Encoding Longer-Term Contextual Information with Predictive Coding and Ego-Motion
| Autor: | Tetsuya Ogata, Xinzheng Zhang, Angelo Cangelosi, Junpei Zhong |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Article Subject General Computer Science Computer science media_common.quotation_subject Sensory system 02 engineering and technology Machine learning computer.software_genre lcsh:QA75.5-76.95 03 medical and health sciences 020901 industrial engineering & automation 0302 clinical medicine Encoding (memory) Perception Representation (mathematics) media_common Multidisciplinary Artificial neural network Event (computing) business.industry SIGNAL (programming language) Term (time) lcsh:Electronic computers. Computer science Artificial intelligence business computer 030217 neurology & neurosurgery |
| Zdroj: | Complexity, Vol 2018 (2018) |
| ISSN: | 1099-0526 1076-2787 |
| Popis: | Studies suggest that, within the hierarchical architecture, the topological higher level possibly represents the scenarios of the current sensory events with slower changing activities. They attempt to predict the neural activities on the lower level by relaying the predicted information after the scenario of the sensorimotor event has been determined. On the other hand, the incoming sensory information corrects such prediction of the events on the higher level by the fast-changing novel or surprising signal. From this point, we propose a predictive hierarchical artificial neural network model that examines this hypothesis on neurorobotic platforms. It integrates the perception and action in the predictive coding framework. Moreover, in this neural network model, there are different temporal scales of predictions existing on different levels of the hierarchical predictive coding architecture, which defines the temporal memories in recording the events occurring. Also, both the fast- and the slow-changing neural activities are modulated by the motor action. Therefore, the slow-changing neurons can be regarded as the representation of the recent scenario which the sensorimotor system has encountered. The neurorobotic experiments based on the architecture were also conducted. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text