Episodic Memory
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Vinita Samarasinghe
The research group uses diverse computational modeling approaches, including biological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. The selected candidate will expand the computational modeling framework Cobel-RL and use it to study how episodic memory might be used to learn to navigate.
Prof. Dr. Laurenz Wiskott
The Institute for Neural Computation is looking for a postdoc in the field of Computational Neuroscience. The position is part of the group 'Theory of Neural Systems' and offers the opportunity to develop your own research profile and establish an independent research group. The research topic should be in the field of computational neuroscience on a system level, in particular modeling the visual system, episodic memory, or navigation in mammals. Collaborations with colleagues at the institute are welcome. The tasks include independent research projects and publications, acquiring third party funding, teaching, supervising student projects and your own PhD projects, and active participation in the local research environment.
Vinita Samarasinghe
The research group uses diverse computational modeling approaches, including biological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. The group is actively seeking a talented graduate student to join the team, who will expand the computational modeling framework Cobel-RL (https://doi.org/10.3389/fninf.2023.1134405) and use it to study how episodic memory might be used to learn to navigate.
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