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