0:00
/
Eli Sennesh talks about bridging predictive coding and NeuroAI
Predictive coding is an enticing theory of brain function. Building on decades of models and experimental work, Eli Sennesh proposes a biologically plausible way our brain might implement it.
By
Paul Middlebrooks
3 January 2025 | 98 min watch
In the previous episode, Paul Middlebrooks and Rajesh Rao discussed the past and present of predictive coding theories of the brain. In this episode, Eli Sennesh, a postdoctoral researcher in the Bastos Lab at Vanderbilt University, shares his “divide-and-conquer” predictive coding model to explain how populations of neurons test their hypotheses about the world. Sennesh also shares his insights about moving from computational to experimental neuroscience.
Read the transcript.
Recommended reading
Nikolay Kukushkin discusses his book, ‘One Hand Clapping: Unraveling the Mystery of the Human Mind’
By
Paul Middlebrooks
8 October 2025 | 1 min read
Ann Kennedy explains the theoretical neuroscience of survival behaviors
By
Paul Middlebrooks
24 September 2025 | 1 min read
Michael Breakspear and Mac Shine explain how brain processing changes across neural population scales
By
Paul Middlebrooks
10 September 2025 | 1 min read
Explore more from The Transmitter
Kenneth Harris and Andreas Tolias explain how AI has informed their neuroscience research
By
Paul Middlebrooks
8 October 2024 | 77 min listen
Cristina Savin and Tim Vogels discuss how AI has shaped their neuroscience research
By
Paul Middlebrooks
11 October 2024 | 80 min listen
How Anthony Zador thinks neuroscience can help improve AI
By
Paul Middlebrooks
11 November 2024 | 93 min listen
Cite this article: