Pregled bibliografske jedinice broj: 455232
Brightness estimation in a neural network model with presynaptic inhibition.
Brightness estimation in a neural network model with presynaptic inhibition. // Proceedings of the 25th Annual Meeting of the International Society for Psychophysics / Elliott, Mark A. ; Antonijević, Stanislava ; Berthaud, Sarah ; Mulcahy, Paul ; Martyn, Caitriona ; Bargery, Brian ; Schmidt, Heike (ur.).
Galway: National University of Galway, 2009. str. 359-362 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 455232 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Brightness estimation in a neural network model with presynaptic inhibition.
Autori
Rebić, Veseljka ; Šetić, Mia ; Domijan, Dražen
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 25th Annual Meeting of the International Society for Psychophysics
/ Elliott, Mark A. ; Antonijević, Stanislava ; Berthaud, Sarah ; Mulcahy, Paul ; Martyn, Caitriona ; Bargery, Brian ; Schmidt, Heike - Galway : National University of Galway, 2009, 359-362
Skup
25th Annual Meeting of the International Society for Psychophysics
Mjesto i datum
Gaillimh, Irska, 21.10.2009. - 24.10.2009
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Brightness Perception; Anchoring; Neural Model; Lateral Inhibition
Sažetak
Recent psychophysical and neurophysiological investigations showed that visual system encodes luminance and use it to estimate illumination and surface brightness. We proposed a novel neural model for luminance coding based on recurrent inhibition, from the retinal ganglion cells to the axons of the bipolar cells, which modulates the amount of sensory input that ganglion cells receive (Sagdullaev et al., 2006). Extended version of the model, where the amount of presynaptic inhibition is made proportional to the maximum luminance in the visual scene, implements gain control mechanism which adjusts the raw luminance into a measure of brightness of surface. Computer simulations showed that the model scales brightness estimates consistent with the highest-luminance-as-white anchoring rule (Gilchist et al., 2004). Simulations also showed that the model is able to act as a change detector when the presynaptic inhibition temporally lags behind the excitatory input to the ganglion cell.
Izvorni jezik
Engleski
Znanstvena područja
Psihologija
POVEZANOST RADA
Projekti:
009-0362214-0818 - Neuronsko modeliranje i bihevioralno testiranje vidne percepcije i kognicije (Domijan, Dražen, MZOS ) ( CroRIS)
Ustanove:
Filozofski fakultet, Rijeka,
Filozofski fakultet, Zagreb