University of California, San Francisco

SpikeGadgets says its hardware, using low-latency Ethernet and the TrodesNetwork API, lets researchers detect a neural activity pattern and trigger a perturbation within milliseconds. Two UCSF studies show it in use: one continuously decoded hippocampal population activity in rats to run a neurofeedback system, training the animals to volitionally generate specific memory representations for reward; the other triggered theta-phase-specific optogenetic stimulation in real time and showed that theta rhythm and replay are mechanistically separable.

Researchers at Coherence Neuro Global, Inc. and other institutions have used implanted neural interfaces to track glioma growth in freely behaving mice over time. Across several mouse strains and glioma models, tumor progression went with elevated gamma-band activity in the tumor microenvironment, and machine learning models read tumor burden off the chronic recordings, with gamma trajectories predicting individual growth rates. The work was posted to bioRxiv on July 9, 2026, and has not been peer reviewed.