3 papers
q-bio.CB2025
How different are self and nonself?
Andreas Mayer, Jonathan A. Levine, Christopher J. Russo +3
Biological and artificial networks routinely make reliable distinctions between similar inputs, and the rules for making these distinctions are learned. In some ways, self/nonself…
cond-mat.stat-mech2024
What makes it possible to learn probability distributions in the natural world?
William Bialek, Stephanie E. Palmer, David J. Schwab
Organisms and algorithms learn probability distributions from previous observations, either over evolutionary time or on the fly. In the absence of regularities, estimating the und…
q-bio.NC2024
Probabilistic models, compressible interactions, and neural coding
Luisa Ramirez, William Bialek, Stephanie E. Palmer +1
In physics we often use very simple models to describe systems with many degrees of freedom, but it is not clear why or how this success can be transferred to the more complex biol…