JJ Aucouturier @jj@qoto.org

Let me introduce myself! My name is Ilenna Jones, I am a computational neuroscientist with keen interest on how dendrites contribute to a singular neuron's ability to compute functions and learn tasks. I build biophysical models of neurons in #pytorch and use #deeplearning principles to investigate how #neuron models can learn and compute given their biologically realistic constraints.

I'm looking for postdocs right now! Feel free to connect if you're looking for someone like me!

I'm very interested in helping other students find resources and guidance as they consider science and #neuroscience in general. Feel free to connect if you're looking for advice/perspectives!

#computationalneuroscience #theoreticalneuroscience #neuroscience #neuralcomputation #learning #modeling #BlackInNeuro #FirstGen #Questbridge

ilenna.com

So excited about @PessoaBrain's new book "The Entangled Brain," I preordered. 🔥 Luiz is saying the quiet parts out loud 🔥

"Bigger and shinier tools and techniques alone won't yield the necessary progress; we run the risk of being able to measure every cell (or subcellular component even) in the brain in a theoretical vacuum."

"The current obsession in the field with causation is equally problematic. With out conceptual clarity ... "causal" explanations in fact might miss the point."

My #introduction is overdue. I’m a professor at Penn who studies memory using systems and computational approaches. I’m also writing a book: When it comes to understanding the brain, what are we trying to achieve? What’s our plan to get there? What challenges do we face? #neuroscience #author

Writing has deepened my appreciation for community-based progress. I’m excited to be on this inclusive platform where we can leverage collective intelligence, and work through conceptual blocks together.

#introduction I am a professor at Penn and also co-director of the CIFAR Learning in Machines and Brains program. I like to think about neuroscience, AI, and science in general. Neuromatch. Recently, much of my thinking is about Rigor in science and I just started leading a large NIH funded initiative community for rigor (C4R) that aims at teaching scientific rigor.

My interests are broad: Causality, ANNs, Logic of Neuroscience, Neurotech, Data analysis, AI, community, science of science

Hmm. I am usually the last to join a new technology/trend (refused cell phones for years, didn't want to upgrade from windows 3.11 to 95 😃 and kept Keynote9 for way too long). So moving to mastodon so early makes me nervous.

Consider this my @introduction. I am tentatively here :).

Computational neuroscientist by training (RL FTW), now comp psychiatry & psychotherapy (human behavior & individual diff FTW), and on sabbatical learning & practicing CBT! Lab @ Princeton full of wonderful people.

If you are interested in research software, you should read:

Ten simple rules for funding scientific open source software
Strasser C, Hertweck K, Greenberg J, Taraborelli D, Vu E (2022) Ten simple rules for funding scientific open source software. PLOS Computational Biology 18(11): e1010627. https://doi.org/10.1371/journal.pcbi.1010627

Shout out to everyone working quietly behind the scenes to make great things, support others, and keep the world running

I've been using #AnnotatedEquations in my recent papers. I think it really adds to the readability and understanding of the math.

Here are some examples. It uses #tikz in #latex.

Let me know if you like it. Happy for any feedback.

The first 2 sessions of the workshop "The Statistics Wars
and Their Casualties" was absolute fire. You can register for meetings 3 and 4 now (it's free): https://phil-stat-wars.com/ The program is truly exciting. I look forward to the sections 'Where Should Stat Activists Go From Here'. Join!