singleneuron

Singleneuron is a software framework for simulating the electrical behavior of single neurons and small neuronal compartments. It is designed to be accessible to researchers and students while providing enough depth to study membrane dynamics, spiking, and dendritic integration. The project emphasizes modularity, allowing users to assemble neuron models from a library of components and to compare different representations of ionic currents, passive properties, and synaptic inputs.

Its modeling toolkit supports several canonical neuron models, including multicompartment Hodgkin–Huxley cells, integrate-and-fire variants, and simplified FitzHugh–Nagumo representations. Users can construct dendritic trees, attach synapses, apply current injections or stochastic inputs, and observe voltage traces, spike times, and subthreshold activity. The simulation engine offers time stepping through numerical solvers, event handling for spikes, and facilities for parameter sweeps, optimization, and sensitivity analysis. A Python API and a graphical user interface enable both programmatic workflows and interactive exploration, with data export in standard formats for downstream analysis.

Singleneuron is developed as an open-source project with a permissive license and community-driven governance. Documentation, tutorials, and example models are provided to support learning and reproducible research. The project emphasizes interoperability, enabling import and export of models from other toolkits and compatibility with common data formats used in neuroscience.

See also: Hodgkin–Huxley model, NEURON, Brian, dendritic computation, computational neuroscience education.