Story time! Single neurons in the brain can’t be depended on for reliable information. Here are some neurons from our recent study, recorded twice in response to the same visual stimuli. Different neurons are active at different times!
biorxiv.org/content/10.1101/…
The first preprint of my postdoc with @jtdudman
is now online! Here we wanted to understand the algorithms mice use when learning to forage in large environments with many potential resources. 1/n biorxiv.org/content/10.1101/…
It's great to be at #I2K2024#i2k and see (almost) everyone in bioimage analysis.
If you're interested in OME-Zarrs or what we're doing with Fractal, stop by my poster today! :)
🖥️ Rastermap, a new visualization tool developed by the Stringer (@computingnature) & Pachitariu (@marius10p) labs, helps scientists uncover activity patterns in large-scale neural recordings. 🧠
🔗janelia.org/news/new-tool-he…
We performed ephys recordings, in head-fixed and freely moving animals, and found the head-direction system boosts its gain when a landmark is seen—suggesting a mechanism that signals stronger confidence in vision when natural objects are present. 4/
Six tips for going public with your lab’s software: nature.com/articles/d41586-0…
1) make time for maintenance
2) simplify installation
3) add a GUI or good CLI
4) good documentation
5) use github/git
6) automated testing
Any other tips people have?
#OpenScience#OpenSource
Six tips for going public with your lab’s software: nature.com/articles/d41586-0…
1) make time for maintenance
2) simplify installation
3) add a GUI or good CLI
4) good documentation
5) use github/git
6) automated testing
Any other tips people have?
#OpenScience#OpenSource
We are excited to introduce PetaKit5D, a comprehensive suite of software tools designed to tackle challenges in the handling of large datasets and make processing of petabyte-scale datasets feasible: nature.com/articles/s41592-0…
This is a *beautiful* paper and method, and while the paper itself is very careful about drawing conclusions from the variety of datasets it analyzes, I'd say the edifice of "the brain is chaotic" hypothesis is crumbling!
Wonderful tool for exploring neural data! Stationary and dynamic patterns, all in one place and along a single dimension. Not a petri dish mold-shaped point-cloud in sight. It’s become one of my favorite ways of trying to guess at what neurons are up to.
It's the middle of breast cancer awareness month! I must admit I dislike getting mammograms. It's not the procedure, it's just the fear of the unknown. But, breast cancer can be very treatable if caught early, so please get checked!
@KordingLab and I efficiently optimize high-dimensional biophysical neuron models with heterogeneous active dendrites using the gradient-based backpropagation of error algorithm typically used to train models in deep learning. Preprint on arxiv: arxiv.org/abs/2407.04025 1/18
Do we really need neural networks to predict the activity of ~real~ neurons? Yes, but we can make them a lot simpler, at least in V1 of 🐭 🐒 #minimodels#neuroAI