In the last episode, Christopher Lynn, Assistant Professor of Physics at Yale University, discussed how we can better understand brain function and consciousness using statistical mechanics and information theory. In this episode, Christopher expands on the practical applications of statistical mechanics and information theory for modelling neuron firing rates and predicting brain activity patterns.&nbsp; &nbsp; Connect: <ul> <li aria-level="1"><a href="https://twitter.com/BHComplexity">Simplifying Complexity on X</a></li> <li aria-level="1"><a href="https://twitter.com/BradyHeywood">Sean Brady on X</a></li> <li aria-level="1"><a href="https://www.linkedin.com/in/sean-brady-11a95427/">Sean Brady on LinkedIn</a></li> <li aria-level="1"><a href="https://www.bradyheywood.com.au/">Brady Heywood website</a></li> </ul> This show is produced in collaboration with Wavelength Creative. Visit <a href="https://wavelengthcreative.com/?utm_source=show-notes&utm_medium=referral&utm_content=rss-feed-footer">wavelengthcreative.com</a> for more information.

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What can physics tell us about the brain? - Part 2

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