To lower the barrier to entry into systems neuroscience, I have been developing both recording devices and recorded data analysis tutorials. I believe that such open knowledge will broaden the foundation of systems neuroscience research and lead to innovative results.
Spike sorting is a notoriously time-consuming bottleneck in in vivo electrophysiology. This pipeline performs automated waveform curation to eliminate noise and artifacts from putative clusters, enabling robust and efficient spike sorting.
Despite the advent of high-density silicon probes, simultaneously recording from multiple, distinct subcortical regions in freely behaving mice remains challenging due to geometric and weight constraints. This customizable microdrive overcomes these limits and includes a complete fabrication tutorial.
Active Development
Designed for students and researchers newly acquiring in vivo neural recordings, these comprehensive tutorials serve as an accessible, hands-on introduction to essential coding practices and fundamental methodologies for analyzing neural dynamics.
For large field-of-view two-photon calcium imaging data.
When capturing massive fields of view (e.g., 3 × 3 mm), efficiently detecting individual neurons is critical, as recording data is futile without robust biological extraction. Optimizing algorithms from Ito et al. (Neurosci Res., 2022), this method enhances processing speed for motion correction and soma detection in large-scale two-photon calcium imaging.
Whole-slide microscopes often capture multiple tissue sections simultaneously within a single panoramic image. This tool automatically isolates and crops each individual brain slice, streamlining subsequent atlas registration and downstream spatial analysis.