activity
20172026
most citedFlexible statistical inference for mechanistic models of neural dynamics

96 citations · 135 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.SC2026

The Origins of Transient Bimodality

Kaan Öcal, Augustinas Sukys, Aanjaneya Kumar +1

Many dynamical systems exhibit diverse modes of behavior. In biology, such modes can represent individual or cell fates. While the emergence of multimodality is commonly studied, t…

q-bio.QM2024

Cell size distributions in lineages

Kaan Öcal, Michael P. H. Stumpf

Cells actively regulate their size during the cell cycle to maintain volume homeostasis across generations. While various mathematical models of cell size regulation have been prop…

q-bio.QM2022★ 10 cited

Model Reduction for the Chemical Master Equation: an Information-Theoretic Approach

K. Öcal, G. Sanguinetti, R. Grima

The complexity of mathematical models in biology has rendered model reduction an essential tool in the quantitative biologist's toolkit. For stochastic reaction networks described…

q-bio.QM2019★ 29 cited

Parameter estimation for biochemical reaction networks using Wasserstein distances

Kaan Öcal, Ramon Grima, Guido Sanguinetti

We present a method for estimating parameters in stochastic models of biochemical reaction networks by fitting steady-state distributions using Wasserstein distances. We simulate a…

stat.ML2017★ 96 cited

Flexible statistical inference for mechanistic models of neural dynamics

Jan-Matthis Lueckmann, Pedro J. Goncalves, Giacomo Bassetto +3

Mechanistic models of single-neuron dynamics have been extensively studied in computational neuroscience. However, identifying which models can quantitatively reproduce empirically…