Last week @SteinmetzNeuro and I ran the 2020 UCL #Neuropixels course @UCLBrainScience, supported by @wellcometrust. The videos of the lectures are now online. Links in the thread below and (soon) at the course page:… 1/n
Lecture 1.2 - Introduction to Neuropixels – by Matteo Carandini @UCLeye @UCLBrainScience

Lecture 1.3 - The technology in Neuropixels – by Carolina Mora Lopez @imec_int 2/n
Lecture 1.4 - Recording across the brain with Neuropixels - by Nick Steinmetz @SteinmetzNeuro @UW

Lecture 1.5 - Science with large recordings - by Kenneth Harris @kennethd_harris @UCLIoN @UCLBrainScience 3/n
Lecture 1.6 - Practicalities of Neuropixels recordings – by Sylvia Schröder @sylvia_schroed @SussexNeuro
Lecture 1.7 - Planning a Neuropixels trajectory – by Andrew Peters @flickerfusion @UCLeye @UCLBrainScience 4/n
Lecture 2.2 - Practicalities of Neuropixels recordings 2 – by Nick Steinmetz @SteinmetzNeuro @UW

Lecture 2.3 - Spike sorting with Kilosort – by Marius Pachitariu @marius10p @HHMIJanelia 5/n
Lecture 2.4 - Using Kilosort's graphical user interface - by Nick Steinmetz @SteinmetzNeuro @UW

Lecture 2.5 - Curating sorted spikes with Phy - by Nick Steinmetz @SteinmetzNeuro @UW 6/n
Lecture 3.2 - Combining Neuropixels with imaging - by Andrew Peters @flickerfusion @UCLeye @UCLBrainScience

Lecture 3.3 - Combining Neuropixels with optogenetics – by Maxime Beau @maxime_beau @NeuralCompLab @uclmedsci 7/n
Lecture 3.4 - Implanting chronic Neuropixels probes – by Dario Campagner @trabranco @SWC_Neuro

Lecture 3.6 - Recording from the same neurons across weeks – by Anna Lebedeva @neurvanna @SWC_Neuro @UCLBrainScience 8/n
Lecture 3.7 - Mapping Neuropixels tracks from 2D histology – by Andrew Peters @flickerfusion @UCLeye @UCLBrainScience

Lecture 3.8 - Mapping Neuropixels tracks from 3D histology – by Steven West @SWC_Neuro @IntlBrainLab 9/n
Lecture 3.9 - Aligning Neuropixels tracks to an atlas - by Mayo Faulkner @SWC_Neuro @IntlBrainLab

And last but not least: thanks for the attendees for making it a super-lively course! 10/10

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More from @MatteoCarandini

14 Jun
Thanks to institutional subscriptions, commercial scientific publishers operate a lucrative market. How lucrative? Spectacularly so. A brief thread focusing on Elsevier, for reasons that will become clear. (1/n)
In 2019, Elsevier made a profit of £982 million (out of r £2.6 billion revenue). Is that a big profit? In dollars, it’s $1.2 billion. In euros, €1.1 billion. It’s a big number, but maybe it’s okay? (2/n)
To judge a profit, divide it by revenue, to obtain “net margin”. Elsevier’s is 982/2,637, which is… 37%. Twice as profitable as Google! No industry is so profitable. The top is banking at 31%. Pharma is at 18%. Tobacco: 17%. Oil 9%. Alcohol 8%. (3/n)…
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