Publications

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PUBLICATION YEAR

2024

A correspondence between Hebbian unlearning and steady states generated by nonequilibrium dynamics. Behera AK, Du M, Jagadisan U, Sastry S, Rao M, Vaikuntanathan S. [Preprint] arXiv; 2024. (PDF) https://doi.org/10.48550/arXiv.2410.06269

Epistatic pathways in evolvable mechanical networks. Alqatari S, Nagel S. [Preprint] arXiv; 2024. (PDF)

Interpreting Neural Operators: How Nonlinear Waves Propagate in Nonreciprocal Solids. Colen J, Poncet A, Bartolo D, Vitelli V. Phys Rev Lett. 133(10): 107301. 2024. (PDF) https://doi.org/10.1103/PhysRevLett.133.107301

Between-area communication through the lens of within-area neuronal dynamics. Gozel O, Doiron B. Science Advances. 10(42): eadl6120. 2024. (PDF) https://doi.org/10.1126/sciadv.adl6120

Stimulus invariant aspects of the retinal code drive discriminability of natural scenes. Hoshal BD, Holmes CM, Bojanek K, Salisbury J, Berry MJ, Marre O, Palmer SE. [Preprint] bioRxiv; 2024. (PDF) https://doi.org/10.1101/2023.08.08.552526

The mechanics of correlated variability in segregated cortical excitatory subnetworks. Negrón A, Getz MP, Handy G, Doiron B. Proceedings of the National Academy of Sciences. 121(28): e2306800121. 2024. (PDF) https://doi.org/10.1073/pnas.2306800121

A dynamic scale-mixture model of motion in natural scenes. Salisbury JM, Palmer SE. [Preprint] bioRxiv; 2024. (PDF) https://doi.org/10.1101/2023.10.19.563101

Quantifying stimulus-relevant representational drift using cross-modality contrastive learning. Wang S, de Laittre EA, MacLean J, Palmer SE. [Preprint] arXiv; 2024. (PDF)

Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method. Wang S, Palmer SE. [Preprint] arXiv; 2024. (PDF)

Functional regimes define the response of the soil microbiome to environmental change. Lee KK, Liu S, Crocker K, Huggins DR, Tikhonov M, Mani M, Kuehn S. [Preprint] bioRxiv; 2024. (PDF) https://doi.org/10.1101/2024.03.15.584851

Odd Viscosity Suppresses Intermittency in Direct Turbulent Cascades. Chen S, De Wit XM, Fruchart M, Toschi F, Vitelli V. Phys Rev Lett. 133(14): 144002. 2024. (PDF) https://doi.org/10.1103/PhysRevLett.133.144002

Perceptual Resolution of Ambiguity: Can Tuned, Divisive Normalization Account for both Interocular Similarity Grouping and Difference Enhancement. Peiso JR, Palmer SE, Shevell SK. [Preprint]. 2024. (PDF) https://doi.org/10.1101/2024.04.01.587646

Pattern formation by turbulent cascades. de Wit XM, Fruchart M, Khain T, Toschi F, Vitelli V. Nature. 627(8004): 515–21. 2024. (PDF) https://doi.org/10.1038/s41586-024-07074-z

Odd elasticity and topological waves in active surfaces. Fossati M, Scheibner C, Fruchart M, Vitelli V. Phys Rev E. 109(2): 024608. 2024. (PDF) https://doi.org/10.1103/PhysRevE.109.024608

Sociohydrodynamics: data-driven modelling of social behavior. Seara DS, Colen J, Fruchart M, Avni Y, Martin D, Vitelli V. [Preprint] arXiv; 2024. (PDF)

Spiking at the edge: Excitability at interfaces in reaction–diffusion systems. Scheibner C, Ori H, Cohen AE, Vitelli V. Proceedings of the National Academy of Sciences. 121(3): e2307996120. 2024. (PDF) https://doi.org/10.1073/pnas.2307996120

Dynamic coexistence driven by physiological transitions in microbial communities. Narla AV, Hwa T, Murugan A. [Preprint] arXiv; 2024. (PDF)

Machine learning interpretable models of cell mechanics from protein images. Schmitt MS, Colen J, Sala S, Devany J, Seetharaman S, Caillier A, Gardel ML, Oakes PW, Vitelli V. Cell. 187(2): 481-494.e24. 2024. (PDF) https://doi.org/10.1016/j.cell.2023.11.041

2023

Contrastive learning through non-equilibrium memory. Falk M, Strupp A, Scellier B, Murugan A. [Preprint] arXiv; 2023. (PDF)

Closed ecosystems extract energy through self-organized nutrient cycles. Goyal A, Flamholz AI, Petroff AP, Murugan A. Proceedings of the National Academy of Sciences. 120(52): e2309387120. 2023. (PDF) https://doi.org/10.1073/pnas.2309387120

Learning a conserved mechanism for early neuroectoderm morphogenesis. Lefebvre M, Colen J, Claussen N, Brauns F, Raich M, Mitchell N, Fruchart M, Vitelli V, Streichan SJ. [Preprint] bioRxiv; 2023. (PDF) https://doi.org/10.1101/2023.12.22.573058

Statistical prediction of microbial metabolic traits from genomes. Li Z, Selim A, Kuehn S. PLOS Computational Biology. 19(12): e1011705. 2023. (PDF) https://doi.org/10.1371/journal.pcbi.1011705

Global patterns in gene content of soil microbiomes emerge from microbial interactions. Crocker K, Lee KK, Chakraverti-Wuerthwein M, Li Z, Tikhonov M, Mani M, Gowda K, Kuehn S. [Preprint] bioRxiv; 2023. (PDF) https://doi.org/10.1101/2023.05.31.542950

Elucidating the Role of Filament Turnover in Cortical Flow using Simulations and Representation Learning. Qiu Y, White ED, Munro EM, Vaikuntanathan S, Dinner AR. [Preprint] arXiv; 2023. (PDF)

Kinematics and coordination of moth flies walking on smooth and rough surfaces. Brandt EE, Manyama MR, Nirody JA. Annals of the New York Academy of Sciences. n/a(n/a). (PDF) https://doi.org/10.1111/nyas.15176

 

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