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Topic: information loss

Seminar
1 seminar
Podcast episode
1 podcast episode

In Applied Mathematics and Computational Neuroscience

Podcast episode · Quantum Physics

349 | Daniel Harlow on What Quantum Gravity Teaches Us About Quantum Mechanics

Sean Carroll's Mindscape

Mar 30, 2026

Daniel Harlow discusses what attempts to reconcile gravity and quantum mechanics reveal about quantum theory itself. The conversation follows black-hole radiation, information loss, the wave function of the universe, the AdS/CFT correspondence and quantum information. It then connects these developments to quantum cosmology and questions about the structure of quantum mechanics.

Seminar · Computational Neuroscience

Reading out responses of large neural population with minimal information loss

Tatyana Sharpee · Salk Institute for Biological Studies

Fri, Apr 9, 2021 · 15:00 UTC

Classic studies show that in many species – from leech and cricket to primate – responses of neural populations can be quite successfully read out using a measure neural population activity termed the population vector. However, despite its successes, detailed analyses have shown that the standard population vector discards substantial amounts of information contained in the responses of a neural population, and so is unlikely to accurately describe how signal communication between parts of the nervous system. I will describe recent theoretical results showing how to modify the population vect