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Photo of Miguel Eckstein

Miguel Eckstein

Professor
Psychological & Brain Sciences
UC Santa Barbara
Phone:
+1 805-893-2255
Email:
miguel.eckstein@psych.ucsb.edu
Website:
Website

Research Focus Areas

Research Interests

How does attention change the way in which our brain processes visual information? What processes mediate human learning in perceptual tasks? How does our brain decide where to direct our eyes when we search for an object in a visual scene? Do the neural mechanisms mediating eye movements and perceptual decisions process visual information in similar manners? I typically study these questions by comparing human performance to that of the optimal Bayesian observer (typically implemented on a computer). I also study the visual, cognitive and decision processes by which doctors detect and classify abnormalities in medical images and use computer models to improve the way in which we display medical images so that doctors can do fewer errors in clinical diagnosis.

News

Displaying 1 - 20 of 42

ICB Supported Publications

From Text to Pixel: Advancing Long-Context Understanding in MLLMs

Lu, Y., Li, X., Fu, T. J., Eckstein, M., & Wang, W. Y.
arXiv,
10.48550/arXiv.2405.14213

From Text to Pixel: Advancing Long-Context Understanding in MLLMs

Lu, Y., Li, X., Fu, T. J., Eckstein, M., & Wang, W. Y.
arXiv,
10.48550/arXiv.2405.14213

Emergent human-like covert attention in feedforward convolutional neural networks

Srivastava, S., Wang, W. Y., & Eckstein, M. P.
Current Biology,
10.1016/j.cub.2023.12.058

Widespread frontoparietal fMRI activity is greatly affected by changes in criterion placement, not discriminability, during recognition memory and visual detection tests

Layher, E., Santander, T., Chakravarthula, P., Marinsek, N., Turner, B. 0., Eckstein, M. P., & Miller, M. B.
Neurolmage,
10.1016/j.neuroimage.2023.120307

A 2D synthesized image improves the 3D search for foveated visual systems

Devi S. Klein, Miguel A. Lago, Craig K. Abbey, and Miguel P. Eckstein
IEEE Transactions on Medical Imaging,
10.1109/tmi.2023.3246005

Neuro-Symbolic Procedural Planning with Commonsense Prompting

Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel Eckstein, William Yang Wang
arXiv. Proceedings of Eleventh International Conference on Learning Representations (ICLR),
10.48550/arXiv.2206.02928

Diagnosing Vision-and-Language Navigation: What Really Matters

Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Eric Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang
Proceedings of 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL),
10.48550/arXiv.2103.16561

Imagination-Augmented Natural Language Understanding

Yujie Lu , Wanrong Zhu, Xin Eric Wang, Miguel Eckstein, William Yang Wang
ACL Anthology,
https://doi.org/10.18653/v1/2022.naacl-main.326

M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers

Tsu-Jui Fu, Xin Eric Wang, Scott Grafton, Miguel Eckstein, William Yang Wang
Proceedings of Thirty-Third IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
10.48550/arXiv.2104.01122

Gaze-cued shifts of attention and microsaccades are sustained for whole bodies but are transient for body parts

Nicole X. Han and Miguel P. Eckstein
Psychonomic Bulletin & Review,
10.3758/s13423-022-02087-z

A Feedforward Convolutional Neural Network with a Few Million Neurons Learns from Images to Covertly Attend to Cues and Context like Humans and an Optimal Bayesian Observer

Sudhanshu Srivastava, William Wang, and Miguel P. Eckstein
PsyArXiv Preprints,
10.31234/osf.io/tymfn

FoveaTer: Foveated Transformer for Image Classification

Aditya Jonnalagadda, William Wang, and Miguel P. Eckstein
arXiv,
10.48550/arXiv.2105.14173

The transverse occipital sulcus and intraparietal sulcus show neural selectivity to object-scene size relationships

Lauren E. Welbourne, Aditya Jonnalagadda, Barry Giesbrecht and Miguel P. Eckstein
Communications Biology,
10.1038/s42003-021-02294-9

Comparing Visual Reasoning in Humans and AI

Shravan Murlidaran, William Yang Wang, Miguel P. Eckstein
International Conference on Learning Representations (ICLR),
10.48550/arXiv.2104.14102

Gaze Perception in Humans and CNN-Based Model

Nicole X. Han, William Yang Wang, Miguel P. Eckstein
International Conference on Learning Representations (ICLR) 2021,
10.48550/arXiv.2104.08447

EEG signatures of contextual influences on visual search with real scenes

Meghdadi, A.H., Giesbrecht, B. & Eckstein, M.P.
Experimental Brain Research,
10.1007/s00221-020-05984-8

Under-exploration of Three-Dimensional Images Leads to Search Errors for Small Salient Targets

Miguel A. Lago, Aditya Jonnalagadda, Craig K. Abbey, Bruno B. Barufaldi, Predrag R. Bakic, Andrew D.A. Maidment, Winifred K. Leung, Susan P. Weinstein, Brian S. Englander and Miguel P. Eckstein.
Current Biology,
10.1016/j.cub.2020.12.029

SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning

Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein and William Yang Wang
Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP), ACL. ,

Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling

Tsu-Jui Fu, Xin Eric Wang, Matthew Peterson, Scott Grafton, Miguel Eckstein and William Yang Wang
Proceedings of the 16th European Conference on Computer Vision (ECCV),

Assessment of Faster R-CNN in Man-Machine Collaborative Search

Arturo Deza, Amit Surana, Miguel P. Eckstein
IEEE/CVF Conference on Computer Vision and Pattern Recognition ,
10.1109/CVPR.2019.00330
Emblems