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Personal profile

Research and teaching information

My research interest is located in between artificial intelligence, cognitive psychology, and computational neuroscience. Here, I aim to explore the computational principles in the brain to foster our fundamental understanding of the brain’s mechanisms but also to exploit them in developing intelligent systems. In particular, I look into the processes and mechanisms in the brain that form representations in multi-modal integration and in temporal composition as well as decomposition. As a central approach I model artificial neural networks, specifically continuous time recurrent neural networks (CTRNNs) and convolution neural networks (CNNs) on tasks in cognitive development, natural language processing, and machine learning. A specific current focus is on dynamic timescales mechanisms in networks as well as on variational and approximate Bayesian learning schemes.

Publications

https://stefanheinrich.net/publications/

Curriculum

Education and training