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Nemanode.com can now view synaptic connections and synapse sizes in 3D. Just click on the neuron name. Currently, only the adult dataset and chemical synapse are included. Please let us know if/how to make it more useful.
A long journey by @JunMeng_elegans, @_mlechha and Wesley; a pleasure with the Shangbang and Thomas' groups; gratitude to the helpful inputs and warm support from Quan and Aravi science.org/doi/10.1126/scia…
One-sentence summary: spontaneous forward and backward locomotion are not separately controlled by two circuits, but determined by the membrane potential of a narrowly tuned, tonically active premotor interneuron, previously thought to simply activate the reversal circuit.
Asymmetry in motor output - forward over reversal; A reversed asymmetry in the property of underlying circuit - neurons of the reversal circuit have higher activity. This study reveals and solves this puzzle.
Generating a complete multimodal cell census and atlas of the mouse brain through collaborative data collection, tool development and analysis. nature.com/immersive/d42859-…
zhenlab retweeted
We made a fun tool for visualizing gene expression in the C. elegans nervous system.
You can visually explore expression patterns of any gene via a spatial heatmap, and ask: Which neurons express my gene of interest? Which neurons express it at high or low levels?
zhenlab retweeted
“Ten years ago I was kicked out and forced to retire.”
Our new medicine laureate Katalin Karikó (@kkariko) told us how much it means to be awarded the Nobel Prize after a scientific career that has been full of challenges.
Ten years ago, Karikó was still doing all her experiments by hand but today she has been awarded the medicine prize for her research on mRNA, which led to the development of COVID-19 vaccines.
Listen now:
zhenlab retweeted
Are you an early-career researcher with ideas that will change the world? 🌏
The CIFAR Azrieli #GlobalScholars program is now accepting applications! Apply by Oct 30 for mentorship, career and research support.
cifar.ca/next-generation/glo…
zhenlab retweeted
Lily Jan of @UCSF and Eve Marder (@MarderLab) of @BrandeisU have been selected as this year's recipients of the Pearl Meister @GreengardPrize for their fundamental contributions to neurobiology. Congratulations! #WomeninScience
rockefeller.edu/news/34584-l…
We Ask the Canadian Government to Increase CIHR’s Budget - Sign the Petition! chng.it/DSc6drxc via @CdnChange
Congratulations to our institute's new director!
sinaihealth.ca/news/sinai-he…
zhenlab retweeted
A major obstacle to modeling the nervous system of the worm has been the unknown weights of the connections. Which are excitatory or inhibitory and how strong? Well, the lab of @AndrewLeifer has put out a Neural Signal propagation atlas to address this critical gap (1/4)
zhenlab retweeted
Preserving extracellular space for high-quality optical and ultrastructural studies of whole mammalian brains dlvr.it/SrkZlT
zhenlab retweeted
Next up, Philipp's 4K high resolution rendering of all ~127,000 neurons in the FlyWire #drosophila #connectome divided into 9 superclasses: a bird's eye view of the whole fly brain youtu.be/3obmOmQB0ak @FlyWireNews @flyconnectome
zhenlab retweeted
The octopus brain, diverged from human ancestors 500M years ago, rivals dogs & cats in neuron count! Its memory circuit boasts 25M+ neurons, over 1000x a fruit fly's MB. The revealed circuit displays a 3-layer neural network, 'memorizing' 1.8M inputs.👇
zhenlab retweeted
We mapped the connections between high order sensory inputs and memory cells in the octopus brain, first-ever reconstructed octopus memory circuit: data and principles of circuit assembly today in eLife doi.org/10.7554/eLife.84257, joint work w/ @FlavieBidel @HebrewU& @Harvard,RT!👇
mediatheque.lindau-nobel.org… It is worth watching the full recording: who raised the issue, how the exchange went, and how the session ended. It is only a reminder on why everyone has to do something about it.
zhenlab retweeted
Here’s a clip of the woman who confronted the panel. I deeply admire her courage.
“It is nothing compared to the systematic and structural discrimination have to face, especially in the stem fields”
zhenlab retweeted
Working with n>1 connectomes, led us to a new #celltype definition: “a group of cells that are more similar to cells in a different brain than to any other cell in the same brain”. We use this to propose cell types that are robust to inter-individual variation. /8
















