Brain Inspired
En podkast av Paul Middlebrooks - Onsdager
155 Episoder
-
BI 175 Kevin Mitchell: Free Agents
Publisert: 3.10.2023 -
BI 174 Alicia Juarrero: Context Changes Everything
Publisert: 13.9.2023 -
BI 173 Justin Wood: Origins of Visual Intelligence
Publisert: 30.8.2023 -
BI 172 David Glanzman: Memory All The Way Down
Publisert: 7.8.2023 -
BI 171 Mike Frank: Early Language and Cognition
Publisert: 22.7.2023 -
BI 170 Ali Mohebi: Starting a Research Lab
Publisert: 11.7.2023 -
BI 169 Andrea Martin: Neural Dynamics and Language
Publisert: 28.6.2023 -
BI 168 Frauke Sandig and Eric Black w Alex Gomez-Marin: AWARE: Glimpses of Consciousness
Publisert: 2.6.2023 -
BI 167 Panayiota Poirazi: AI Brains Need Dendrites
Publisert: 27.5.2023 -
BI 166 Nick Enfield: Language vs. Reality
Publisert: 9.5.2023 -
BI 165 Jeffrey Bowers: Psychology Gets No Respect
Publisert: 12.4.2023 -
BI 164 Gary Lupyan: How Language Affects Thought
Publisert: 1.4.2023 -
BI 163 Ellie Pavlick: The Mind of a Language Model
Publisert: 20.3.2023 -
BI 162 Earl K. Miller: Thoughts are an Emergent Property
Publisert: 8.3.2023 -
BI 161 Hugo Spiers: Navigation and Spatial Cognition
Publisert: 24.2.2023 -
BI 160 Ole Jensen: Rhythms of Cognition
Publisert: 7.2.2023 -
BI 159 Chris Summerfield: Natural General Intelligence
Publisert: 26.1.2023 -
BI 158 Paul Rosenbloom: Cognitive Architectures
Publisert: 16.1.2023 -
BI 157 Sarah Robins: Philosophy of Memory
Publisert: 2.1.2023 -
BI 156 Mariam Aly: Memory, Attention, and Perception
Publisert: 23.12.2022
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.
