@mslapik Profile picture

Mitchell B. Slapik

@mslapik

MD/PhD Candidate 🥼 @McGovernMed | F30/TL1 Fellow 🏥 @NIH | Computational Neuroscience 🧠 @DragoiLab | Jazz Sax 🎷 @TheChirpChirps

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I have created a website for my visuals of dynamical motifs! These provide a nice introduction to dynamical systems in the context of neuroscience. Also thank you to Dr. Paul Miller for giving me permission to animate his figures. mitchellslapik.github.io/dynamical_moti…


Mitchell B. Slapik Reposted

Oldies but goldies: Mark Kac, Can you hear the shape of a drum? 1966. Non-isometric shapes can have the same Laplacian eigenvalues (spectrum). Displaying here some Laplacian eigenvectors. en.wikipedia.org/wiki/Hearing_t…


Mitchell B. Slapik Reposted

Just published in @Nature! Research by @GoogleDeepMind including Nobel Laureate @demishassabis introduces a novel technique for reliably identifying LLM-generated content. At its core, this approach subtly alters the next-token sampling process to introduce minor adjustments…

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Mitchell B. Slapik Reposted

#ICYMI: the #KempnerInstitute's YouTube channel is now live and includes recordings from our Seminar Series with talks from @scott_linderman, @MarkChurchland, @neuro_kim, @cocosci_lab, @AlisonGopnik, and @briandepasquale Watch them here: youtube.com/@kempnerinstit

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Mitchell B. Slapik Reposted

Graph of the first nine harmonics and an x-ray of a conch shell's inner structure

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Mitchell B. Slapik Reposted

Oldies but goldies: S. Wolfram, Statistical mechanics of cellular automata, 1983. Studies cellular automata and the chaotic behavior of certain rules such as rule 30. en.wikipedia.org/wiki/Cellular_…


Mitchell B. Slapik Reposted

Come check out our research this year at #SfN2024 in Chicago!

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Mitchell B. Slapik Reposted

This year’s #NobelPrize laureate in physics John Hopfield created an associative memory that can store and reconstruct images and other types of patterns in data. The Hopfield network can store patterns and has a method for recreating them. When the network is given an…

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Mitchell B. Slapik Reposted

The 2024 #NobelPrize laureates in chemistry Demis Hassabis and John Jumper have successfully utilised artificial intelligence to predict the structure of almost all known proteins. In 2020, Hassabis and Jumper presented an AI model called AlphaFold2. With its help, they have…

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Mitchell B. Slapik Reposted

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

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Mitchell B. Slapik Reposted

Did you know that an artificial neural network is designed to mimic the brain? Inspired by biological neurons in the brain, artificial neural networks are large collections of “neurons”, or nodes, connected by “synapses”, or weighted couplings, which are trained to perform…

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Mitchell B. Slapik Reposted

Low-frequency Fourier approximation of a signal and an image generates ringing phenomena. en.wikipedia.org/wiki/Gibbs_phe… nbviewer.jupyter.org/github/gpeyre/…


Mitchell B. Slapik Reposted

Congratulations to our graduate students who presented at the Neuroscience Fall Symposium! @NeuroMDAUTH @MDA_UTHGrad

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Mitchell B. Slapik Reposted

🌟Announcing NeurIPS spotlight paper on the transition from lazy to rich🔦 We reveal through exact gradient flow dynamics how unbalanced initializations promote rapid feature learning co-led @AllanRaventos and @ClementineDomi6 @FCHEN_AI @klindt_david @SaxeLab @SuryaGanguli


Mitchell B. Slapik Reposted

Biggest joy and honour leading this project at the intersection of visual neuroscience and ML to a successful finish! Paper: nature.com/articles/s4158…


Mitchell B. Slapik Reposted

One of those pioneering papers in this area (what came to be known as "Spatial Ecology") is this beautiful @Nature paper by Allen, Schaffer and Rosko nature.com/articles/36422…

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