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Cognitive science

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The Cognitive Computational Neuroscience (CCN) conference connects cognitive science, neuroscience and artificial intelligence through computational explanations of complex behaviour. Its scope includes mechanistic interpretability, representation learning and alignment, biological and artificial intelligence, neural dynamics, and models of perception, cognition and action. The primarily single-track format combines keynotes, research talks and posters with some parallel community sessions. Generative Adversarial Collaborations examine competing theories; keynote-and-tutorial sessions connect

Jul 26–29, 2027

Conference · Computational Neuroscience

…Drawing on cognitive science, he and Sean Carroll examine what behavioral similarities can tell us about underlying mechanisms and how to assess the relationship between artificial and human intelligence.

Podcast episode · Artificial Intelligence

Using transfer learning to identify a neural system's algorithm

John Morrison, Benjamin Peters · COSYNE 2025

…Cognitive scientists use algorithms to explain mental processes. For example, they use tree-search algorithms to explain planning, reinforcement learning algorithms to explain exploration, and Bayesian algorithms to explain categorization. The standard approach is to search for parts in the brain corresponding to the steps of the algorithm. But we haven’t been able to find many such parts. This has led some to deny that algorithms are useful to systems neuroscience, and to interpret neural systems usi

ePoster · Computational Neuroscience