Publications
Publications out of the Chklovskii Lab
2024
2023
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Normative and mechanistic model of an adaptive circuit for efficient encoding and feature extractionProceedings of the National Academy of Science 2023
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A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartmentPLOS Computational Biology 2023
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A complete reconstruction of the early visual system of an adult insectCurrent Biology 2023
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Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian LearningarXiv preprint arXiv:2309.16687 2023
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Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-trainingarXiv preprint arXiv:2309.16687 2023
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An Online Algorithm for Contrastive Principal Component AnalysisIn ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023
2022
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Biologically plausible single-layer networks for nonnegative independent component analysisBiological Cybernetics 2022
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Neural Circuits for Dynamics-Based Segmentation of Time SeriesNeural Computation 2022
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Biological Learning of Irreducible Representations of Commuting TransformationsIn Advances in Neural Information Processing Systems 2022
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Constrained Predictive Coding as a Biologically Plausible Model of the Cortical HierarchyIn Advances in Neural Information Processing Systems 2022
2021
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A Biologically Plausible Neural Network for Multichannel Canonical Correlation AnalysisNeural Computation 2021
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Neural optimal feedback control with local learning rulesIn Advances in Neural Information Processing Systems 2021
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VolPy: Automated and scalable analysis pipelines for voltage imaging datasetsPLoS Computational Biology 2021
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Online analysis of microendoscopic 1-photon calcium imaging data streamsPLoS Computational Biology 2021
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Neural circuits for dynamics-based segmentation of time seriesNeural Computation 2021
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A Normative and Biologically Plausible Algorithm for Independent Component AnalysisIn Advances in Neural Information Processing Systems 2021
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2020
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Neuronal Gaussian Process RegressionIn Advances in Neural Information Processing Systems 2020
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A simple normative network approximates local non-Hebbian learning in the cortexAdvances in Neural Information Processing Systems 2020
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A biologically plausible neural network for slow feature analysisAdvances in Neural Information Processing Systems 2020
2019
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Neuroscience-Inspired Online Unsupervised Learning Algorithms: Artificial Neural NetworksIEEE Signal Processing Magazine 2019
2018
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Why Do Similarity Matching Objectives Lead to Hebbian/Anti-Hebbian Networks?Neural Computation 2018
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