Brain Inspired
En podkast av Paul Middlebrooks - Onsdager
155 Episoder
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BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød
Publisert: 8.10.2024 -
BI 194 Vijay Namboodiri & Ali Mohebi: Dopamine Keeps Getting More Interesting
Publisert: 27.9.2024 -
BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI
Publisert: 11.9.2024 -
BI 192 Àlex Gómez-Marín: The Edges of Consciousness
Publisert: 28.8.2024 -
BI 191 Damian Kelty-Stephen: Fractal Turbulent Cascading Intelligence
Publisert: 15.8.2024 -
BI 190 Luis Favela: The Ecological Brain
Publisert: 31.7.2024 -
BI 189 Joshua Vogelstein: Connectomes and Prospective Learning
Publisert: 29.6.2024 -
BI 188 Jolande Fooken: Coordinating Action and Perception
Publisert: 27.5.2024 -
BI 187: COSYNE 2024 Neuro-AI Panel
Publisert: 20.4.2024 -
BI 186 Mazviita Chirimuuta: The Brain Abstracted
Publisert: 25.3.2024 -
BI 185 Eric Yttri: Orchestrating Behavior
Publisert: 6.3.2024 -
BI 184 Peter Stratton: Synthesize Neural Principles
Publisert: 20.2.2024 -
BI 183 Dan Goodman: Neural Reckoning
Publisert: 6.2.2024 -
BI 182: John Krakauer Returns… Again
Publisert: 19.1.2024 -
BI 181 Max Bennett: A Brief History of Intelligence
Publisert: 25.12.2023 -
BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding
Publisert: 11.12.2023 -
BI 179 Laura Gradowski: Include the Fringe with Pluralism
Publisert: 27.11.2023 -
BI 178 Eric Shea-Brown: Neural Dynamics and Dimensions
Publisert: 13.11.2023 -
BI 177 Special: Bernstein Workshop Panel
Publisert: 30.10.2023 -
BI 176 David Poeppel Returns
Publisert: 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.
