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Neural Learning of Cognitive Control

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Abstract

Our goal is to develop cognitive agents based on neuroscientific evidence. The efficiency of cognitive behavior depends on its capacity to select, represent and manipulate sufficient knowledge of the environment to achieve its goals. We designed a biologically motivated model of basal ganglia and particularly the prefrontal cortex and here review its foundations of neural learning and summarize our obtained results.

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Acknowledgements

This project report provided an overview of recent research on neural learning of cognitive control in our lab which involved contributions from multiple researchers, particularly from Henning Schroll, Julien Vitay and Jan Wiltschut.

This work has been funded by DFG HA2630/4-1 and HA2630/4-2 as well as by the EU FP7-ICT program “Eyeshots: Heterogeneous 3-D Perception across Visual Fragments”.

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  1. Fakultät für Informatik, Technische Universität Chemnitz, Straße der Nationen 62, 09107, Chemnitz, Germany

    Fred H. Hamker

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  1. Fred H. Hamker
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Correspondence to Fred H. Hamker.

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Hamker, F.H. Neural Learning of Cognitive Control. Künstl Intell 26, 397–401 (2012). https://doi.org/10.1007/s13218-012-0210-7

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  • DOI: https://doi.org/10.1007/s13218-012-0210-7

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