Brain Inspired
Ein Podcast von Paul Middlebrooks - Mittwochs
154 Folgen
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BI 114 Mark Sprevak and Mazviita Chirimuuta: Computation and the Mind
Vom: 22.9.2021 -
BI 113 David Barack and John Krakauer: Two Views On Cognition
Vom: 12.9.2021 -
BI ViDA Panel Discussion: Deep RL and Dopamine
Vom: 2.9.2021 -
BI 112 Ali Mohebi and Ben Engelhard: The Many Faces of Dopamine
Vom: 26.8.2021 -
BI NMA 06: Advancing Neuro Deep Learning Panel
Vom: 19.8.2021 -
BI NMA 05: NLP and Generative Models Panel
Vom: 13.8.2021 -
BI NMA 04: Deep Learning Basics Panel
Vom: 6.8.2021 -
BI 111 Kevin Mitchell and Erik Hoel: Agency, Emergence, Consciousness
Vom: 28.7.2021 -
BI NMA 03: Stochastic Processes Panel
Vom: 22.7.2021 -
BI NMA 02: Dynamical Systems Panel
Vom: 15.7.2021 -
BI NMA 01: Machine Learning Panel
Vom: 12.7.2021 -
BI 110 Catherine Stinson and Jessica Thompson: Neuro-AI Explanation
Vom: 6.7.2021 -
BI 109 Mark Bickhard: Interactivism
Vom: 26.6.2021 -
BI 108 Grace Lindsay: Models of the Mind
Vom: 16.6.2021 -
BI 107 Steve Fleming: Know Thyself
Vom: 6.6.2021 -
BI 106 Jacqueline Gottlieb and Robert Wilson: Deep Curiosity
Vom: 27.5.2021 -
BI 105 Sanjeev Arora: Off the Convex Path
Vom: 17.5.2021 -
BI 104 John Kounios and David Rosen: Creativity, Expertise, Insight
Vom: 7.5.2021 -
BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading
Vom: 26.4.2021 -
BI 102 Mark Humphries: What Is It Like To Be A Spike?
Vom: 16.4.2021
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.
