Figuring out how the brain uses information from visual neurons may require new tools. I asked nine experts to weigh in.

Figuring out how the brain uses information from visual neurons may require new tools. I asked nine experts to weigh in.

Deep Neural Networks (DNNs) are analyzed via the theoretical framework of the information bottleneck (IB) principle. We first show that any DNN can be quantified by the mutual information between the ...

Summer Research Position I am seeking a part-time or full-time researcher for the summer (starting asap) to bring a project to completion. The project asks the question: do people around the world u...

Abstract. Two prominent, yet contrasting, theoretical views are available to characterize the underlying drivers of language evolution: on the one hand, task-specific utility maximization; on the othe...

Two pioneers of reinforcement learning have won the $1mn prize from the Association for Computing Machinery

Artificial Intelligence increasingly pursues large, complex models that perform many tasks within increasingly realistic domains. How, if at all, should these developments in AI influence cognitive sc...

Many artificial neural networks (ANNs) trained with ecologically plausible objectives on naturalistic data align with behavior and neural representations in biological systems. Here, we show that this...