Brain Inspired
A podcast by Paul Middlebrooks
Categories:
127 Episodes
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BI 187: COSYNE 2024 Neuro-AI Panel
Published: 4/20/2024 -
BI 186 Mazviita Chirimuuta: The Brain Abstracted
Published: 3/25/2024 -
BI 185 Eric Yttri: Orchestrating Behavior
Published: 3/6/2024 -
BI 184 Peter Stratton: Synthesize Neural Principles
Published: 2/20/2024 -
BI 183 Dan Goodman: Neural Reckoning
Published: 2/6/2024 -
BI 182: John Krakauer Returns… Again
Published: 1/19/2024 -
BI 181 Max Bennett: A Brief History of Intelligence
Published: 12/25/2023 -
BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding
Published: 12/11/2023 -
BI 179 Laura Gradowski: Include the Fringe with Pluralism
Published: 11/27/2023 -
BI 178 Eric Shea-Brown: Neural Dynamics and Dimensions
Published: 11/13/2023 -
BI 177 Special: Bernstein Workshop Panel
Published: 10/30/2023 -
BI 176 David Poeppel Returns
Published: 10/14/2023 -
BI 175 Kevin Mitchell: Free Agents
Published: 10/3/2023 -
BI 174 Alicia Juarrero: Context Changes Everything
Published: 9/13/2023 -
BI 173 Justin Wood: Origins of Visual Intelligence
Published: 8/30/2023 -
BI 172 David Glanzman: Memory All The Way Down
Published: 8/7/2023 -
BI 171 Mike Frank: Early Language and Cognition
Published: 7/22/2023 -
BI 170 Ali Mohebi: Starting a Research Lab
Published: 7/11/2023 -
BI 169 Andrea Martin: Neural Dynamics and Language
Published: 6/28/2023 -
BI 168 Frauke Sandig and Eric Black w Alex Gomez-Marin: AWARE: Glimpses of Consciousness
Published: 6/2/2023
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.