Visual Neuroscience

36 items tagged

Neuronal Tuning Aligns Dynamically with Object- and Texture Manifolds across the Visual Hierarchy

Nature Neuroscience

Binxu Wang, Carlos R. Ponce

PDF Project Video 📝 BLOG Visual Neuroscience NeuroAI Generative Model

Structure as an inductive bias for brain–model alignment

Nature Machine Intelligence

Binxu Wang, Carlos R Ponce

PDF Perspective Visual Neuroscience Neuroscience Deep Learning NeuroAI

Feature accentuation along the encoding axes of IT neurons uncovers hidden differences in model-brain alignment

Journal of Vision

Jacob S Prince, Binxu Wang, Akshay v Jagadeesh, Thomas Fel, Emily Lo, George a Alvarez, Margaret S Livingstone, Talia Konkle

Cite Visual Neuroscience NeuroAI Neuron Modelling Digital Twins

Neural Dynamics of Object Manifold Alignment in the Ventral Stream

bioRxiv

Binxu Wang, Carlos R Ponce

PDF Cite Visual Neuroscience Geometry Generative Model Ventral Stream

Charting the Landscape of Ventral Stream Neural Code on Generative Image Manifolds

Binxu Wang

PDF Cite Video Thesis Visual Neuroscience Generative Model

On the Level Sets and Invariance of Neural Tuning Landscapes

NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations

Binxu Wang, Carlos R Ponce

PDF Cite Code Geometry NeuroAI Visual Neuroscience

Tuning landscapes of the ventral stream

Cell reports

Binxu Wang, Carlos R Ponce

PDF Cite Code Dataset Visual Neuroscience Geometry Generative Model Ventral Stream

High-performance Evolutionary Algorithms for Online Neuron Control

GECCO ‘22: Proceedings of the Genetic and Evolutionary Computation Conference (Best paper nomination)

⭐️ Best Paper Nomination

Binxu Wang, Carlos R Ponce

PDF Cite Code Video Visual Neuroscience Optimization Evolutionary Computing

Factorized convolution models for interpreting neuron-guided images synthesis

2022 Conference on Cognitive Computational Neuroscience

Binxu Wang, Carlos R. Ponce

Cite Visual Neuroscience NeuroAI Neuron Modelling Digital Twins

On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation

NeurIPS 2021 SVRHM Workshop

Binxu Wang, David Mayo, Arturo Deza, Andrei Barbu, Colin Conwell

PDF Cite Code NeuroAI Self-supervised learning Visual Neuroscience

What constitutes understanding of ventral pathway function?

Charles Connor, Gabriel Kreiman, Carlos R Ponce, Carl Craver, Margaret Livingstone, Martin Schrimpf, Binxu Wang

Cite Perspective Visual Neuroscience Ventral Stream

Visual prototypes in the ventral stream are attuned to complexity and gaze behavior

Nature Communications

Olivia Rose*, James Johnson*, Binxu Wang, Carlos R. Ponce

Cite Visual Neuroscience Ventral Stream

Jun 1, 2026

Houston Computational Neuroscience Journal Club

Invited talk at the Houston Computational Neuroscience Journal Club

Visual Neuroscience NeuroAI

Apr 3, 2026

University of Texas at Austin — Xuexin Wei Lab Meeting

Neuronal Tuning Landscape on Generative Image Manifolds

Visual Neuroscience NeuroAI

Mar 9, 2026

Flatiron Institute / CUNY — M.S. in Cognitive Science Special Seminar

From Closed-Loop Vision to Creative Machines: Generative Models as Tools and Theories of Neural Representation and Creativity

Visual Neuroscience NeuroAI

Mar 3, 2026

Harvard University — Neuro120 Introduction to Computational Neuroscience

Mechanistic Interpretability and Application to Visual Neuroscience

Visual Neuroscience Mechanistic Interpretability

Feb 16, 2026

University of Minnesota — Department of Neuroscience Special Seminar

From Closed-Loop Vision to Creative Machines: Generative Models as Tools and Theories of Neural Representation and Creativity

Visual Neuroscience NeuroAI

Feb 9, 2026

University of Cincinnati — Department of Biological Sciences Special Seminar

From Closed-Loop Vision to Creative Machines: Generative Models as Tools and Theories of Neural Representation and Creativity

Visual Neuroscience NeuroAI

Feb 5, 2026

Janelia Research Campus — Computation and Theory Group Leader Special Symposium

Model-free and Model-based Methods to Control and Interpret Neural Representation

Visual Neuroscience NeuroAI

Jan 15, 2026

University of Oregon, Knight Campus — Department of Bioengineering Special Symposium

Towards Generative and Predictive AI as Computational Interfaces to the Brain

Visual Neuroscience NeuroAI

Dec 1, 2025

University of Wisconsin–Madison — Department of Psychology Special Seminar

From Closed-Loop Vision to Creative Machines: Generative Models as Tools and Theories of Neural Representation and Creativity

Visual Neuroscience NeuroAI

Nov 20, 2025

Janelia Research Campus — Junior Scientist Workshop on Theoretical Neuroscience

Dissociation between Visual Neuron Prediction and Control: A Regression-Theoretic Perspective

Visual Neuroscience Diffusion

Nov 15, 2025

SfN 2025 Nanosymposium

Parametric neural control identifies the deep encoding models with causal alignment to biological feature tuning

SfN Visual Neuroscience

Oct 10, 2025

Cold Spring Harbor Laboratory — NeuroAI Seminar

Model-Optimized Stimuli for Comparing Brain-Alignment of Generative Models and Encoding Models

Visual Neuroscience NeuroAI

May 19, 2025

Talk at VSS2025 Session: Theory - Artificial neural networks

Factorized Convolutional Model for Interpreting Neuron Guided Image Synthesis

Visual Neuroscience VSS

May 16, 2025

Talk at VSS2025 Symposium Model-optimized stimuli: more than just pretty pictures

Feature Accentuated Stimuli as a Stringent Test of Model Brain Alignment

Visual Neuroscience VSS

Feb 18, 2025

Special Seminar at Washington University Neuroscience Department

Special seminar on neuro AI, visual neuroscience, interpretability and generative models

Neuroscience Seminar

Academic Note

Note on Cortical Waves

Notes on Cortical Waves Methods

academic note Neuroscience Vision Neural Dynamics Visual Neuroscience Cortex Waves

May 6, 2020

Academic Note

Note on Visual Imagery

Notes on Visual Imagery Definition: Recreate the sensory world in mind in absense of physical stimuli. Usage in daily cognition Closely related to memory. We solve some cognitive task by recreating the visual scene in mind and examine the mind picture! Some tasks are memory about spatial some are feature memory! Usage in creative work Provides another way of thinking, other than verbal and logical induction. Intuition Characteristics of Imagery Is the representation spatial or propositional?

academic note Neuroscience Vision Imagery Visual Neuroscience Consciousness

November 5, 2019

Academic Note

Note on ShapeCollage and Patch Based Shape Interpretation

Note on Patch Based Shape Interpretation These are 2 related papers both employ a patch based approach to tackle shape from shading problem. Typically patches have simpler appearance, thus they are easier to collect the statistics on or fit a model on. The spirit is to find a local explanation for patches in an image. However, as there will be ambiguity in local patches, the algorithm should not over-commiting to any one of the explanation and keep the distribution of possible shapes. And then take these local shape proposals and see which can stitch together and make sense globally.

academic note computer vision computer science machine learning visual neuroscience

November 2, 2019

Academic Note

Note on Fragment Based Object Recognition

Informative Fragment Approach to Object Recognition It’s intuitive that some basic features in the image of objects are informative to the category of the object. Thus, even for occluded images, the revealed fragments can also provide such information, so that we could recognize the object from few patches.

academic note Visual Neuroscience Computation Object Recognition Computer Vision

September 25, 2019

This Week's Learning

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 Visual Neuroscience Consciousness Cortex Sensory System Philosophy Concept Computation Sleep Dream Hallucination

July 24, 2019

This Week's Learning

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)

看得见还是看不见, 这是一个问题! 如果问你, 你现在看到了什么, 你可以不假思索地说, 就是眼前的屏幕嘛. 如果稍微受过一点生理学或者神经科学训练的人也许会说, 我们看到的是这个充满电磁波的世界里, 光学波段辐射被眼球的光学元件折射之后, 落在我们视网膜上的影像. 然而我们不总是能看见落到我们视网膜上的东西. 稍加反思, 我们都会想到自己夏日午后看着窗外出神的时候, 其实并没有看见窗外有什么景色；对着讲台发呆的时候也没有看到黑板上的字是什么；对着击球手飞速击出的棒球同样略过了视网膜, 但是否产生了知觉只有他知道. 简而言之, 就像英语中see（看到）与look（看的动作）不同, 我们看到的东西绝不是落在我们视网膜上的光子所携带的所有信息1——你看不见不可见光也看不到偏振. 那么是什么决定了我们能看到什么以及看到的世界是什么样子呢? 我们可以拍脑门的说, 当我们用心去看就能看到(比如黑板或者窗外), 如果不用心, 那刺激就被我忽视(Neglect)了嘛——的确没错, 这就将我们引导到了视觉注意(Visual Attention)的领地. 不过这篇post中我们先不讨论注意的问题, 而要去关注一些与视觉意识相关的更基本的情况. 什么时候我们看不到 (When we do not see) 首先, 我们将自然环境以及落在视网膜上的光子一概称为物理刺激(Physical stimuli), 我们感觉到的那个世界称为主观感受(Perception)2. 那么刺激与感受不完全匹配的情况其实比比皆是, 下面举几个例子：

This Week's Learning Visual Neuroscience Consciousness Cortex Sensory System Philosophy Concept Computation

July 2, 2019

This Week's Learning

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 Visual Neuroscience Consciousness Cortex Sensory System Philosophy Concept Computation

July 2, 2019

Academic Note

Note on Selective Attention

Note on Selective Attention From Christofer Koch 2013 Lecture Visual Attention and Consciousness Goldstein, Chapter Attention In nature language Attention refers to a family of abilities Vigilance / overall attention Selective attention: processing sth in the cost of others Distributed attention Automaticity (action / perception task that does not take capacity) Selective attention is different from general attention —- arousal.

academic note Visual Neuroscience Consciousness

June 24, 2019

This Week's Learning

This Week's Learning about Brain 0

题记一直计划着博士期间定期写一点note把自己最近学到的有趣的, 美妙的东西记下来. 如果读得是一个数学物理的博士, 或者理论神经科学的博士, 那这种Note就像是在数学世界中的探险笔记, 可以叫This week’s finding, 大约就是这周看了什么书, 学会了什么数学, 玩儿了什么Model, 发现了什么trick或者math game，做了什么优美的图. (可以参见之前挖出来好些有意思东西的一个站点 This Week’s Finds in Mathematical Physics UCR一个数学物理教授坚持了十多年的每周数学笔记) 不过现实中, 我读的是Neuroscience的博士, 大概只能写learning写不了什么finding了. (而对于Brain一周时间也学不了什么新东西…) 因此, Note的内容就会更庞杂: 一部分是技术性的, 新学会的数学、统计方法、机器学习方法, 也许会有新的实验技术以及相关的物理原理; 另一部分是理念类的，也许有最近听seminar听到的神经或者心理的实验结果，也可能是相关的有趣的哲学讨论。我想我会逐渐发现哪些内容更适合分享, 以及哪些内容写下来对自己以及对读者更有帮助, 经过一段时间的磨合，这个post series应该能形成自己的风格。

This Week's Learning Visual Neuroscience Connectomics Machine Learning Geometry

September 1, 2018

Visual Neuroscience

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