Brain Inspired
Ein Podcast von Paul Middlebrooks - Mittwochs
166 Folgen
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BI 225 Henk De Regt: Understanding in Machines and Humans
Vom: 19.11.2025 -
BI 224 Dan Nicholson: Schrödinger’s What is Life? Revisited
Vom: 5.11.2025 -
BI 223 Vicente Raja: Ecological Psychology Motifs in Neuroscience
Vom: 22.10.2025 -
BI 222 Nikolay Kukushkin: Minds and Meaning from Nature’s Ideas
Vom: 8.10.2025 -
BI 221 Ann Kennedy: Theory Beneath the Cortical Surface
Vom: 24.9.2025 -
BI 220 Michael Breakspear and Mac Shine: Dynamic Systems from Neurons to Brains
Vom: 10.9.2025 -
BI 219 Xaq Pitkow: Principles and Constraints of Cognition
Vom: 27.8.2025 -
BI 218 Chris Rozell: Brain Stimulation and AI for Mental Disorders
Vom: 13.8.2025 -
BI 217 Jennifer Prendki: Consciousness, Life, AI, and Quantum Physics
Vom: 30.7.2025 -
BI 216 Woodrow Shew and Keith Hengen: The Nature of Brain Criticality
Vom: 16.7.2025 -
BI 215 Xiao-Jing Wang: Theoretical Neuroscience Comes of Age
Vom: 2.7.2025 -
BI 214 Nicole Rust: How To Actually Fix Brains and Minds
Vom: 18.6.2025 -
BI 213 Representations in Minds and Brains
Vom: 4.6.2025 -
BI 212 John Beggs: Why Brains Seek the Edge of Chaos
Vom: 21.5.2025 -
BI 211 COGITATE: Testing Theories of Consciousness
Vom: 7.5.2025 -
BI 210 Dean Buonomano: Consciousness, Time, and Organotypic Dynamics
Vom: 22.4.2025 -
BI 209 Aran Nayebi: The NeuroAI Turing Test
Vom: 9.4.2025 -
BI 208 Gabriele Scheler: From Verbal Thought to Neuron Computation
Vom: 26.3.2025 -
BI 207 Alison Preston: Schemas in our Brains and Minds
Vom: 12.3.2025 -
Quick Announcement: Complexity Group
Vom: 5.3.2025
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.
