Pregled bibliografske jedinice broj: 225695
Neural networks and the problem of lightness anchoring
Neural networks and the problem of lightness anchoring // Trieste Symposium on Perception and Cognition
Trst, Italija, 2000. (predavanje, međunarodna recenzija, neobjavljeni rad, znanstveni)
CROSBI ID: 225695 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Neural networks and the problem of lightness anchoring
Autori
Domijan, Dražen
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni
Skup
Trieste Symposium on Perception and Cognition
Mjesto i datum
Trst, Italija, 19.10.2000. - 21.10.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Lightness perception; Anchoring; Neural network; Presynaptic inhibition
Sažetak
In order to provide a mechanistic account of the process of lightness anchoring, a new neural network is proposed based on presynaptic inhibition of feedforward inhibitory pathways and self-excitatory feedback. Presynaptic inhibition serves as a gate that controls the amount of inhibition that cells may receive. Computer simulations showed that the proposed model correctly simulates human psychophysical data on the staircase Gelb effect, and the role of field size and insulation on its appearance.
Izvorni jezik
Engleski
Znanstvena područja
Psihologija
