Computational Neuroscience: Publications
Read the latest papers published by our researchers.
Results
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Neural optimal feedback control with local learning rules
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Bridging the Gap: Point Clouds for Merging Neurons in Connectomics
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A Normative and Biologically Plausible Algorithm for Independent Component Analysis
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A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
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Adaptive Denoising via GainTuning
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A Neural Network with Local Learning Rules for Minor Subspace Analysis
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Mapping Spatial Frequency Preferences Across Human Primary Visual Cortex
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Small brains for big science
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Unsupervised Deep Video Denoising
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Primary visual cortex straightens natural video trajectories
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Opposing effects of selectivity and invariance in peripheral vision
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Pinpointing the neural signatures of single-exposure visual recognition memory
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VolPy: automated and scalable 2 analysis pipelines for voltage 3 imaging datasets
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Automated and scalable analysis pipelines for voltage imaging datasets
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Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems
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A biologically plausible neural network for multi-channel Canonical Correlation Analysis
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Sensitivity analysis for the stationary distribution of reflected Brownian motion in a convex polyhedral cone.
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Impression learning: Online predictive coding with synaptic plasticity
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Online analysis of microendoscopic 1-photon calcium imaging data streams
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CaImAn an open source tool for scalable calcium imaging data analysis
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Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser
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Interpretable Image Clustering via Diffeomorphism-Aware K-Means
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A biologically plausible neural network for local supervision in cortical microcircuits
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Biologically plausible single-layer networks for nonnegative independent component analysis
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A biologically plausible neural network for Slow Feature Analysis
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A simple normative network approximates local non-Hebbian learning in the cortex
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Learning arbitrary stimulus-reward associations for naturalistic stimuli involves transition from learning about features to learning about objects
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Efficient coding of natural scene statistics predicts discrimination thresholds for grayscale textures
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Neurons as Canonical Correlation Analyzers
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Customer-server population dynamics in heavy traffic
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Neuronal Gaussian Process Regression
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Neuroscience-Inspired Online Unsupervised Learning Algorithms: Artificial Neural Networks
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Bright and photostable chemigenetic indicator for extended in vivo voltage imaging
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Clustering is semi-definitely not that hard: Nonnegative SDP for manifold disentangling
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Biologically Plausible Online Principal Component Analysis Without Recurrent Neural Dynamics
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Flexibility in motor timing constrains the topology and dynamics of pattern generator circuits
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Holography, Fractals and the Weyl Anomaly
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Why Do Similarity Matching Objectives Lead to Hebbian/Anti-Hebbian Networks?
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A clustering neural network model of insect olfaction
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NoRMCorre: An online algorithm for piecewise rigid motion correction of calcium imaging data
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Blind Nonnegative Source Separation Using Biological Neural Networks
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OnACID: Online Analysis of Calcium Imaging Data in Real Time, Advances
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Automated gesture tracking in head-fixed mice
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The surprising secret identity of the semidefinite relaxation of K-means: manifold learning
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Resource-efficient perceptron has sparse synaptic weight distribution
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The comprehensive connectome of a neural substrate for ‘ON’ motion detection in Drosophila
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The comprehensive connectome of a neural substrate for ‘ON’ motion detection in Drosophila
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Why do similarity matching objectives lead to Hebbian/anti-Hebbian networks?