Talk slides

* Different mechanisms and pathways for perceiving objects, sets, and ensembles [pdf]
An invited talk presented at Brigham and Women’s Hospital, 2018

* Differential hemispheric and pathway contributions to processing of emotional faces and crowds [pdf]
An invited talk presented at Perception and Action Seminar in Brown University, 2018

* The integrative process of reading emotional expressions from a crowd of faces [pdf]
An invited talk presented at Society for Neurocience, 2015

* Crowd emotion: reading emotional expressions from crowds of faces [pdf]
An invited talk presented at Media Conference on Social Behaviors in Society for Neurocience, 2015

* Guest lecture slide on Scene Perception at Brown University, 2014 Fall [pdf]

* Guest lecture slide on Scene Perception at Brown University, 2014 Spring [pdf]


Posters presented at conferences

* The effects of aging in neural processing of facial threat cues via magnocellular and parvocellular pathways [pdf]
Poster presented at Vision Sciences Society, 2018

* Sex-related differences in behavioral and neural processing of facial threat cues via magnocelluarl and parvocelluarl pathways [pdf]
Poster presented at Cognitive Neuroscience Society, 2018

* Neurodynamics of reading crowd emotion: Independent visual pathways and hemispheric contributions [pdf]
Poster presented at Vision Sciences Society, 2017

* Trait anxiety moderates visual pathway contributions to the processing of clear versus ambiguous threat [pdf]
Poster presented at Vision Sciences Society, 2017

* Crowd emotion perception is lateralized in a goal-driven fashion and modulated by observer anxiety and stimulus characteristics: behavioral and fMRI results [pdf]
Poster presented at Vision Sciences Society, 2016

* Reading crowd emotion: The roles of hemispheric specialization, task goal, anxiety, and facial identity [pdf]
Poster presented at Cognitive Neuroscience Society, 2016

* Information pursuit as a model for efficient visual search [pdf]
Poster presented at Vision Sciences Society, 2014

* Biases in human estimation are well-described by clustering algorithms from computer vision [pdf]
Poster presented at Vision Sciences Society, 2013


Scripts

  • R scripts

  • MATLAB scripts