Excited to get started working on this! Will also aim to do 10 mm^3 at synaptic resolution across the basal ganglia, including NaC, VP, MD thalamus and VTA and the connections between, with segmentation from @zettaconnectome.
Our scientists are using millimeter-scale #volumeEM to map the brain w/ single-synapse resolution. In a recent preprint, using data spanning millions of synapses across more than 1300 neurons, they reveal new organizing principles for cortical inhibition.
biorxiv.org/content/10.1101/…
Happy to share my latest #neuro animation, a remix of previous #MICrONS videos, while I took some #SciArt license and had some fun, it remains quantitative.
Possibly inspired by me having recently ridden Smuggler’s Run.
A video🧵 1/4
#neuroscience#b3d
Happy holidays from the brain! This is an awesome remix of the original I made. I love seeing how open science and data also can lead to open art and inspiration. Thanks to the broader team from @AllenInstitute@SebastianSeung and @AToliasLab to make things like this happen.
In reality, neurons are packed in so tightly that they make sardines look comfortable. Here are 364 neurons packed into a box roughly the size of a grain of sand. This dense reconstruction is from the Allen Institute's MICrONS layer 2/3 dataset. Rendered in #Blender3d
Excited to share beam deflection Transmission Electron Microscope (bdTEM), a fun and productive collaboration with @ProjectVoxa. biorxiv.org/content/10.1101/… (1/5)
Our scientists & collaborators used the largest map of connectivity to date between cortical neurons of a defined type (L2/3 pyramidal cells in mouse primary visual cortex), to identify constraints on the learning algorithms employed by the cortex.
📄 elifesciences.org/articles/7…
We should replace the Turing test with the “Turing time”, or how long can an interaction be and not be distinguishable from human. Clearly the Turing time has passed a minute at this point, but maybe not 24 hours?
I'm happy to share a somewhat unpredicted first manuscript out of my lab with you. Browsing the invaluable @Allen Mouse Brain Connectivity Project's images we wondered, "Hey, anyone noticed these black dots in the red channel?"
The results of a fun connectomics project with @stardazed0, @Chinasaurli and collegues are finally out. Starting from an automated segmentation and EM, self-supervised learning can produce informative embeddings that make downstream tasks more attainable / possible.
We highlight brain #vasculature in large-scale 3D electron microscopy studies. There is a gold mine of information waiting to be explored, with relevance to the BBB, blood flow, brain clearance, and metabolism. Amazing resources for the vascular community.
biorxiv.org/content/10.1101/…
We recently installed a heat pump to replace our natural gas heating system. I had a hard time finding real world impact on energy usage and costs. So here’s a thread on ours. TLDR no real marginal cost change, so net positive from a marginal carbon cost point of view. 1/5
The up front cost of the system on the other hand was large and would require “saving” about $4 a day if it were to pay itself off in 10 years. Implying a cost of carbon of $478 per metric ton, well above most estimates. 4/5
I’m happy to make the investment in the planet and our house now also can cool us in a heat wave, but up front costs must come down if we are going to properly incentivize shifting to electrification. 5/5