VIU (Miguel Eckstein) Lab UC Santa Barbara

The Vision and Image Understanding Laboratory at the University of California, Santa Barbara (Eckstein Lab)

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

New lab Nature Communications paper: Where do humans look during free viewing? Most frequently, to people and objects critical to the understanding of scenes. Congrats @SMurlidaran https://t.co/HDeCOvevxk

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

Short 5-min AI generated (VIU human fact-checked) podcast for "Emergent neuronal mechanisms mediating covert attention in convolutional neural networks" (PNAS, 2025)

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

New PNAS paper!
Probing CNNs with neuroscience tools uncovers emergent covert-attention behavior and predicts previously unnoticed target/cue-location–opponent cells, validated in mice superior colliculus.
Congrats @sudh8887 @WilliamWangNLP Read more: https://t.co/2w77V4MgHn

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

New paper in J. Med. Imaging explains when and why CNNs outperform traditional linear models in predicting radiologist performance and assessing medical image quality. Congrats 1st author Aditya! With @PennRadiology.
Full paper: https://t.co/ceny6GubTh

[University of California @UofCalifornia]

Who really "invented" the iPhone? Universities. Specifically, key technology underlying the iPhone can be attributed to scientists at @UCBerkeley @UDelaware and @stanford. All of these inventions have one common thread: federal funding for science.

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

Vision meets Radiology. Two studies, which record eye movements, demonstrate how and why AI can enhance radiologists' search efficiency in mammograms. And how the benefits could be higher for 3D Digital Breast Tomosynthesis. https://t.co/VGC9ldp43E
https://t.co/EdJEeJwtsr

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

New preprint analyzing 1.8 million neurons of CNNs with emergent behavioral and neuronal signatures of covert attention without incorporating any explicit attention mechanism. With @sudh8887 @WilliamWangNLP https://t.co/0m9COVHjgg

[UCSB Mind and Machine Intelligence @ucsbmmi]

Call for Submissions: UCSB AI/Human Creativity Contest

As part of this year's summit "AI and Human Creativity" the Mellichamp Initiative in Mind & Machine Intelligence is organizing three AI/Human Creativity contests: Short Story, Visual Art, and Music
https://t.co/4FuVaFCvxS

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

3/n The cue/context effects are emergent for a variety of network sizes, training schemes, and pre-trained large networks (VGG16). The results generalize to tasks with pre-cues, central cues, and discrimination judgments.

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

2/n The CNNs, without any built-in explicit attention mechanism or cue/context priors predict human behavior for three classic attention tasks: Posner cueing, search, and contextual cueing. The cue/context effects are comparable to those of a Bayesian Ideal Observer (BIO).

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

1/n: New Current Biology paper, Emergent human-like Covert Attention in Feed Forward Convolutional Neural Networks https://t.co/vFE6UcLQYr
Congratulations 1st author @sudh8887

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

New collaborative paper with Steyvers lab (UCI) on how experts and novices use language to make inferences about people's knowledge. Congrats @nicole7han and VIU lab star-undergrad @Ansh_soni1234!
https://t.co/8WzCzbeSIw

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

New lab paper Psych. Bull. & Review: A preference to look closer to the eyes is associated with a position-invariant face neural code https://t.co/pKo4hfw0tZ

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

New lab paper in eLife characterizing the inferential and functional nature of social attention’s fine-grain eye movement dynamics.
https://t.co/ZHQ4zc2BCF

[UCSB Computer Science Department @ucsbcs]

PhD Student Yujie Lu was awarded Best Paper at ACM CHI Conference on Human Factors in Computing Systems 2023, for her work with Stanford University and Carnegie Mellon University.

Read the full article and paper on the CS website. Link in bio.

[UCSB Mind and Machine Intelligence @ucsbmmi]

Our 2023 Annual Summit: “AI and Decision Making” is taking place this April 13th and 14th. For more information and to register for this free event, visit: https://t.co/ihXaGh93mW

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

New IEEE TMI lab paper (lead author, Devi Klein) understanding why and under what circumstances a 2-D synthesized image aids search in 3D image stacks commonly used in radiology.
https://t.co/t2TNJEUJsV

[VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu]

Congrats Nicole Han for a new lab paper on Dynamic Gaze, covert attention, and microsaccades. Psych Bull. & Rev.
https://t.co/o9a1XqiM52

[UCSB Mind and Machine Intelligence @ucsbmmi]

Our 2022 Annual Summit: “AI and Neuroscience” is taking place this February 16th and 17th. For more information and to register for this free event, visit: https://t.co/ixasB3HVhX

Join in with @WilliamWangNLP @bingbrunton @guyvdb @jrking0 and many others!