Brain Inspired
A podcast by Paul Middlebrooks
Categories:
127 Episodes
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BI 167 Panayiota Poirazi: AI Brains Need Dendrites
Published: 5/27/2023 -
BI 166 Nick Enfield: Language vs. Reality
Published: 5/9/2023 -
BI 165 Jeffrey Bowers: Psychology Gets No Respect
Published: 4/12/2023 -
BI 164 Gary Lupyan: How Language Affects Thought
Published: 4/1/2023 -
BI 163 Ellie Pavlick: The Mind of a Language Model
Published: 3/20/2023 -
BI 162 Earl K. Miller: Thoughts are an Emergent Property
Published: 3/8/2023 -
BI 161 Hugo Spiers: Navigation and Spatial Cognition
Published: 2/24/2023 -
BI 160 Ole Jensen: Rhythms of Cognition
Published: 2/7/2023 -
BI 159 Chris Summerfield: Natural General Intelligence
Published: 1/26/2023 -
BI 158 Paul Rosenbloom: Cognitive Architectures
Published: 1/16/2023 -
BI 157 Sarah Robins: Philosophy of Memory
Published: 1/2/2023 -
BI 156 Mariam Aly: Memory, Attention, and Perception
Published: 12/23/2022 -
BI 155 Luiz Pessoa: The Entangled Brain
Published: 12/10/2022 -
BI 154 Anne Collins: Learning with Working Memory
Published: 11/29/2022 -
BI 153 Carolyn Dicey-Jennings: Attention and the Self
Published: 11/18/2022 -
BI 152 Michael L. Anderson: After Phrenology: Neural Reuse
Published: 11/8/2022 -
BI 151 Steve Byrnes: Brain-like AGI Safety
Published: 10/30/2022 -
BI 150 Dan Nicholson: Machines, Organisms, Processes
Published: 10/15/2022 -
BI 149 William B. Miller: Cell Intelligence
Published: 10/5/2022 -
BI 148 Gaute Einevoll: Brain Simulations
Published: 9/25/2022
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.