SBIR/STTR Research Award

A Low-cost, high-speed platform for neural modeling.

Award identifier 2f572a1f8db9389d132e36b737b7356e4a4338d464ff9d4459a499d6d4583907Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,525,280

Program and phase

SBIR · Phase II

Award year

2008

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
SIMATRA MODELING TECHNOLOGIES, LLC
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PHS2007-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Neural models, mathematical descriptions of neural behavior, are an invaluable tool for developing new medical treatments and understanding how the nervous system works. But as researchers discover more information abou t the nervous system, these models become more complicated. As a result, many modern neural models require powerful computer hardware, such as supercomputers, in order to be simulated and studied. Unfortunately, these systems are expensive and difficult to use. This project will create a low-cost, user-friendly, and computationally powerful system for neural modeling based on a technology called field-programmable gate arrays (FPGAs). This project will develop the user-friendly interface tools for creating neuron models on FPGAs, the software that turns a user's model description into an FPGA-compatible program, and a low-cost hardware platform that will maximize the computational power of FPGAs. PUBLIC HEALTH RELEVANCE Our project will produce a product tha t will allow neuroscientists and physiologists to better understand the function of the nervous system, and to perform novel experiments interfacing neural models with biological neurons. By using this system, researchers will be able to develop novel trea tments for treating neurological disorders and repairing traumatic neural injury.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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