Bayesian simulator-based inference is used to infer the parameters of complex multicompartment models of retinal neurons from two-photon imaging data.

Hippocampome.org v1.0, a foundational classification system of hippocampal neuron types, has evolved into 2.0, which recenters the focus on new functionality to build real-scale, biologically detailed, data-driven computational simulations.

The NWB data language enables reproduction, interchange, and reuse of diverse neurophysiology data, and the design principles of NWB are generally applicable to enhance discovery across biology through data FAIRness.

Spontaneous theta oscillations and interneuron-specific phase preferences emerge spontaneously in a full-scale model of the isolated hippocampal CA1 subfield, corroborating and extending recent experimental findings.

A computer model of human cardiomyocyte was produced and validated on independent datasets, overcoming shortcomings of its predecessors, also yielding broadly relevant insights and results on major ionic currents.

Two seemingly distinct behaviors in social C. elegans worms, namely aggregating into groups and swarming over food, are driven by the same underlying mechanisms.

Combining powerful simulation methods uncovers the structural and dynamical changes driving G protein activation in atomic detail, revealing the allosteric network that triggers GDP release and reconciling diverse experimental data.

Combining experimental and theoretical approaches reveals the interplay between optogenetic manipulation and recurrent interactions in mouse cortex.

In the microbe Chlamydomonas reinhardtii, a disassembly rate which depends on flagellar length provides an effective method to regulate the length of its two flagella.

Integrated experimental-computational approaches were implemented to reveal the dynamic conformational landscape of a biologically relevant protein methyltransferase SETD8 for functional annotation.