
Brain Inspired
Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.
Episodes
BI 188 Jolande Fooken: Coordinating Action and Perception

BI 187: COSYNE 2024 Neuro-AI Panel
BI 186 Mazviita Chirimuuta: The Brain Abstracted
BI 185 Eric Yttri: Orchestrating Behavior
BI 184 Peter Stratton: Synthesize Neural Principles
BI 183 Dan Goodman: Neural Reckoning
BI 182: John Krakauer Returns… Again
This podcast episode delves into various topics related to neuroscience, including brain plasticity, motor function, cognition, and intelligence. Experts discuss the role of brain plasticity in recovery from strokes and other neurological injuries, the debate on reorganization in the brain, and the importance of synapt...
BI 181 Max Bennett: A Brief History of Intelligence
This podcast episode examines evolutionary perspectives on the study of intelligence and the brain, particularly focusing on "The Five Breakthroughs That Made Our Brains" by Max Bennett. By integrating knowledge from comparative psychology, evolutionary neuroscience, and AI, the discussion ranging from animal navigatio...
BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding
This podcast episode explores the feasibility of decoding memories from connectomes, discussing the challenges, potential, and current limitations of this endeavor. Experts in neuroscience delve into topics such as the relationship between connectomes and behavior, the role of single neurons and networks in memory form...
BI 179 Laura Gradowski: Include the Fringe with Pluralism
BI 178 Eric Shea-Brown: Neural Dynamics and Dimensions
BI 177 Special: Bernstein Workshop Panel
BI 176 David Poeppel Returns
BI 175 Kevin Mitchell: Free Agents
BI 174 Alicia Juarrero: Context Changes Everything
BI 173 Justin Wood: Origins of Visual Intelligence
BI 172 David Glanzman: Memory All The Way Down
BI 171 Mike Frank: Early Language and Cognition
BI 170 Ali Mohebi: Starting a Research Lab
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