Binxu
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  • Recent & Upcoming Talks
    • SfN 2025 Nanosymposium
    • Poster at NEMI 2025 Workshop on Circuit underlying relational object generation in DiT
    • IAIFI Summer Workshop Talk
    • Talk at VSS2025 Session: Theory - Artificial neural networks
    • Talk at VSS2025 Symposium Model-optimized stimuli: more than just pretty pictures
    • Spring into Science Retreat Talk
    • Special Seminar at Washington University Neuroscience Department
    • Yale Cognitive & Neural Computation Lab Talk
    • SfN 2024 Nanosymposium
    • NAISYS2024 Conference Talk
    • KITP Deep Learning Program
    • SfN 2023 Nanosymposium
    • PhD Thesis Defense
    • Kempner Institute Invited Lecture
  • Publications
    • Feature accentuation along the encoding axes of IT neurons uncovers hidden differences in model-brain alignment
    • An analytical theory of power law spectral bias in the learning dynamics of diffusion models
    • Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
    • The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications
    • Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules
    • Do diffusion models generalize on abstract rules for reasoning?
    • Neural Dynamics of Object Manifold Alignment in the Ventral Stream
    • The hidden linear structure in score-based models and its application
    • Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale
    • Charting the Landscape of Ventral Stream Neural Code on Generative Image Manifolds
    • Diffusion models generate images like painters: an analytical theory of outline first, details later
    • On the Level Sets and Invariance of Neural Tuning Landscapes
    • Tuning landscapes of the ventral stream
    • High-performance Evolutionary Algorithms for Online Neuron Control
    • Factorized convolution models for interpreting neuron-guided images synthesis
    • On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation
    • The Geometry of Deep Generative Image Models and its Applications
    • Visual prototypes in the ventral stream are attuned to complexity and gaze behavior
    • What constitutes understanding of ventral pathway function?
    • A mechanism for synaptic copy between neural circuits
    • Mutual information and information gating in synfire chains
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    • Neuro140/240 - Biological and Artificial Intelligence
    • Neuro 120 - Introduction to Computational Neuroscience
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    • Note on Variants of Diffusion Scheduler, DDPM DDIM PNDM
    • Note on Hippo- Recurrent Memory with Optimal Polynomial Projection
    • Note on S4-Efficiently Modeling Long Sequences with Structured State Spaces
    • Note on Equivalent Score Matching Objective
    • Note on EM algorithm and likelihood lower bound
    • Note on Diffusion Generative Models
    • Probabilistic Models of Neural Population
    • Some Famous Matrix Determinant and Inversion Identities
    • Note on Kernel PCA
    • Analytical Techniques for Finding Spectrum of Tridiagonal Toeplitz Matrix
    • PCA of High Dimensional Trajectory
    • Note on Kernel Ridge Regression
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    • Note on Lyapnov Stability Theory
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    • 2021-02-16-Alignment-of-Objective-in-Evolution
    • Note on Classic CNNs
    • A Model of Persistency
    • Note on Word2Vec
    • Note on Non-Parametric Regression
    • Note on Neural Tuning and Information
    • Note on Variational Inference (Updating)
    • Note on Bayesian Optimization
    • Note on Gaussian Process
    • Brief Note on Online Correlation Computation
    • Note on MinMax Game
    • Note on Laplacian Operator (Diffusion) in Geometry Processing
    • Note on Cortical Waves
    • Spectral Graph Theory and Segmentation
    • Computations on Hyperbolic Geometry
    • Note on Deep Reinforcement Learning
    • Note on Photometric Reasoning
    • Note on Generative Adversarial Network
    • Note on Computational Photography
    • Note on Hardware Based Computational Photography
    • Note on Epipolar Geometry and Optic Slow
    • Note on Semantic Vision Task
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    • Note on Image Prior-Markov Random Field Modelling
    • Note on Hessian Aware Zeroth Order Optimization Framework
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    • 人间失格 读书札记
    • Understanding of Adversarial Attack
    • Krylov Subspace, Conjugate Gradient and Lancosz Iteration
    • Comparison of Major Deep Learning Frameworks (Updating)
    • Note on Online Linear Regression Algorithm
    • LBFGS Algorithm
    • Note on Visual Imagery
    • Note on Local Feature Descriptors
    • Note on ShapeCollage and Patch Based Shape Interpretation
    • Note on Categorization and Concepts
    • Some Computation on Sphere
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    • Note on Feature Visualization (Updating)
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    • 真理的不同层级 (Updated)
    • 2019 台湾纪行
    • 进击的巨人(Attack on Titan) 观剧手记
    • Note on Network Commnunication
    • This Week's Learning about Brain 5 幻觉与笛卡尔的幽灵 Hallucination and Descartes' Demon (II)
    • This Week's Learning about Brain 4 看得见还是看不见, 这是一个问题——视觉意识的神经相关物 (To see or not to see, that's a question)
    • This Week's Learning about Brain 4 看得见还是看不见, 这是一个问题——视觉意识的神经相关物 (To see or not to see, that's a question)
    • Note on Algorithm for Non-Negative Matrix Factorization
    • Note on Computation by Synaptic Plasticity
    • Note on Selective Attention
    • Constrained CMA-ES Algorithm
    • Note on Belief Propagation Algorithm (Updating)
    • This Week's Learning about Brain 3 Hard Wired Olfactory Responce
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    • Derivative Free Optimization Method (Based Feature Visulization) Notes 1
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  • Technical notes
    • Julia for Matlab and Python Users (Updating)
    • JavaScript + HTML Programming 101 (Updating)
    • MTurk 101
    • Scene Programming in MonkeyLogic2
    • Compiling C Extensions for PyTorch
    • Debugging StyleGAN2 in PyTorch
    • Publishing and Using Pretrained model through `Torch.hub`
    • GUI programming in Matlab
    • Hybrid Programming Matlab and Python
    • Importing Geometry from Google Map to Blender
    • Learning CMD / Shell Scripting in Windows
    • Show Animation in PDF Through Latex
    • Transporting Data Between Matlab, Python
    • Procedurally Generating Slides from Script
    • Handling and Printing Parameters in matlab
    • Note on Matlab and Python (matplotlib) Plotting system
    • Windows Working Environment Build Up (Updating)
    • Note on Pandas
    • Autograd Mechanism and Hessian Computation in PyTorch
    • Dynamic Visualization in Python
    • Computer Graphics Environment in Matlab
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    • How to Parse Anatomical/Physiological Terms in Latin/Greek
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    • How to translate matlab code into python (numpy)
    • Math Intensive Github Blog Construction
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Visual prototypes in the ventral stream are attuned to complexity and gaze behavior

Jan 1, 2021·
Olivia Rose*
,
James Johnson*
Binxu Wang
Binxu Wang
,
Carlos R. Ponce
· 0 min read
Cite
Type
Journal article
Publication
Nature Communications
Last updated on Jan 1, 2021
Visual Neuroscience Ventral Stream
Binxu Wang
Authors
Binxu Wang
Research Fellow
← The Geometry of Deep Generative Image Models and its Applications Jan 1, 2021
What constitutes understanding of ventral pathway function? Jan 1, 2021 →

© 2025 Me. This work is licensed under CC BY NC ND 4.0

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