RESEARCH & RELATED ACTIVIT 01001415DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.041 |
ABSTRACT
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The vision of the Biomimetic MicroElectronic Systems Engineering Research Center (BMES ERC) is to develop the science and engineering of novel biomimetic microelectronic systems based on fundamental principles of biology. The newly developed systems will allow high-density interface for communication with human cells and tissues and, by doing so, enable implantable/portable microelectronic devices to treat presently incurable diseases such as blindness and central nervous system disorders.
Our ERC vision is realized first by identifying the unmet medical needs of blindness and central nervous system cognitive impairments. The solutions to these unmet needs are then developed by designing and synthesizing engineered system specifications from medical, scientific, and engineering disciplines. Furthermore, to develop these novel biomimetic microelectronic systems, our BMES ERC’s work is concentrated in three thrust areas of enabling technology that are at the heart of immediate and long-term interest to the rapidly growing medical device industry. The 3 thrust areas are 1) mixed-signal systems on a chip, 2) power and data management, and 3) interface technology (electrode/electronic packaging technologies as well as abiotic-biotic interfaces with the plasma membrane).
The broader impact to society will come not only from alleviating human suffering and improving quality of life, but also by reducing the health care costs now directed to assist people with disabilities. Even if only 20,000 blind patients were helped over a 20-year period, an estimated 4 billion US federal dollars would be saved. Similarly, cortical prostheses that even partially restore cognitive function lost due to brain trauma and dementia could reduce the disabilities of hundreds of thousands. When combined with the potential of this closed-loop approach improving other neuromodulation devices, the cost savings exceed $6 billion
Last Modified: 03/23/2016
Modified by: Mark S Humayun
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