New #portfolio reel showcasing a few favorites over the years, revisited for a new look. Currently open to new clients and collaborators, short or long-term. RTs appreciated to help spread the word!.#sciencetwitter #neuroscience #scicomm #motionGraphics #dataviz #b3d #sciart

RT @AllenInstitute: Forget how your biology textbooks depicted the endoplasmic reticulum. @hhmijanelia scientist Andrew Moore used our ope….

It's a shot in the dark but is anyone in the #neuroscience community actually using any of my #sciviz videos for teaching?.I've had a lot of requests over the years but not really kept track of who and where. If you've found them useful then please DM me, I'd love to know!.

RT @ATinyGreenCell: I got hit by some rather sudden and extreme financial hardship so if anyone is in need of remote wetlab contract resear….

And if you’re curious at all about what thought went into this series of videos (and why I call it data-driven motion design and not just 3D animation like a normal person), I’ve described the creative process here:.

And last but not least, the mic-drop moment of functional connectomics. “Cells that fire together”, or to be more exact: ”Neurons with higher signal correlation are more likely to form synapses.”

One of the most impressive things about this dataset is that the neurons are functionally-matched; They optically recorded from neurons before the brain was reconstructed with #EM. This let them build a ‘digital twin’ of the neuron responses to visual stimuli.

This scene was my favorite to make. Authors showed that using the #dendritic morphology, cells could be divided into “Morphological Types”. They then showed that #inhibitory #neurons have specific preferences to which types of cells they connect to (inhibitory #motifs)

The next video shows how a massive dataset of 3D reconstructed cells can be annotated. Experts manually annotated a complete column of cells through all layers of cortex. Using measurements around the cell body (perisomatic) they were able to categorize the remainder.

The first video is for the flagship paper. Intended to emphasize the sheer scale of the dataset, (>100k #neurons) with individual #synapse resolution. It emphasized that the 3D reconstructions are functionally-matched: there are models for the same neurons that were recorded from

Here are a few stills that didn't make it into the press:.#scivis #neurons #b3d

Video thread containing the individual videos that accompanied the MICrONS paper package out last week. Not science explainer videos, more like "A trailer for a paper. Not intended to be a replacement for reading, but hopefully they make you want to:.

RT @amyneurons: If you used your eyes to read this, cells like these lit up in your visual cortex. .

RT @amyneurons: visual cortex candy from @Nature's microns papers overview! Don't miss the interactive neuron https….

#MICrONS makes the news:.#Sciviz #Neuroscience .

RT @thundercloudvol: Very proud to see this come out. This was so much work from so many people, and now the science is at your fingertips!.

RT @AllenInstitute: The brain as it's never been seen before. Scientists have created the largest wiring diagram and functional map of a….

This was a funny experience, my first 'hit' on YouTube where I experienced a whole spectrum of human opinions. The three most common comments were:.- Whoever made this music is an idiot.- Whoever made this music is a genius.- Can it play Doom?.

A friend of mine gave me the advice that one must engage in self-promotion to the point of it being cringeworthy and feeling uncomfortable. Cringeworthy is my middle name!.Here's the first animation I made from the #MICrONS cubic millimeter, just before this platform collapsed.

This sequence of videos was a remix of old videos and new content to celebrate the release of the Fly Connectome. I attempt to provide a historical context and visual narrative of some key historical moments that help us appreciate modern #connectomics in #Neuroscience .#SciViz.

This animation is made from the phase 1 dataset of the #MICrONS project. A densely segmented volume of Layer 2/3 mouse visual cortex, containing nearly 400 #neurons and 2.3 million #synapses.#neurosience #sciviz.