NEURAL NETWORK MODEL FOR VISUAL DISCRIMINATION OF COMPLEX MOTIONS

作者：Bojilov Ljudmil^*; Bocheva Nadejda

来源：Comptes Rendus de l Academie Bulgare des Sciences, 2012, 65(10): 1379-1386.

• visual perception
• aging
• neural network
• complex motions
• modelling

The age-related changes in visual perception have great impact on the everyday activities of the elderly population. We implemented a neural network model to reproduce the results of psychophysical experiments on discrimination of complex motion in noisy displays with two age groups - younger (mean age 20 years) and older (mean age 74 years). The network simulated the processing of motion information by the direction-sensitive neurons in area MT and by the pattern-sensitive neurons in area MST of the brain. It successfully imitated the behavioural results showing no significant difference in the performance for the two age groups for expanding/contracting motions, but a clear decline in the performance of the older observers for the rotational motions. The stress in our analysis and discussion is related to the neural network parameters that account for the age-related differences obtained in the psychophysical experiments.

• 出版日期2012