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Modeling spatial contrast sensitivity in responses of primate retinal ganglion cells to natural movies
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OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
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PriMAT: Robust multi-animal tracking of primates in the wild
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PriVi: Towards a General-Purpose Video Model for Primate Behavior in the Wild
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Spatial adaptation of primate retinal ganglion cells between artificial and natural stimuli
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A Circular Argument: Does RoPE need to be Equivariant for Vision?
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nature.com
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An unsupervised map of excitatory neurons' dendritic morphology in the mouse visual cortex
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Computer vision for primate behavior analysis in the wild
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Domain-Adaptive Pretraining Improves Primate Behavior Recognition
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FLASHµ: Fast Localizing And Sizing of Holographic Microparticles
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Foraging competence and its impact on social relationships in a socially tolerant wild primate
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Minimizing Structural Vibrations via Guided Flow Matching Design Optimization
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Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
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What should a neuron aim for? Designing local objective functions based on information theory
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A chromatic feature detector in the retina signals visual context changes
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Convolutional neural network models of the primate retina reveal adaptation to natural stimulus statistics
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Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks
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Learning to Predict Structural Vibrations
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LLMs and Memorization: On Quality and Specificity of Copyright Compliance
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Massively Multi-Person 3D Human Motion Forecasting with Scene Context
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Minimizing Structural Vibrations via Guided Diffusion Design Optimization
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MNIST-Nd: a set of naturalistic datasets to benchmark clustering across dimensions
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Modeling dynamic neural activity by combining naturalistic video stimuli and stimulus-independent latent factors
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Modeling spatial contrast sensitivity in responses of primate retinal ganglion cells to natural movies
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openreview.net
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Most discriminative stimuli for functional cell type clustering
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Probabilistic neural transfer function estimation with Bayesian system identification
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Reproducibility of predictive networks for mouse visual cortex
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Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
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Tailor-Designed Models for the Turbulent Velocity Gradient through Normalizing Flow
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Bayesian Neural System Identification with Response Variability
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Bipartite invariance in mouse primary visual cortex
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Data Augmentation for Mask-Based Leaf Segmentation of UAV-Images as a Basis to Extract Leaf-Based Phenotyping Parameters
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Deep learning for frequency response prediction of a multimass oscillator
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github.com
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Deep learning-driven characterization of single cell tuning in primate visual area V4 unveils topological organization
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Self-Supervised Graph Representation Learning for Neuronal Morphologies
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The Dynamic Sensorium competition for predicting large-scale mouse visual cortex activity from videos
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The Impacts of Quality-Oriented Dataset Labeling on Tree Cover Segmentation Using U-Net: A Case Study in WorldView-3 Imagery
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A chromatic feature detector in the retina signals visual context changes
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nature.com
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Context-dependent selectivity to natural images in the retina
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biorxiv.org
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Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks
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Image Segmentation Using Text and Image Prompts
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github.com
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The Sensorium competition on predicting large-scale mouse primary visual cortex activity
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Benchmarking Unsupervised Object Representations for Video Sequences
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Generalization in data-driven models of primary visual cortex
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Learning divisive normalization in primary visual cortex
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Self-supervised Representation Learning of Neuronal Morphologies
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Sparse reduced-rank regression for exploratory visualisation of paired multivariate data
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Assessing out-of-domain generalization for robust building damage detection
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github.com
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Closing the generalization gap in one-shot object detection
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CNNs efficiently learn long-range dependencies
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arxiv.org
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Optimizing Rank-based Metrics with Blackbox Differentiation
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Rotation-invariant clustering of functional cell types in primary visual cortex
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The temporal structure of the inner retina at a single glance
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A rotation-equivariant convolutional neural network model of primary visual cortex
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Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
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Deep convolutional models improve predictions of macaque V1 responses to natural images
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Distributional Semantics of Objects in Visual Scenes in Comparison to Text
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How well do deep neural networks trained on object recognition characterize the mouse visual system?
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ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
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nature.com
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Inception loops discover what excites neurons most using deep predictive models
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nature.com
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Attentional fluctuations induce shared variability in macaque primary visual cortex
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Diverse feature visualizations reveal invariances in early layers of deep neural networks
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physiology.org
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Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion
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