Prediction Error in the PMd As a Criterion for Biological Motion Discrimination: A Computational Account

• Published in: IEEE transactions on cognitive and developmental systems Vol. 10; no. 2; pp. 237 - 249
• Main Authors: Kawai, Yuji, Nagai, Yukie, Asada, Minoru
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.06.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Biological computing; Biological effects; Biological motion; Biological system modeling; Computational modeling; dorsal premotor area (PMd); Human motion; Hypotheses; Neural networks; one-third power law; Pediatrics; Predictions; predictive learning; Predictive models; recurrent neural network; Recurrent neural networks; Representations; Trajectory; Visualization; Walking; Wrist
• ISSN: 2379-8920; 2379-8939
• DOI: 10.1109/TCDS.2017.2668446

Neuroscientific studies suggest that the dorsal premotor area is activated by biological motions, and is also related to the prediction errors of observed and self-induced motions. We hypothesize that biological and nonbiological motions can be discriminated by such prediction errors. We therefore propose a model to verify this hypothesis. A neural network model is constructed that learns to predict the velocity of the self's next body movement from that of the present one and produces a smooth movement. Consequently, a property of the input sequence is represented. The trained network evaluates observed motions based on the prediction errors. If these errors are small, the movements share a representation with the self-motor property, and therefore, are regarded as biological ones. To verify our hypothesis, we examined how the network represents the biological motions. The results show that predictive learning, supported by a recurrent structure, helps to obtain the representation that discriminates between biological and nonbiological motions. Moreover, this recurrent neural network can discriminate the ankle and wrist trajectories of a walking human as biological motion, regardless of the subject's sex, or emotional state.