NEURONpyxl: Fast, flexible, Python-integrated simulation of biophysical neural networks with complex plastic synapses

This dataset contains the data that are required to reproduce the figures and results from Dickman et al. (2025, submitted). The manuscript describes the development of a Python package that reads parameters from a preformatted Excel spreadsheet to construct a conductance-based neuronal network using the NEURON simulator. The manuscript demonstrates the building of networks based on the formalism used to develop the Simulator for Neural Networks and Action Potentials (SNNAP). The dataset contains voltage and current traces from SNNAP and NEURON simulations, and data from a parameter search that tuned parameters in a complex network.