Brain Inspired
Een podcast door Paul Middlebrooks - Woensdagen
155 Afleveringen
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BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød
Gepubliceerd: 8-10-2024 -
BI 194 Vijay Namboodiri & Ali Mohebi: Dopamine Keeps Getting More Interesting
Gepubliceerd: 27-9-2024 -
BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI
Gepubliceerd: 11-9-2024 -
BI 192 Àlex Gómez-Marín: The Edges of Consciousness
Gepubliceerd: 28-8-2024 -
BI 191 Damian Kelty-Stephen: Fractal Turbulent Cascading Intelligence
Gepubliceerd: 15-8-2024 -
BI 190 Luis Favela: The Ecological Brain
Gepubliceerd: 31-7-2024 -
BI 189 Joshua Vogelstein: Connectomes and Prospective Learning
Gepubliceerd: 29-6-2024 -
BI 188 Jolande Fooken: Coordinating Action and Perception
Gepubliceerd: 27-5-2024 -
BI 187: COSYNE 2024 Neuro-AI Panel
Gepubliceerd: 20-4-2024 -
BI 186 Mazviita Chirimuuta: The Brain Abstracted
Gepubliceerd: 25-3-2024 -
BI 185 Eric Yttri: Orchestrating Behavior
Gepubliceerd: 6-3-2024 -
BI 184 Peter Stratton: Synthesize Neural Principles
Gepubliceerd: 20-2-2024 -
BI 183 Dan Goodman: Neural Reckoning
Gepubliceerd: 6-2-2024 -
BI 182: John Krakauer Returns… Again
Gepubliceerd: 19-1-2024 -
BI 181 Max Bennett: A Brief History of Intelligence
Gepubliceerd: 25-12-2023 -
BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding
Gepubliceerd: 11-12-2023 -
BI 179 Laura Gradowski: Include the Fringe with Pluralism
Gepubliceerd: 27-11-2023 -
BI 178 Eric Shea-Brown: Neural Dynamics and Dimensions
Gepubliceerd: 13-11-2023 -
BI 177 Special: Bernstein Workshop Panel
Gepubliceerd: 30-10-2023 -
BI 176 David Poeppel Returns
Gepubliceerd: 14-10-2023
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.
