Paul Middlebrooks

Brain Inspired

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.

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.

Episodes: 99

Display

BI NMA 03: Stochastic Processes Panel

Duration: 1 hr 1 min

BI NMA 02: Dynamical Systems Panel

Duration: 1 hr 15 min

BI NMA 01: Machine Learning Panel

Duration: 1 hr 27 min

BI 109 Mark Bickhard: Interactivism

Duration: 2 hr 4 min

BI 108 Grace Lindsay: Models of the Mind

Duration: 1 hr 26 min

BI 107 Steve Fleming: Know Thyself

Duration: 1 hr 29 min

BI 105 Sanjeev Arora: Off the Convex Path

Duration: 1 hr 2 min

Learn about the benefits of claiming your podcast and the process here.