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Entropy

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…bottleneck, latent-variable models, entropy and mutual-information estimation, world models of biological systems, and connections to dynamical systems and control theory. The workshop is part of the six-week NITMB program “Image-Based Scientific Machine Learning for Theories of Biological Dynamics Across Scales” (February 1–March 12, 2027). Program: AI in Biological Dynamics Scientific Focus

Feb 8–12, 2027

Workshop · Artificial Intelligence

Entropic independence

June Vuong · UC San Diego

Entropic independence replaces variance with entropy in an analogue of spectral independence. This talk introduces that property and shows how it can yield sharp bounds on the time required for Markov chains to approach equilibrium.

Tue, Sep 22, 2026 · 21:00 UTC

Seminar · Probability Theory

Model neurons are often considered as simple linear threshold units. However, the diversity and cell-type specificity of morphoelectric properties of dendritic trees, as well as observations of active integration of inputs to dendrites, suggest that individual cell types might have non-linear processing leading to more complex computational properties. The limited number and distribution of such non-linear processes put neurons in an intermediate category between a simple linear threshold unit and a large deep network with millions of units. In this work, we examine bounds on the complexit

ePoster · Computational Neuroscience

…for mean field energy versus entropy change and relevancy to temperature. We are using the Rankine cycle to incorporate criticality which is at null spikes of theta rate (3-7 Hz) as onset of amplitude modulations with envelopes of gamma oscillations from one zero to another zero with gaps. We are analyzing the dynamics of zeroes establishing local equilibrium. We found gaps staying close to the global average gap size of whole

ePoster · Computational Neuroscience

Some (Very) Practical Problems with Probability

Nassim Nicholas Taleb · NYU Tandon School of Engineering — Retired Distinguished Professor

…proposing heuristics for applying entropy-based methods to genetic dista

Thu, Oct 5, 2023 · 22:00 UTC

Seminar · Applied Mathematics

Both humans and monkeys are skillful at learning to form representations of latent states of their environments, those that must be inferred from observations. The neural circuits that govern this sophisticated skill include the orbitofrontal cortex, hippocampus, amygdala and other regions. Whether these regions merely store representations of latent states or actively construct them remains to be described. Further, if they are constructed, the mechanism for forming them is unknown. Here, we report on monkeys playing a simplified version of the game battleship, designed to investigate learnin

ePoster · Neuroscience