Brain-inspired distributed cognitive architecture |
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| Affiliation: | 1. National Research Nuclear University “Moscow Engineering Physics Institute”, Moscow 115409, Russian Federation;2. NAO “JurInfoR”, Moscow 119435, Russian Federation;1. Department of Occupational Health, School of Public Health, Shanxi Medical University, China;2. Key Lab of Environmental Hazard and Health of Shanxi Province, Shanxi Medical University, China;3. Key Lab of Cellular Physiology of Education Ministry, Shanxi Medical University, China;1. Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH9 9JZ, UK;2. School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, EH8 9AD, UK |
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| Abstract: | In this paper we present a brain-inspired cognitive architecture that incorporates sensory processing, classification, contextual prediction, and emotional tagging. The cognitive architecture is implemented as three modular web-servers, meaning that it can be deployed centrally or across a network for servers. The experiments reveal two distinct operations of behaviour, namely high- and low-salience modes of operations, which closely model attention in the brain. In addition to modelling the cortex, we have demonstrated that a bio-inspired architecture introduced processing efficiencies. The software has been published as an open source platform, and can be easily extended by future research teams. This research lays the foundations for bio-realistic attention direction and sensory selection, and we believe that it is a key step towards achieving a bio-realistic artificial intelligent system. |
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| Keywords: | Distributed cognitive architecture Affect Cortex Prediction Corticothalamic connections |
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