SpikeInterface
@spikeinterfaceSpikeInterface is an open-source Python framework for analysis of electrophysiology data and spike sorting. https://t.co/FQKc5VIP3y
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📢📢📢 #neurotwitter #ephys #spikesorting SpikeInterface version 0.101.0 is released! You can update your current version with: >>> pip install -U spikeinterface It comes with many many bug fixes and new features. Check out the full release notes here: spikeinterface.readthedocs.io/en/latest/rele…
Had a fantastic time at the @spikeinterface workshop hosted by @InfAtEd earlier this week! Tons of useful info about state-of-the-art methods in the arcane art of spike sorting ⚡️ Here's @buccino_alessio from @AllenInstitute hammering home the most sobering point of the week...
Hi all, we would like to introduce you to Spyglass (github.com/LorenFrankLab/…) - our software framework for creating reproducible data analysis and data sharing for neuroscience research (spearheaded by @khl02007 and myself, but really a group effort by the Frank lab).
📢📢📢 #ephys and #spikesorting community! We are thrilled to announce the "Tools and Methods for Next Generation Electrophysiology" event, happening in Edinburgh from May 27-31. Registration link: forms.gle/6dEdeR7sD7u6u8… More info on the event: shorturl.at/oqU48
Happening tomorrow - don't miss out... 🧠⬇️
Join us and @buccino_alessio @spikeinterface @AllenInstitute on Nov 7th if you want learn about spike sorting from the experts with a follow-along tutorial covering best-practices for using the expansive SpikeInterface framework. Grab your spot here: eu1.hubs.ly/H0613yy0
#neurotwitter #ephystwitter #spikesorting 📢📢📢📢📢 SpikeInterface v0.99.0 has been released on #PyPi! pypi.org/project/spikei… Just run this to upgrade your installation: >>> pip install --upgrade spikeinterface Check out the release notes here: spikeinterface.readthedocs.io/en/0.99.0/rele…
Join us and @buccino_alessio @spikeinterface @AllenInstitute on Nov 7th if you want learn about spike sorting from the experts with a follow-along tutorial covering best-practices for using the expansive SpikeInterface framework. Grab your spot here: eu1.hubs.ly/H0613yy0
It's been a great pleasure to present @spikeinterface and recent updates in #ephys analysis at #ODIN23 at @mitbrainandcog! Lots of amazing neurotech and tools for data processing, modeling, and sharing to bring neuroscience to the next level! Thanks @neurovium for the invitation!
Alessio Buccino (Allen Institute for Neural Dynamics) SpikeInterface & SpikeForest: Spike sorting in large-scale recordings @buccino_alessio #ODIN2023 @mcgovernmit @mitbrainandcog
Now accepted in @IOPPublishing Journal of #Neural #Engineering ! Check out the accepted version here: iopscience.iop.org/article/10.108…
Do you use #neuropixels or #highdensity probes? Are your recordings filling up your hard drives? We got you covered! In the first preprint from @AllenInstitute for Neural Dynamics, we looked at ways to reduce the footprint of #ephys data. biorxiv.org/content/10.110… (1/n)
@spikeinterface is a #Python module that enables you to preprocess extracellular recordings, run and compare *several* spike sorters, and visualize the results. Also have awesome documentation! #OpenScience #neuroscience @MatthiasHennig6 @buccino_alessio @cole_hurwitz
Neuropixels 2.0 probes are now on sale! Multi-shank, miniaturized, higher density than 1.0. To order: neuropixels.org/post/neuropixe… Our paper about the probes: science.org/doi/full/10.11…
With the use of #Neuropixels probes (or similar) for 𝑖𝑛 𝑣𝑖𝑣𝑜 recordings, it is very common to observe probe "drifts", which strongly degrade spike sorting accuracy. In our recent paper, we looked at several drift correction methods and evaluated their performance! (1/10)
A modular approach to handle in-vivo drift correction for high-density extracellular recordings biorxiv.org/cgi/content/sh… #biorxiv_neursci
Do you use #neuropixels or #highdensity probes? Are your recordings filling up your hard drives? We got you covered! In the first preprint from @AllenInstitute for Neural Dynamics, we looked at ways to reduce the footprint of #ephys data. biorxiv.org/content/10.110… (1/n)
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