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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
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