Brain Inspired
Un podcast de Paul Middlebrooks - Les mercredis
166 Épisodes
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BI 186 Mazviita Chirimuuta: The Brain Abstracted
Publié: 25/03/2024 -
BI 185 Eric Yttri: Orchestrating Behavior
Publié: 06/03/2024 -
BI 184 Peter Stratton: Synthesize Neural Principles
Publié: 20/02/2024 -
BI 183 Dan Goodman: Neural Reckoning
Publié: 06/02/2024 -
BI 182: John Krakauer Returns… Again
Publié: 19/01/2024 -
BI 181 Max Bennett: A Brief History of Intelligence
Publié: 25/12/2023 -
BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding
Publié: 11/12/2023 -
BI 179 Laura Gradowski: Include the Fringe with Pluralism
Publié: 27/11/2023 -
BI 178 Eric Shea-Brown: Neural Dynamics and Dimensions
Publié: 13/11/2023 -
BI 177 Special: Bernstein Workshop Panel
Publié: 30/10/2023 -
BI 176 David Poeppel Returns
Publié: 14/10/2023 -
BI 175 Kevin Mitchell: Free Agents
Publié: 03/10/2023 -
BI 174 Alicia Juarrero: Context Changes Everything
Publié: 13/09/2023 -
BI 173 Justin Wood: Origins of Visual Intelligence
Publié: 30/08/2023 -
BI 172 David Glanzman: Memory All The Way Down
Publié: 07/08/2023 -
BI 171 Mike Frank: Early Language and Cognition
Publié: 22/07/2023 -
BI 170 Ali Mohebi: Starting a Research Lab
Publié: 11/07/2023 -
BI 169 Andrea Martin: Neural Dynamics and Language
Publié: 28/06/2023 -
BI 168 Frauke Sandig and Eric Black w Alex Gomez-Marin: AWARE: Glimpses of Consciousness
Publié: 02/06/2023 -
BI 167 Panayiota Poirazi: AI Brains Need Dendrites
Publié: 27/05/2023
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.
