Love it how everyone I follow or follows me is a scientist, a former scientist (once a scientist, always a scientist) or is interested in science. So far no media personalities, no politicians. And lacking promoted posts—ads or otherwise—the signal to noise ratio went through the roof. After all, “science is the only news”, as the saying goes.
🎉Applications are open for our #workshop on the theory of neural networks in Les Houches (France) from 20.-24.02.23, organised w/ Marc Mezard, Sebastian Goldt. Check out our fantastic set of speakers from neuro & ML and apply until Dec 1st https://statphysneuro.github.io
An extremely off season mining bee screams #climatechange like few other bioindicators. This British Andrena sp. #nativebee most likely ought to have been dead since late August, yet here we are, October 31st, Halloween. #iNaturalist #entomology http://www.inaturalist.org/observations/140710447
And found John Tuthill too — welcome! @tuthill
Found Scott Waddell — welcome! @scottishwaddell
@mishaahrens @NicoleCRust
Agree 100%! That's why I'm excited :). It would be very hard (maybe impossible?) to understand complex, heterogeneous systems without these measurements. I think we don't have most the methods we need to make use of this data to get "understanding" of how all the pieces fit together. I think one of the factors holding us back is the lack of these methods (I'm betting on combinations of human & machine intelligence). I also think ideas of how to measure how well these methods work (measurements of measurements of measurements...) are one of our biggest holes.
If only we used masks all the time in public: “A jet airliner with 54 persons aboard was delayed on the ground for three hours because of engine failure during a takeoff attempt. Most passengers stayed on the airplane during the delay. Within 72 hours, 72 per cent of the passengers became ill” … with flu. In 1979. We’ve had so much time.
“An outbreak of influenza aboard a commercial airliner”
M R Moser et al. Am J Epidemiol. 1979 Jul. https://pubmed.ncbi.nlm.nih.gov/463858/
Above, my #introduction of interests. Here, who I am, what I do: a neuroscientist at the #MRCLMB and University of Cambridge, UK, studying the neural circuit basis of behavior, originally in #Drosophila but now also in #cephalopods (#pygmysquid #Idiosepius), the lancelet #Amphioxus and other animals. Our main approach: whole brain #connectomics with #vEM (volume electron microscopy) as the basis for computational modeling to guide neuronal activity perturbation and monitoring experiments with #optogenetics and #electrophysiology (#ephys for short).
Once upon a time I founded the #ImageJ -based #TrakEM2 software for image registration and neuronal arbor reconstruction and annotation, which spurred founding the #FijiSc (https://fiji.sc) image processing software, and later the #CATMAID web-based software for #connectomics.
Always open to inquires from prospective students and postdocs, and collaborations.
Hello world! Here to (re)build a #neuroscience peer network.
#Drosophila #zebrafish #mouse #cephalopods
Also interested in #entomology #wasplove #nativebee #macrophotography and many more.
My website: https://albert.rierol.net
My #iNaturalist: https://www.inaturalist.org/lifelists/albertcardona?view=tree&details_view=observations
How does the brain work? Someday, we'll figure it out.
Group Leader, MRC LMB, and Professor, University of Cambridge, UK.
#neuroscience #Drosophila #TrakEM2 #FijiSc #CATMAID #connectomics #vEM
Born at 335 ppm.
Brains, signal processing, software and entomology: there will be bugs.