Want to investigate the computational implications of spatiotemporal brain dynamics? See our model/poster [2-030] tonight at #cosyne2023 ! We (+Max Welling) show how locally coupled oscillators learn topographic organization and traveling waves in the service of sequence modeling!
Presenting poster II-122 @ #cosyne2023 today!
First model of hippocampal-entorhinal cortex that encapsulates key findings of entorhinal map plasticity: grid map fragmentation, interpolation at short timescales (local consistency), map merger at long timescales (global consistency)
Well, despite a strike in Paris, my incredible collaborator Manuel Molano Mazón made it to Montreal #cosyne2023 🥳. We have been working on some fancy-sounding suboptimal behaviour and reset strategy in context-dependent decision-making tasks 👉x.com/molano_mazon/s…
#cosyne2023
In today’s poster session I’m presenting my work on how visual uncertainty differentially shapes preparatory neural dynamics in motor cortices. Would love to hear your thoughts and feedback! (poster 2-054)
Frontal neurons fire for particular task states, but seem to remap between tasks. Turns out this remapping reveals a surprising algorithm for abstraction and sequence learning. I’ll discuss this across 2 workshop talks at #cosyne2023 . Come along if you're interested! ... (1/3)
Wanna learn a NEW matrix factorization & its relation to neural gain control + adaptive efficient coding? See our #cosyne2023 Poster I-083 & Interneurons Workshop Talk about our new paper arxiv.org/abs/2301.11955, a collab w/ David Lipshutz David Heeger Dmitri "Mitya" @eerosimoncelli
Come see me talk (w/ what remains of my voice) w/ Alex Williams Alex Williams #cosyne2023 Poster 2-007 tonight (@Jingyang_zhou unfortunately couldn't attend) about our new paper arxiv.org/abs/2211.11665 about Optimal Transport for comparing NOISY network representational geometry!
Excited to be here in Montreal at #cosyne2023 ! If you're interested in motor/BCI learning, come check out my poster tonight at 2-118 'Sequential learning in RNNs create memory traces of learned tasks'. Inspired by Losey et al 2022, we model their BCI setup in RNNs!
Dear Cosyne Community,
Last week, An Wu, a postdoc in the Komiyama lab at UCSD
who presented at this year’s meeting, has been reported missing. Our current information is that after Cosyne, she stayed at a building that burnt down in fire in Old Montreal.
#cosyne2023 1/2
I am at #cosyne2023 this week, presenting work with Cengiz Pehlevan about a dynamical field theory to analyze representation learning in deep NNs trained with a variety of learning rules. Come by poster II-091 on Friday evening if you are interested!
Come hear me talk about matrix decompositions, adaptive efficient coding, & gain control tonight at #cosyne2023 Poster 1-083! world-wide.org/cosyne-23/adap… David Lipshutz Dmitri "Mitya" Eero Simoncelli
Please check out our labs first 3 posters at #cosyne2023 tonight and tomorrow. Would also love to connect with anyone interested in systems and computational neuroscience of anxiety, neuromodulators or psychedelics ! Aakash Basu Stephanie Staszko
Take a break from dancing and stop by my poster at the Saturday poster session at #cosyne2023 . I'm presenting my recent work in Chethan Pandarinath's lab investigating methods to improve the interpretability of latent dynamics models!
In summary: When in doubt, go with the Flow!
All set for tonight's poster session #cosyne2023 ! Come by if you're interested in neural heterogeneity, Low-dimensional dynamics in neural networks, and spiking network models that can be directly informed by single cell recordings, but are still mathematically treatable!
At #cosyne2023 ? Stop by poster #42 tonight to chat about model metamers and how they relate to other metrics of brain-model comparison! Josh McDermott
Virtual poster: world-wide.org/cosyne-23/mode…
And (recently updated) preprint: biorxiv.org/content/10.110…
If you’re attending #cosyne2023 CosyneMeeting, check out Hamza Tahir Chaudhry’s poster 2-119 on Friday night! Hamza, Dmitry Krotov, Cengiz Pehlevan, and I show how modern Hopfield networks with asymmetric Hebbian learning rules can be used to store large sequences of patterns.
at #cosyne2023 ? come and visit my poster #058 tonight to chat about alignment of ANN language models with humans after a developmentally realistic amount of training; Joint work with : Martin Schrimpf , Yian Zhang,Sam Bowman, Noga Zaslavsky , and Ev (like in 'evidence', not Eve) Fedorenko 🇺🇦
Thrilled to be attending #cosyne2023 ! With Blake Bordelon ☕️🧪👨💻 and Cengiz Pehlevan we've demonstrated that fluctuations of kernels (AKA similarity matrices) in finite size NNs can limit the performance of bio-plausible learning rules. Swing by poster 2-082 on Friday night to hear more!