NeuroForge is an AI-native platform that automatically processes calcium imaging, electrophysiology, and behavioral data. No MATLAB scripts. No manual ROI curation. Upload raw data, get publication-ready results by morning.
Drop in your .tif, .nwb, or .h5 files from any microscope or recording system. Inscopix, Miniscope, Neuropixels, patch clamp. We handle the rest.
Our models handle motion correction, signal extraction, spike deconvolution, cell registration across sessions, and functional connectivity mapping. Automatically.
Wake up to clean traces, identified neurons, circuit maps, and statistical summaries formatted for your next paper. Export to NWB, MATLAB, or Python.
1-photon miniscopes, 2-photon systems, fiber photometry. One platform handles them all with modality-specific preprocessing pipelines tuned for each signal type.
Automatically register and match the same neurons across recording sessions. Track how neural populations evolve over the course of a behavioral experiment.
Identify neural ensembles, compute pairwise correlations, and map functional circuits from population activity. No custom analysis scripts needed.
Results stored in Neurodata Without Borders format. Export to MATLAB, Python, or R. Your data stays yours, in formats the community already uses.
MIN1PIPE proved that automated neural data analysis works. NeuroForge makes it accessible to every lab, every modality, every experiment. The era of running decade-old scripts and hand-curating ROIs is ending.