Naslov
The Effect of Recalled Emotion on Brightness Perception: A Neuro-computational Perspective

Autori
Marić, Mateja ; Domijan, Dražen

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni

Skup
STuP – Savremeni trendovi u psihologiji

Mjesto i datum
Novi Sad, Srbija, 19.10.2017. - 21.10.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
emotion, brightness perception, neural networks

Sažetak
Several studies found that recalling emotional state or perceiving facial expression alter perception of brightness (Banerjee et al., 2012 ; Meier et al., 2007 ; Song et al., 2012). For instance, a smiling face is perceived to be brighter that it actually is. In the current work, we examined a neural network model based on the adaptive resonance theory (ART) to explain observed findings. In the ART cortical circuit, categorization of sensory input is achieved by matching bottom-up sensory signals with top-down expectations. When the bottom-up and top-down signals are closely aligned, resonant state develops that indicate successful recognition of the input pattern. On the other hand, mismatch between bottom-up and top-down signals produces a global reset wave that clears the traces of erroneous categorization and top-down expectation. According to Grossberg (1999), all conscious states are resonant states, that is, conscious perception arises when the neural network enters into a resonant state indicating a match between bottom-up and top-down signals. Here, we suggest that previous statement implies that cognition and emotions cannot influence perception directly. Therefore, recalling the emotional state associated with certain brightness through a previous learning experiences will not produce resonant state if bottom-up signals are not consistent with the top-down prediction based on this recall. However, traces of erroneous prediction can still influence a decision or response preparation stage. We extended the ART circuit by adding response selection stage consisting of nodes representing the points on the Munsell brightness scale. Furthermore, we assume that there is a noise in the mapping from the output layer of the ART network and the response selection stage. Therefore, every node in the ART circuit that represents different shade of perceived brightness is connected to several points on the Munsell scale. We performed computer simulations with the proposed model to show how bias induced by recalled emotional state develops over time and how it shifts the decision to choose the certain brightness level without altering actual brightness perception. In conclusion, we employed established computational mechanisms of the adaptive resonance theory to show that emotions can alter brightness perception only indirectly by influencing decision or response, but not perception itself, which is consistent with the recent proposal of Firestone and Scholl (2016).

Izvorni jezik
Engleski

Znanstvena područja
Psihologija

POVEZANOST RADA