Brain Inspired
A podcast by Paul Middlebrooks - Miercuri
165 Episoade
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BI 125 Doris Tsao, Tony Zador, Blake Richards: NAISys
Publicat: 19.01.2022 -
BI 124 Peter Robin Hiesinger: The Self-Assembling Brain
Publicat: 05.01.2022 -
BI 123 Irina Rish: Continual Learning
Publicat: 26.12.2021 -
BI 122 Kohitij Kar: Visual Intelligence
Publicat: 12.12.2021 -
BI 121 Mac Shine: Systems Neurobiology
Publicat: 02.12.2021 -
BI 120 James Fitzgerald, Andrew Saxe, Weinan Sun: Optimizing Memories
Publicat: 21.11.2021 -
BI 119 Henry Yin: The Crisis in Neuroscience
Publicat: 11.11.2021 -
BI 118 Johannes Jäger: Beyond Networks
Publicat: 01.11.2021 -
BI 117 Anil Seth: Being You
Publicat: 19.10.2021 -
BI 116 Michael W. Cole: Empirical Neural Networks
Publicat: 12.10.2021 -
BI 115 Steve Grossberg: Conscious Mind, Resonant Brain
Publicat: 02.10.2021 -
BI 114 Mark Sprevak and Mazviita Chirimuuta: Computation and the Mind
Publicat: 22.09.2021 -
BI 113 David Barack and John Krakauer: Two Views On Cognition
Publicat: 12.09.2021 -
BI ViDA Panel Discussion: Deep RL and Dopamine
Publicat: 02.09.2021 -
BI 112 Ali Mohebi and Ben Engelhard: The Many Faces of Dopamine
Publicat: 26.08.2021 -
BI NMA 06: Advancing Neuro Deep Learning Panel
Publicat: 19.08.2021 -
BI NMA 05: NLP and Generative Models Panel
Publicat: 13.08.2021 -
BI NMA 04: Deep Learning Basics Panel
Publicat: 06.08.2021 -
BI 111 Kevin Mitchell and Erik Hoel: Agency, Emergence, Consciousness
Publicat: 28.07.2021 -
BI NMA 03: Stochastic Processes Panel
Publicat: 22.07.2021
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.
