Brain Inspired
by Paul Middlebrooks
March 26, 2024 9:39 am
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.
Recent Episodes
BI 186 Mazviita Chirimuuta: The Brain Abstracted
3 weeks agoBI 185 Eric Yttri: Orchestrating Behavior
1 month agoBI 184 Peter Stratton: Synthesize Neural Principles
2 months agoBI 183 Dan Goodman: Neural Reckoning
2 months agoBI 182: John Krakauer Returns… Again
3 months agoBI 181 Max Bennett: A Brief History of Intelligence
4 months agoBI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding
4 months agoBI 179 Laura Gradowski: Include the Fringe with Pluralism
5 months agoBI 178 Eric Shea-Brown: Neural Dynamics and Dimensions
5 months agoBI 177 Special: Bernstein Workshop Panel
6 months ago