Abstract: Cognitive neuroscience seeks theories that jointly explain behavioral, neural, and mental states. The dominant approach is to use specialized tasks designed to optimally probe a concept of interest (e.g.,
With the rise of modern deep learning, neural networks have become an essential part of virtually every artificial intelligence system, making it difficult to imagine different models for intelligent behavior.
More details to follow. Image created with DALL-E by Maria Ott.
Artificial intelligence has advanced rapidly through larger and deeper neural networks, yet fundamental questions remain about how to optimize network dynamics for performance and adaptability. This study shows that deep
More details to follow.
More details to follow. Photo by Prince Patel on Unsplash.
Abstract The size and complexity of current Deep Artificial Neural Networks pose remarkable challenges to our attempts of explaining and understanding their workings. In this talk, I put forward a
More details to follow. Image created with DALL-E by Maria Ott.
More details to follow. Image created with DALL-E by Maria Ott.
More details to follow. ©SCIoI/Katharina Hohlbaum, Arianna Novati
Marchstr. 23 – MAR 5-2
10587 Berlin
Email: info@scioi.de
Tel: +49 30 314 70660
