Models of mind

Biology, Physics, Chemistry. 23/09/10

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This is a conversation with Grace Lindsay. She is a computational neuroscientist Research Fellow at University College London. She works on building functional and interpretable models of sensory processing. Grace is also an author of a great book 'Models of the mind'. In this conversation we talk about Grand unified theories of the brain, importance of computational neuroscience, modern artificial intelligence, connectomes and human brain project.


About the guest

  • 00:00:00 Introduction

  • 00:00:53 Inspiration to write a book on computational Neuroscience

  • 00:03:29 Grace's metaphor for the brain

  • 00:04:29 Why mathematical modeling is important for Neuroscience

  • 00:07:50 Grand unified theories of the brain

  • 00:13:05 Are Grand unified theories successful?

  • 00:15:31 Aim of computational Neuroscience

  • 00:17:05 Evolution as a grand unified theory

  • 00:18:51 Human brain project

  • 00:23:05 Using small functional models to get a grand unified theory

  • 00:26:28 Less complex species to understand brain

  • 00:29:26 Connectomes

  • 00:32:40 Action potential

  • 00:34:03 Regulation of the action potential

  • 00:35:27 Boolean operations in neuroscience

  • 00:37:59 Modern AI and the brain

  • 00:41:33 How to deal with biases and noise in AI models?

  • 00:44:50 Are there different areas in the brain?

  • 00:47:56 Are there any anatomical differences between regions of the brain?

  • 00:49:10 Structure-function relationship

  • 00:53:33 GPS system of the brain

  • 00:55:45 Favorite scientist?

  • 00:56:57 Favorite model

  • 01:00:45 Major questions in the field?

  • 01:05:35 Further reading

  • 01:07:02 Are we living in simulation?

  • 01:07:26 Thank you!

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