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Hessam Akhlaghpour is a postdoctoral researcher at Rockefeller University in the Maimon lab. His experimental work is in fly neuroscience mostly studying spatial memories in fruit flies. However, we are going to be talking about a different (although somewhat related) side of his postdoctoral research. This aspect of his work involves theoretical explorations of molecular computation, which are deeply inspired by Randy Gallistel and Adam King's book Memory and the Computational Brain. Randy has been on the podcast before to discuss his ideas that memory needs to be stored in something more stable than the synapses between neurons, and how that something could be genetic material like RNA. When Hessam read this book, he was re-inspired to think of the brain the way he used to think of it before experimental neuroscience challenged his views. It re-inspired him to think of the brain as a computational system. But it also led to what we discuss today, the idea that RNA has the capacity for universal computation, and Hessam's development of how that might happen. So we discuss that background and story, why universal computation has been discovered in organisms yet since surely evolution has stumbled upon it, and how RNA might and combinatory logic could implement universal computation in nature.
Hessam's website.
Maimon Lab.
Twitter:
@theHessam.
Related papers
An RNA-based theory of natural universal computation.
The molecular memory code and synaptic plasticity: a synthesis.
Lifelong persistence of nuclear RNAs in the mouse brain.
Cris Moore's conjecture #5 in this 1998 paper.
(The Gallistel book):
Memory and the Computational Brain: Why Cognitive Science Will Transform Neuroscience.
Related episodes
BI 126 Randy Gallistel: Where Is the Engram?
BI 172 David Glanzman: Memory All The Way Down
Read the transcript.
0:00 - Intro
4:44 - Hessam's background
11:50 - Randy Gallistel's book
14:43 - Information in the brain
17:51 - Hessam's turn to universal computation
35:30 - AI and universal computation
40:09 - Universal computation to solve intelligence
44:22 - Connecting sub and super molecular
50:10 - Junk DNA
56:42 - Genetic material for coding
1:06:37 - RNA and combinatory logic
1:35:14 - Outlook
1:42:11 - Reflecting on the molecular world
