811 citations · 7.3k across the 89 of their papers we have counts for
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Random versus maximum entropy models of neural population activity
Ulisse Ferrari, Tomoyuki Obuchi, Thierry Mora
The principle of maximum entropy provides a useful method for inferring statistical mechanics models from observations in correlated systems, and is widely used in a variety of fie…
Mouse T cell repertoires as statistical ensembles: overall characterization and age dependence
Zachary Sethna, Yuval Elhanati, Crissy S. Dudgeon +4
The ability of the adaptive immune system to respond to arbitrary pathogens stems from the broad diversity of immune cell surface receptors (TCRs). This diversity originates in a s…
A model for the integration of conflicting exogenous and endogenous signals by dendritic cells
Quentin Marcou, Irit Carmi-Levy, Coline Trichot +3
Cells of the immune system are confronted with opposing pro- and anti-inflammatory signals. Dendritic cells (DC) integrate these cues to make informed decisions whether to initiate…
A tractable method for describing complex couplings between neurons and population rate
Christophe Gardella, Olivier Marre, Thierry Mora
Neurons within a population are strongly correlated, but how to simply capture these correlations is still a matter of debate. Recent studies have shown that the activity of each c…
Quantifying lymphocyte receptor diversity
Thierry Mora, Aleksandra Walczak
To recognize pathogens, B and T lymphocytes are endowed with a wide repertoire of receptors generated stochastically by V(D)J recombination. Measuring and estimating the diversity…
Rényi entropy, abundance distribution and the equivalence of ensembles
Thierry Mora, Aleksandra M. Walczak
Distributions of abundances or frequencies play an important role in many fields of science, from biology to sociology, as does the Rényi entropy, which measures the diversity of a…