VIU LogoVision & Image Understanding
   

Now accepting applications for graduate positions with an emphasis on the topics of research below (applications on other topics of interest to the lab are also welcome. For more information email eckstein@psych.ucsb.edu). We are an interdisciplinary laboratory and welcome students with backgrounds in mathematics, computer science, engineering, physics, biology, neuroscience and experimental/cognitive psychology.

Some news stories on recent work by the VIU lab:

Humans vs. Deep Neural Networks:

https://www.sciencedaily.com/releases/2017/09/170926161827.htm
http://www.kurzweilai.net/human-vs-deep-neural-network-performance-in-object-recognition

Collective wisdom and search:
https://www.sciencedaily.com/releases/2017/06/170621120243.htm

Foveal and peripheral processing during search:
http://www.futurity.org/peripheral-vision-multitasks-search/
Times of India

Visual search and the brain
http://www.sciencedaily.com/releases/2012/07/120717100315.htm

Scene context and the brain:
http://www.sciencedaily.com/releases/2013/05/130521105706.htm

Optimal eye movements during face recongition
http://www.sciencedaily.com/releases/2012/11/121126142959.htm
http://www.futurity.org/we-look-right-below-the-eyes-to-judge-faces/

Individual differences in eye movements to faces
http://www.sciencedaily.com/releases/2013/07/130724103213.htm

Meet the lab: Here are some pictures of the lab at a conference and bbq in Santa Barbara VSS2011;Lab BBq2012; LAB BBq2013

Computational Cognitive Neuroscience:

This position is to elucidate the neural basis of attention, learning and decision making using electroencephalogram (EEG), functional magnetic resonance imaging (fMRI) and machine learning algorithms to relate neural activity to human behavior and computational models.

Visual Attention and Eye movements during search

How do humans and animals use the statistical structure of environments to plan eye movements and deploy attention to search for objects? This position is to study this question using computational modeling, fixed and mobile eye tracker technology to measure human eye movements, and analysis of natural images with the goal of explaining human search strategies.

Eye movments and Face Recognition tasks

Identfying people from faces, their gender and emotions are all evolutionary important perceptual tasks that humans routinely engage in on a daily basis. How do humans plan their eye movements to scrutinize faces? Do eye movement strategies vary across individuals and why? This position is to study these questions using computational modeling, fixed and mobile eye tracker technology to measure human eye movements, analysis of faces, and neuroimaging with the goal of explaining human eye movement strategies during face recognition taks.

Medical imaging, Image Qualty and Perceptual decisions

There is a tradition of of a line of research in the VIU lab studying how physicians scrutinize images to make diagnostic decisions and developing engineering tools and models to optimize medical image quality. This position is to study either theoretical issues in the perception of medical image quality and/or developing engineering tools to optimize medical image quality.

Computational Collective Wisdom

Decisions by groups of individuals or animals can often lead to more accurate decisions than that attained by any individual in the group. This is known as collective wisdom. How do groups of humans combine information to reach decisions? And what are the neural basis of collective wisdom? This position addresses these questions using computtional tools, behavioral studies and electrophysiology.