Transforming bottom-up topographic representations with top-down signals in the brain |
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| Affiliation: | 1. School of Software Engineering, South China University of Technology, Guangzhou, China;2. Alibaba-NTU Singapore Joint Research Institute, Nanyang Technological University, Singapore;3. Alibaba Group, China;1. Department of Automation, Xiamen University, Xiamen 361005, China;2. College of Information Engineering, Jimei University, Xiamen 361021, China;1. Dipartimento di Scienze Matematiche, Fisiche e Informatiche, Università degli Studi di Parma, Parco Area delle Scienze 53/A, 43124 Parma, Italy;2. Dipartimento di Matematica e Fisica “Ennio De Giorgi”, Università del Salento, Via per Arnesano snc, 73100 Lecce, Italy;1. Lenovo Group Limited, 100 Cyberport Road, Hong Kong;2. Department of Computer and Information Sciences, Temple University, Philadelphia PA 19122, United States;3. Department of Computer Science and Engineering, Texas A&M University, Texas 77840, United States;4. NEC Laboratories America, Princeton 08540, United States;5. SAS Institute Inc., Cary, NC 27513, United States;6. Institute of Softwares and Interactive Systems, Technical University of Vienna, Austria;7. Institute for Infocomm Research, 138632, Singapore;8. School of Computer Science and Software Engineering, East China Normal University, Shanghai 2000062, China;9. College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, United States;1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, PR China;2. SZU Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518060, PR China;3. Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen 518060, PR China |
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| Abstract: | There has been considerable success in allocating function to the different parts of the brain. We also know much about brain organisation in different regions of the brain and how different brain regions connect to one another. One of the most important next steps for modern neuroscience is to work out how different areas of the brain interact with one another. In particular we need to know how sensory regions communicate with association areas and vice versa. This article explores how top-down signals originating from association areas may be used to process and transform bottom-up representations originating from sensory areas of the brain. Simple models of networks containing topographically organised ensembles of neurons used to integrate and process information are described. The different models can be used to process information in a variety of different ways that could be used as the starting point for a variety of cognitive operations, in particular the extraction of abstract information from sensory representations. |
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