Philipp Schustek

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Introduction Diffusion-to-bound models are typically found to be good models for many aspects of perceptual decisionmaking tasks, and they describe with high level of accuracy both the psychometric and chronometric curves of humans and non-humans. In these models, the decision process is viewed as a state variable that evolves randomly over time and(More)
Introduction What type of computations can neuronal networks perform? One could reasonable argue that neuronal networks should be able to solve “all” computational problems of interest, as our brain is made of those networks. However, finding specific non-trivial and interesting examples of neuronal networks that solve a particular computational problem has(More)
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