
Rethinking Brains, Data, and Science
| Platform | Pricing | Only free issues | Publishes | Daily | |
|---|---|---|---|---|---|
| Issues | 31 | Subscribers | Read | kording.substack.com |
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Mathematical attractors elegantly formalize stability and convergence, but in neuroscience the term is often mistaken for a full mechanistic explanation. Demonstrating bump‑like activity in head‑direction circuits shows the phenomenon, not ...
The metabolism of our cells is powered by a vast array of enzymes. These enzymes catalyze the transformation of molecules, allowing the cell to convert substrates into useful products. But this creates a fundamental challenge: cells don't j...
As a neuroscientist with extensive experience in both connectomics and machine-learning research, I’ve watched the ’brains as blueprints for AI’ narrative grow—and I believe it rests on flawed assumptions. In this post I am trying to share ...
Doing good science is hard. There are so many ways how science can go wrong. Our studies are too small. We confuse correlation with causation. We are biased. Our hypotheses are not fairly tested. We overfit. We fail to understand the litera...
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The writers behind this newsletter.
@Penn Prof, deep learning, brains, causality, rigor, http://neuromatch.io, http://c4r.io, Transdisciplinary optimist, Dad, Loves outdoors, \ud83e\udd96
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