Proud to share this work connecting population-level factors to spiking activity, in @cellpress!

https://www.cell.com/neuron/fulltext/S0896-6273(22)01080-7

Latent factors are a powerful framework for understanding computation but what are factors? Just an analysis trick? Where are they in a neural circuit? (1/9) #neuroscience #tootprint #neuralnetworks

The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks
https://doi.org/10.1016/j.neuron.2022.12.007

#neuroscience

𝚃𝚑𝚎 𝙴𝚗𝚝𝚊𝚗𝚐𝚕𝚎𝚍 𝙱𝚛𝚊𝚒𝚗 is out! 🧠

I wrote it with the general reader in mind, so if you want to learn about the brain from a fresh perspective give it a try.

I'll post some threads about the chapters later

May I present for your delectation The Spike's review of the year in neuroscience!

https://medium.com/the-spike/2022-a-review-of-the-year-in-neuroscience-ae4e0de082e7?sk=85b3166c4824c57e5f8153f91c1e7bdd

#introduction
Hi, #neuroscience community.

I'm an assistant professor at the University of Washington who works at the intersection of engineering and neuroscience. I am excited about using engineering tools like closed-loop motor brain-computer interfaces to probe basic neuroscience questions, and using insights about the brain to improve functionality of BCI applications.

My lab's current work
1) explores using BCIs as tools to begin unravelling how learning computations happen in neural populations
2) studies the interactions between users who learn alongside algorithms ("co-adaptation").
3) investigates how brains build "internal models", with a current interest in how to quantify internal model formation behaviorally.
We use both animal models (non-human primates) and human subject experiments. We also collaborate closely with computational and theoretical neuroscientists.

Trying out this thing as an alternative to Twitter. I'm already intimidated by the space to write and minimal pressure to edit.

#introduction
I am a postdoc at Stanford University, working with Krishna Shenoy. In collaboration with many experimental and computational colleagues, I study the neural mechanisms that control movement, and more broadly, how neural populations spanning interconnected brain regions perform the distributed computations that drive skilled behavior. I develop experimental and computational tools to understand the neural population dynamics that establish speed and dexterity.

I aim to discover insights into brain-wide computations in health and in neurological disease, with an eye towards identifying effective, targeted neuromodulation to treat movement disorders.

I also build open source tools:

• https://djoshea.github.io/neuropixel-utils/
• https://lfads.github.io/lfads-run-manager/
• https://github.com/djoshea/eraasr
• https://github.com/djoshea/haptic-control

Looking forward to joining the growing neuro community here!