Brain Inspired
Een podcast door Paul Middlebrooks - Woensdagen
155 Afleveringen
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BI 135 Elena Galea: The Stars of the Brain
Gepubliceerd: 6-5-2022 -
BI 134 Mandyam Srinivasan: Bee Flight and Cognition
Gepubliceerd: 27-4-2022 -
BI 133 Ken Paller: Lucid Dreaming, Memory, and Sleep
Gepubliceerd: 15-4-2022 -
BI 132 Ila Fiete: A Grid Scaffold for Memory
Gepubliceerd: 3-4-2022 -
BI 131 Sri Ramaswamy and Jie Mei: Neuromodulation-aware DNNs
Gepubliceerd: 26-3-2022 -
BI 130 Eve Marder: Modulation of Networks
Gepubliceerd: 13-3-2022 -
BI 129 Patryk Laurent: Learning from the Real World
Gepubliceerd: 2-3-2022 -
BI 128 Hakwan Lau: In Consciousness We Trust
Gepubliceerd: 20-2-2022 -
BI 127 Tomás Ryan: Memory, Instinct, and Forgetting
Gepubliceerd: 10-2-2022 -
BI 126 Randy Gallistel: Where Is the Engram?
Gepubliceerd: 31-1-2022 -
BI 125 Doris Tsao, Tony Zador, Blake Richards: NAISys
Gepubliceerd: 19-1-2022 -
BI 124 Peter Robin Hiesinger: The Self-Assembling Brain
Gepubliceerd: 5-1-2022 -
BI 123 Irina Rish: Continual Learning
Gepubliceerd: 26-12-2021 -
BI 122 Kohitij Kar: Visual Intelligence
Gepubliceerd: 12-12-2021 -
BI 121 Mac Shine: Systems Neurobiology
Gepubliceerd: 2-12-2021 -
BI 120 James Fitzgerald, Andrew Saxe, Weinan Sun: Optimizing Memories
Gepubliceerd: 21-11-2021 -
BI 119 Henry Yin: The Crisis in Neuroscience
Gepubliceerd: 11-11-2021 -
BI 118 Johannes Jäger: Beyond Networks
Gepubliceerd: 1-11-2021 -
BI 117 Anil Seth: Being You
Gepubliceerd: 19-10-2021 -
BI 116 Michael W. Cole: Empirical Neural Networks
Gepubliceerd: 12-10-2021
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.
