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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.

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.

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