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. 

 

Connect:
Simplifying Complexity on X
Sean Brady on X
Sean Brady on LinkedIn
Brady Heywood website

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>

Wavelength Creative

Simplifying Complexity is a podcast about the underlying principles of complex systems. On the show, we explore the key concepts of complexity science with expert minds from around the world. Each episode focuses on an interview where we break down a specific concept in detail.

Simplifying Complexity is a podcast about the underlying principles of complex systems. On the show, we explore the key concepts of complexity science with expert minds from around the world. Each episode focuses on an interview where we break down a specific concept in detail.

Simplifying Complexity is a podcast about the underlying principles of complex systems.

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