Pregled bibliografske jedinice broj: 329970
Computing the Maximum Using Presynaptic Inhibition With Glutamate Receptors
Computing the Maximum Using Presynaptic Inhibition With Glutamate Receptors // Advances in Brain, Vision, and Artificial Intelligence / Mele, Francesco ; Ramella, Giuliana ; Santillo, Silvia ; Ventriglia, Francesco (ur.).
Berlin: Springer, 2007. (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 329970 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Computing the Maximum Using Presynaptic Inhibition With Glutamate Receptors
Autori
Domijan, Dražen ; Šetić, Mia
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Advances in Brain, Vision, and Artificial Intelligence
/ Mele, Francesco ; Ramella, Giuliana ; Santillo, Silvia ; Ventriglia, Francesco - Berlin : Springer, 2007
ISBN
978-3-540-75554-8
Skup
Second International Symposium on Brain, Vision, and Artificial Intelligence
Mjesto i datum
Napulj, Italija, 10.10.2007. - 12.10.2007
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Glutamate Receptors; Winner-takes-all; Maximum Operator; Synaptic Modulation; Presynaptic Inhibition
Sažetak
Neurophysiological investigations suggest that presynaptic ionotropic receptors are important mechanism for controlling synaptic transmission. In this paper, presynaptic kainate receptors are incorporated in a feedforward inhibitory neural network in order to investigate their role in the cortical information processing. Computer simulations showed that the proposed mechanism is able to compute the function maximum by disinhibiting the cell with the maximal amplitude. The maximum is computed with high precision even in the case where inhibitory synaptic weights are weak and (or) asymmetric. Moreover, the network is able to track time-varying input and to select multiple winners. These capabilities do not depend on the dimensionality of the network. Also, the model is able to implement the winner-take-all behaviour.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti, Informacijske i komunikacijske znanosti, Psihologija
POVEZANOST RADA
Projekti:
009-0362214-0818 - Neuronsko modeliranje i bihevioralno testiranje vidne percepcije i kognicije (Domijan, Dražen, MZOS ) ( CroRIS)
Ustanove:
Filozofski fakultet, Rijeka