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Modeling Population Spike Trains with Specified Time-Varying Spike Rates, Trial-to-Trial Variability, and Pairwise Signal and Noise Correlations., , и . Frontiers Comput. Neurosci., (2010)sbi: A toolkit for simulation-based inference., , , , , , , и . J. Open Source Softw., 5 (52): 2505 (2020)Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations., , и . NIPS, стр. 5702-5712. (2017)Truncated proposals for scalable and hassle-free simulation-based inference., , и . NeurIPS, (2022)GATSBI: Generative Adversarial Training for Simulation-Based Inference., , , , , , и . ICLR, OpenReview.net, (2022)Group equivariant neural posterior estimation., , , , , и . ICLR, OpenReview.net, (2022)All-in-one simulation-based inference., , , , и . CoRR, (2024)Intrinsic dimension of data representations in deep neural networks., , , и . NeurIPS, стр. 6109-6119. (2019)Empirical models of spiking in neural populations., , , , , и . NIPS, стр. 1350-1358. (2011)Variational methods for simulation-based inference., , и . ICLR, OpenReview.net, (2022)