A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior.
Jonathan P NewmanJie ZhangAarón Cuevas-LópezNicholas J MillerTakato HondaMarie-Sophie H van der GoesAlexandra H LeightonFilipe CarvalhoGonçalo LopesAnna A LakuninaJoshua H SiegleMark T HarnettMatthew A WilsonJakob VoigtsPublished in: bioRxiv : the preprint server for biology (2023)
Behavioral neuroscience faces two conflicting demands: long-duration recordings from large neural populations and unimpeded animal behavior. To meet this challenge, we developed ONIX, an open-source data acquisition system with high data throughput (2GB/sec) and low closed-loop latencies (<1ms) that uses a novel 0.3 mm thin tether to minimize behavioral impact. Head position and rotation are tracked in 3D and used to drive active commutation without torque measurements. ONIX can acquire from combinations of passive electrodes, Neuropixels probes, head-mounted microscopes, cameras, 3D-trackers, and other data sources. We used ONIX to perform uninterrupted, long (∼7 hours) neural recordings in mice as they traversed complex 3-dimensional terrain. ONIX allowed exploration with similar mobility as non-implanted animals, in contrast to conventional tethered systems which restricted movement. By combining long recordings with full mobility, our technology will enable new progress on questions that require high-quality neural recordings during ethologically grounded behaviors.
Keyphrases
- electronic health record
- big data
- high throughput
- type diabetes
- computed tomography
- machine learning
- optic nerve
- pain management
- gold nanoparticles
- chronic pain
- skeletal muscle
- fluorescence imaging
- artificial intelligence
- optical coherence tomography
- direct oral anticoagulants
- reduced graphene oxide
- genetic diversity
- nucleic acid