Kenneth Harris and Andreas Tolias explain how artificial intelligence has informed their neuroscience research

The rise of powerful artificial intelligence models has had a major impact on how neuroscientists ask research questions and analyze data. In this episode, Paul Middlebrooks and Gaute Einevoll, host of the “Theoretical Neuroscience” podcast, talk to researchers at a neuroAI workshop held in Norway in September, which brought together a diverse group of neuroscientists to assess how best to employ AI models in neuroscience.

In the first of two episodes from the event, Middlebrooks and Einevoll talk with Kenneth Harris and Andreas Tolias about the ongoing transformation AI models are having on the field. Harris, professor of quantitative neuroscience at University College London, analyzes large populations of neurons to understand how the brain transforms sensations and internal signals into actions. Tolias, professor of ophthalmology at Stanford University, uses deep-learning models to discover how large neural populations underlie our perceptions and decisions.

Read the transcript.