BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød

BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød

Brain Inspired
Brain Inspired
BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød
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BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød

BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød

Brain Inspired
Brain Inspired
BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød
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This is the first of two less usual episodes. I was recently in Norway at a NeuroAI workshop called Validating models: How would success in NeuroAI look like? What follows are a few recordings I made with my friend Gaute Einevoll. Gaute has been on this podcast before, but more importantly he started his own podcast a while back called Theoretical Neuroscience, which you should check out.

BI 194 Vijay Namboodiri & Ali Mohebi: Dopamine Keeps Getting More Interesting

BI 194 Vijay Namboodiri & Ali Mohebi: Dopamine Keeps Getting More Interesting

Brain Inspired
Brain Inspired
BI 194 Vijay Namboodiri & Ali Mohebi: Dopamine Keeps Getting More Interesting
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The classic story is that dopamine is related to reward prediction errors. That is, dopamine is modulated when you expect reward and don’t get it, and/or when you don’t expect reward but do get it. Vijay calls this a “prospective” account of dopamine function, since it requires an animal to look into the future to expect a reward. Vijay has shown, however, that a retrospective account of dopamine might better explain lots of know behavioral data. This retrospective account links dopamine to how we understand causes and effects in our ongoing behavior. So in this episode, Vijay gives us a history lesson about dopamine, his newer story and why it has caused a bit of controversy, and how all of this came to be.

BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI

BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI

Brain Inspired
Brain Inspired
BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI
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Kim Stachenfeld embodies the original core focus of this podcast, the exploration of the intersection between neuroscience and AI, now commonly known as Neuro-AI. That’s because she walks both lines. Kim is a Senior Research Scientist at Google DeepMind, the AI company that sprang from neuroscience principles, and also does research at the Center for Theoretical Neuroscience at Columbia University. She’s been using her expertise in modeling, and reinforcement learning, and cognitive maps, for example, to help understand brains and to help improve AI. I’ve been wanting to have her on for a long time to get her broad perspective on AI and neuroscience.

BI 192 Àlex Gómez-Marín: The Edges of Consciousness

BI 192 Àlex Gómez-Marín: The Edges of Consciousness

Brain Inspired
Brain Inspired
BI 192 Àlex Gómez-Marín: The Edges of Consciousness
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Àlex Gómez-Marín heads The Behavior of Organisms Laboratory at the Institute of Neuroscience in Alicante, Spain. He’s one of those theoretical physicist turned neuroscientist, and he has studied a wide range of topics over his career.