SBIR/STTR Research Award

INTELLIGENT CONTROLLER FOR NEUROSCIENCE EXPERIMENTS

Award identifier 62afa1e88c410bdbe42baa0ba7a5dff2e55cef5bd1ad418874d2d9890beab34bAwarding agency National Science Foundation

Award amount

$50,000

Program and phase

SBIR · Phase I

Award year

1993

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
NOVA SCIENTIFIC INCORPORATED
Proposal award date
Not reported
Contract end date
Not reported
UEI
XZHZG8FM18S3
Solicitation number
Not reported
Topic code
Not reported

Research abstract

LOW-COST WORKSTATIONS AND INCREASINGLY POWERFUL PCS NOW MAKE IT FEASIBLE FOR A COMPUTER TO RECORD EXPERIMENTAL DATA AND MAKE HIGH-LEVEL ANALYSES OF THE RESULTS FOR MANY CLASSES OF NEUROSCIENCE EXPERIMENTS. THE COMPUTER SHOULD FURTHER BE ABLE TO DETERMINE AUTONOMOUSLY WHEN STATISTICALLY VALID RESULTS HAVE BEEN ACCUMULATED; RECOGNIZE AND REPEAT DEFECTIVE OR FAILED MEASUREMENTS; APPROPRIATELY ALTER EXPERIMENT PARAMETERS AND PROTOCOL; AND EVEN RECOGNIZE UNEXPECTED OPPORTUNITIES AND AJUST PROTOCOL TO TAKE ADVANTAGE OF THEM. WHILE THE BEST OF CURRENT GENERATION OF EXPERIMENT CONTROL SOFTWARE SUPPORTS ON-LINE ANALYSIS AND DECISION MAKING, IT REQUIES SOPHISTICATED PROGRAMMING SKILLS TO IMPLEMENT THESE CAPABILITIES, AND THE EXPERIMENT MUST PAUSE TO ANALYZE RESULTS AND EVALUATE CONTROL LOGIC. THIS CAUSES A LOSS OF EXPERIMENT TIME. RESEARCH IS BEING CONDUCTED ON A REAL-TIME EXPERT SYSTEM EXPERIMENT CONTROLLER THAT WILL: (1) CAPTURE DATA FROM A LABORATORY'S PRESENT CONTROL COMPUTER; (2) PERFORM SOPHISTICATED ANALYSES OF INCOMING RESULTS; (3) MAKE EXPERIMENT CONTROL DECISIONS OF THE SORT PRESENTLY MADE BY THE EXPERIMENTER (BASING THEM ON THE EXPERIMENTER'S PRIORITIES, REASONING METHODS, STATISTICAL CRITERIA AND RULES OF THUMB) WHICH ARE ENCODED IN THE EXPERT SYSTEM'S KNOWLEDGE BASE AS A BIERARCHICAL SET OF INTERDEPENDENT HYPOTHESES; (4) EITHER DIRECTLY COMMAND THE PRESENT CONTROL COMPUTER TO IMPLEMENT ITS DECISIONS, ALLOWING THE EXPERIMENTER TO MANIPULATE PRIORITIES AND HIGH LEVEL CONTROL VARIABLES TO INFLUENCE THE WAY THE CONTROLLER ALLOCATES EFFORT; OR (5) CONVEY RECOMMENDATIONS TO THE EXPERIMENTER SO HE MAY MAKE THE ULTIMATE DECISIONS. SUCH A SYSTEM SHOULD IMPROVE EXPERIMENT FLOW DECISIONS BY INCREASING THE SOPHISTICATION OF ANALYSIS ON WHICH THEY ARE BASED. THE RESEARCH WILL EVALUATE THE CONTROLLER'S PERFORMANCE, SUGGESTING DESIGN IMPROVEMENTS AND VALIDATING THE CONCEPT OF EXPERT SYSTEM EXPERIMENT CONTROL. SUCCESS WILL LEAD TO IMPROVED PRODUCTIVITY AND COST-EFFECTIVENESS OF NEUROSCIENCE RESEARCH THAT IS AMENABLE TO COMPUTER CONTROL.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

40 SBIR/STTR records share this UEI (1993–2019). Reported award amounts total $12,777,155. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Energy, Department of Defense, Department of Health and Human Services, Department of Commerce, Department of Homeland Security, National Science Foundation

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.