Brain Inspired
En podcast af Paul Middlebrooks
Kategorier:
138 Episoder
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BI 198 Tony Zador: Neuroscience Principles to Improve AI
Udgivet: 11.11.2024 -
BI 197 Karen Adolph: How Babies Learn to Move and Think
Udgivet: 25.10.2024 -
BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød
Udgivet: 11.10.2024 -
BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød
Udgivet: 8.10.2024 -
BI 194 Vijay Namboodiri & Ali Mohebi: Dopamine Keeps Getting More Interesting
Udgivet: 27.9.2024 -
BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI
Udgivet: 11.9.2024 -
BI 192 Àlex Gómez-Marín: The Edges of Consciousness
Udgivet: 28.8.2024 -
BI 191 Damian Kelty-Stephen: Fractal Turbulent Cascading Intelligence
Udgivet: 15.8.2024 -
BI 190 Luis Favela: The Ecological Brain
Udgivet: 31.7.2024 -
BI 189 Joshua Vogelstein: Connectomes and Prospective Learning
Udgivet: 29.6.2024 -
BI 188 Jolande Fooken: Coordinating Action and Perception
Udgivet: 27.5.2024 -
BI 187: COSYNE 2024 Neuro-AI Panel
Udgivet: 20.4.2024 -
BI 186 Mazviita Chirimuuta: The Brain Abstracted
Udgivet: 25.3.2024 -
BI 185 Eric Yttri: Orchestrating Behavior
Udgivet: 6.3.2024 -
BI 184 Peter Stratton: Synthesize Neural Principles
Udgivet: 20.2.2024 -
BI 183 Dan Goodman: Neural Reckoning
Udgivet: 6.2.2024 -
BI 182: John Krakauer Returns… Again
Udgivet: 19.1.2024 -
BI 181 Max Bennett: A Brief History of Intelligence
Udgivet: 25.12.2023 -
BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding
Udgivet: 11.12.2023 -
BI 179 Laura Gradowski: Include the Fringe with Pluralism
Udgivet: 27.11.2023
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.
