Blog
Untethered and Unbothered: Neuropixels Meets SpikeGadgets in Freely Moving Animals
High-density Neuropixels probes can record from hundreds to thousands of neurons at once — but that density used to come at the cost of freedom of movement, since the probe’s data had to be streamed out through a cable to a fixed acquisition system. SpikeGadgets’ Neuropixels-compatible dataloggers remove that constraint: the systems write probe data straight to onboard storage, so the animal can carry the whole recording system with it, wirelessly, while behaving naturally. Over the past twelve months, four papers have put this combination — Neuropixels probes plus a SpikeGadgets datalogger — to work in freely moving and freely flying animals, and the results are reshaping some long-standing assumptions about hippocampal replay, prefrontal sequence coding, and vocal communication. Here’s a roundup.
Introducing: The Pixie384 Datalogger Headstage
SpikeGadgets is proud to announce the release of the Pixie 384 Datalogger Headstage. Inspired by the best-selling HH128 and HH256 dataloggers, the Pixie384 boasts triple the channels of the HH128 datalogger with 50% longer record time (using a 400mAh battery)!
SpikeGadgets Enables Groundbreaking Neural Recording Study in Freely Flying Bats
SpikeGadgets is proud to announce that our Neuropixels Datalogger Headstage played a crucial role in a landmark study published in Nature, marking the first successful wireless Neuropixels recording of large-scale neural activity from freely flying bats. This breakthrough research, conducted at UC Berkeley by a team led by Michael Yartsev, represents a significant advancement in our understanding of how the mammalian brain processes three-dimensional navigation.
New Product Release: Sprite32, a Datalogger for Mice
SpikeGadgets is thrilled to announce the release of the Sprite32 Datalogger – a 32-channel headstage lightweight enough for untethered datalogging with animals as small as mice!
Breakthrough in Neural Interface Technology for Memory Retrieval Research
A recent paper from Loren Frank’s lab at UCSF has unveiled a significant advancement in brain-machine interface (BMI) technology, specifically designed for studying memory retrieval processes in rats. With help from SpikeGadgets, they developed a sophisticated closed-loop hippocampal neurofeedback system that allowed rats to generate specific remote spatial representations without sensory cues or physical movement toward target locations.