Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture.

Authors:
Nikola Kasabov
Nikola Kasabov
Knowledge Engineering and Discovery Research Institute
Maryam Gholami Doborjeh
Maryam Gholami Doborjeh
Knowledge Engineering and Discovery Research Institute
Alexander Sumich
Alexander Sumich
School of Social Sciences
Irvine | United States

Sci Rep 2018 Jun 11;8(1):8912. Epub 2018 Jun 11.

Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, AUT Tower, 7th floor, 2 Wakefield Street, Auckland, 1010, New Zealand.

Familiarity of marketing stimuli may affect consumer behaviour at a peri-perceptual processing level. The current study introduces a method for deep learning of electroencephalogram (EEG) data using a spiking neural network (SNN) approach that reveals the complexity of peri-perceptual processes of familiarity. The method is applied to data from 20 participants viewing familiar and unfamiliar logos. The results support the potential of SNN models as novel tools in the exploration of peri-perceptual mechanisms that respond differentially to familiar and unfamiliar stimuli. Specifically, the activation pattern of the time-locked response identified by the proposed SNN model at approximately 200 milliseconds post-stimulus suggests greater connectivity and more widespread dynamic spatio-temporal patterns for familiar than unfamiliar logos. The proposed SNN approach can be applied to study other peri-perceptual or perceptual brain processes in cognitive and computational neuroscience.

Abstract Video

Spiking neural networks recognize brain preferences to marketing stimuli before conscious perception


Source: Research Square

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41598-018-27169-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995966PMC

Still can't find the full text of the article?

We can help you send a request to the authors directly.
June 2018
180 Reads

Publication Analysis

Top Keywords

familiar unfamiliar
12
snn approach
8
unfamiliar logos
8
deep learning
8
brain processes
8
spiking neural
8
neural network
8
proposed snn
8
approach reveals
4
time-locked response
4
reveals complexity
4
familiarity method
4
processes familiarity
4
peri-perceptual processes
4
complexity peri-perceptual
4
pattern time-locked
4
response identified
4
identified proposed
4
electroencephalogram eeg
4
learning electroencephalogram
4

Similar Publications