Pregled bibliografske jedinice broj: 455227
A neural model for detection of temporal structure.
A neural model for detection of temporal structure. // 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. 123-128 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
A neural model for detection of temporal structure.
Autori
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, 123-128
Skup
25th Annual Meeting of the International Society for Psychophysics
Mjesto i datum
Gaillimh, Irska, 21.10.2009. - 24.10.2009
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Temporal Integration; Neural Network; Computer Simulation; Temporal Structure
Sažetak
According to the temporal correlation hypothesis, synchronization of neural activity in different spatial maps solves the feature binding problem. Here, a new model of visual working memory is proposed which is able to group synchronous temporal events without neural synchronization. Instead, the model is based on the difference in the firing rate. The model integrates discrete inputs over time and compares activity in different integrators. When the amplitude difference in integrators is large enough due to the different rates of evidence accumulation, temporal figure and background are distinguished in the working memory. Computer simulations showed that the model correctly groups events according to their deterministic or stochastic temporal structure. The model is robust with respect to the temporal noise and to the correlation between figure-ground events. Also, the model is able to explain visual prior entry and perceptual asynchrony between colour, motion and orientation.
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
Profili:
Dražen Domijan
(autor)