Quantitative Model of Human Dynamic Attention and Perception

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$731,551.00
Award Year:
2007
Program:
STTR
Phase:
Phase II
Contract:
FA9550-07-C-0095
Award Id:
83287
Agency Tracking Number:
F064-003-0507
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
399 NW 7th Ave, Boca Raton, FL, 33431
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
112211292
Principal Investigator:
EdwardLarge
President
(561) 297-0106
ed@circular-logic.com
Business Contact:
MichaelStauffer
Vice President
(215) 386-7375
michael@circular-logic.com
Research Institute:
FLORIDA ATLANTIC UNIV.
Gerald Goldberger
777 Glades Rd
Boca Raton, FL, 33431 3343
(561) 555-5555
Nonprofit college or university
Abstract
The development of tractable mathematical models of gradient-frequency nonlinear resonator networks is critical to advanced computer applications that require faithful computer simulation of human attention and/or perception. Conventional linear resonator models are computationally and analytically tractable, however tractability is achieved at the expense of capturing many significant features of attention and perception. Allocation of attention to complex event sequences displays significant nonlinearities, including phase transitions and higher-order resonances. The perception of acoustic events also shows significant nonlinearities including extreme perceptual sensitivity, high frequency resolution, and higher-order resonances. Modern theoretical models of attentional and perceptual phenomena have one thing in common: they are all nonlinear oscillators or networks of nonlinear oscillators responding to perceptual input. Thus a nonlinear time-frequency transformation software library will be useful for analysis of temporal structure across the various different time scales associated with human attention and perception. In Phase I, feasibility of signal analysis by gradient-frequency nonlinear resonator networks was demonstrated. Phase II will pursue advanced development of computer models of gradient-frequency nonlinear resonator networks. A software library for deployment in advanced military and commercial computer applications will be developed, tested and documented.

* information listed above is at the time of submission.

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