Weill Neurohub Assistant Professor @UW_PBIO and @uwcnc - computational/theoretical neuroscientist and ML researcher with a passion for teaching and coffee
Yesterday my changes to the LLaMA C file format were approved. Here's how folks in the community have been reacting to my work. github.com/ggerganov/llama.c…
📣Excited to share our preprint on excitatory morphological cell types in mouse visual cortex led by Marissa Weis. In this paper, we describe a set of principles that capture the morphological diversity excitatory neurons. A thread: (1/10)
biorxiv.org/content/10.1101/…
LLMs will change *everything* for teaching. I want to develop a set of procedures for @neuromatch to utilize their potential. So looking to build a (volunteer) group to build a suite of tools that use LLMs to improve teaching. Broadly construed. DM me if interested.
Excited that my thesis work in collab w/ with Dat T. Tran & @AToliasLab is out as a preprint
biorxiv.org/content/10.1101/…
We use #DeepLearning to study single-cell invariance in 🐭 V1 and discover a new form of bipartite invariance that may play a role in object boundary detection.
The only thing I love more than neuroscience is... teaching neuroscience.
Here's a video series of my undergrad “Intro to Neuro” class. Adding new topics regularly. Check them out!
youtube.com/playlist?list=PL…
Exciting opportunity to come work with us @AllenInstitute for Neural Dynamics! 🐭🧠🔬⚡️Happy to answer questions about the position. 🙏🏼 Please retweet & share 🙏🏼
We have an open position for a Research Associate at the @AllenInstitute for Neural Dynamics. Come join our exciting research environment. Please share!
alleninstitute.hrmdirect.com…
The noisy review process tipped in our favor! Huge congratulations to @NeuroPavi and co-authors on the COSYNE poster acceptance. And looking forward to seeing some fun science in Montreal 🎉
Good luck to everyone submitting cosyne abstracts. May the slightly noisy review process be in your favor! Crossing fingers I and the lab will finally get to go...
Open Ephys has some big news: we have been awarded a Phase II SBIR to develop exciting new tech using our open-hardware standards. We are looking for an engineer to help us with this! Here are some reasons you might want to apply...
So many new labs starting this fall👏✨ #newPI pro tip: whatever time, money, and effort you invest in solid data management pipelines and git controlled code is worth it. When I started 5 years ago (today), it was a priority and it’s so, so worth it. #BetterCodeBetterResearch
Two job applications, two offers. Happy to join both departments. I am delighted to announce that I will start my lab as an Assistant Professor in @UWPharmacology & @UW_PBIO in January 2023.
Simulation-based inference (SBI) has accelerated model-building across many disciplines. It’s also useful for studying cognition: We present Mixed Neural Likelihood Estimation, an SBI method tailored to models of decision-making! By @janfiete@janmatthis@_rdgao@jakhmack
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👏👏 Definitely the right decision to use this method for DDM parameter inference if you care about reducing your electricity consumption - which I hope is all of you reading this 🌎🔥 congrats @_rdgao@janmatthis@jakhmack and in particular congrats @janfiete
MNLE is highly simulation-efficient: We apply it to two variants of the drift-diffusion model of decision-making and show that it infers accurate and well-calibrated posteriors, but requires only 10^5 training simulations where a previously developed method needed 10^11!🚀🚀
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Congrats to @NeuroPavi for presenting her work @ AREADNE! She's looking at credit assignment learning in BCI at both the neuron and population levels. Surprisingly, initial results suggest learning leads to relatively sparse but high-dimensional solutions!
Can you guess what's hidden in these images? How did you arrive at the solution? Can we build AI algorithms that solve it in a similar way?
We developed a new dataset to investigate the iterative generation and refinement of perceptual hypotheses.🧵
openaccess.thecvf.com/conten…