3 papers
stat.ME2025
Selecting fitted models under epistemic uncertainty using a stochastic process on quantile functions
Alexandre René, André Longtin
Fitting models to data is an important part of the practice of science. Advances in machine learning have made it possible to fit more -- and more complex -- models, but have also…
q-bio.NC2025
Optimal rate-variance coding due to firing threshold adaptation near criticality
Mauricio Girardi-Schappo, Leonard Maler, André Longtin
Recurrently connected neuron populations play key roles in sensory perception and memory storage across various brain regions. While these populations are often assumed to encode i…
q-bio.NC2025
Neural Heterogeneity Enables Adaptive Encoding of Time Sequences
Raphaël Lafond-Mercier, Leonard Maler, Avner Wallach +1
Biological systems represent time from microseconds to years. An important gap in our knowledge concerns the mechanisms for encoding time intervals of hundreds of milliseconds to m…