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  • Giulia Bertò

     Giulia Bertò holds a Ph.D. in Information and Communication Technology from the University of Trento, Italy. Her work focuses on the application of advanced automatic methods to neuroimaging data analysis and concussion neuroscience. In 2021 she joined the Pestilli Lab at UT Austin, where she studies the effect of concussions on the brain white matter using Cloud Computing and Machine Learning.

    Email:giulia.berto@austin.utexas.edu

    My Google scholar link.

     

  • Spencer Caplan

    Spencer Caplan received his PhD in Linguistics from the University of Pennsylvania. His research is at the intersection of of linguistics, computation, and cognition: using a combination of experimental methods (e.g. eye-tracking, categorization, judgement tasks), computational modeling, as well as quantitative analysis of "natural" data to address questions primarily in language acquisition and processing. After a couple years teaching Computer Science at Swarthmore College, Spencer joined Chen Yu's Developmental Intelligence lab in 2022. Current projects include studying the role of visual attention during learning and the maintenance of sub-categorical perceptual information over time.

    Email:me@spencercaplan.org

    Spencer's Personal Webpage

     

    Selected Publications:

     

  • Bradley Caron

    I am a Post Doctoral Fellow in the  Pestilli Lab.

    My Research Interests are electrophysiology, computational modeling): White matter, neuroinformatics, vision, traumatic brain injury (TBI)

    Email:bacaron@utexas.edu

    My Google scholar link.

  • Sandra Hanekamp

    I am a Research Fellow in the Department of Psychology at the University of Texas, Austin. Dr. Hanekamp joined the University of Texas in 2021. Prior to that, she was a Postdoctoral Fellow at Indiana University and Harvard Medical School. Dr. Hanekamp holds a Ph.D. in Perceptual and Cognitive Neuroscience, a MSc in Clinical Neuropsychology and a BSc in Neurolinguistics from the University of Groningen. Her work focuses on white matter imaging and what happens to the brain in disease. Dr. Hanekamp also acts as the Manager of open cloud computing platform brainlife.io

    Email:sandrahanekamp@utexas.edu

     

    Selected Publications:

    Hanekamp, S., Ćurčić-Blake, B., Caron, B. et al. White matter alterations in glaucoma and monocular blindness differ outside the visual system. Sci Rep 11, 6866 (2021).  https://doi.org/10.1038/s41598-021-85602-x

    Hanekamp S & Simonyan K. 2020. The Large-Scale Structural Connectome of Task-Specific Focal Dystonia. Human Brain Mapping DOI: 10.1002/hbm.25012

    Hanekamp S*, De Lima Xavier L. , and Simonyan K. 2019. Sexual Dimorphism Within Brain Regions Controlling Speech Production. Front Neurosci, 13, Pp. 795

    *shared first author, order reversed in paper

    de Wit E, van Dijk P, Hanekamp S, Visser-Bochane M, Steenbergen B, van der Schans CP & Luinge MR (2017). Same or Different: the Overlap Between Children With Auditory Processing Disorders and Children With Other Developmental disorders: A Systematic Review. Ear Hear. Hanekamp S, Boucard CC, Ćurčić-Blake B, Ida M, Yoshida M & Cornelissen FW (2016): Neurodegeneration beyond the primary visual pathways in a population with a high incidence of normal-pressure glaucoma. Ophthalmic Physiol Opt 36:.

    Hanekamp S*, Prins D,  & Cornelissen FW (2016): Structural brain MRI studies in eye diseases: are they clinically relevant? A review of current findings. Acta Ophthalmol 94: 113–121.*shared first author, order reversed in paper

  • Abhranil Das
  • Satwant Kumar
  • Oliver Muthmann
  • Nate Powell

    I am a postdoctoral fellow at University of Texas at Austin working with Dr. Mary Hayhoe. I received my PhD in Cognitive Science at Rensselaer Polytechnic Institute in 2022 working with Dr. Brett Fajen. My research interests include visually guided locomotion in humans, computational neuroscience, and machine learning. 

    Email:nathaniel.v.powell@gmail.com

     

    My Google Scholar Link

     

    Selected Publications: 

    Powell, N. V., Marshall, X., Steinmetz, S. T., Diaz, G. J., Layton, O. W., & Fajen, B. R. (2021). The coordination of gaze and steering behavior in drone-racing pilots during high-speed flight. Journal of Vision, 21(9), 2697-2697.

     

    Steinmetz, S. T., Layton, O. W., Powell, N. V., & Fajen, B. R. (2022). A Dynamic Efficient Sensory Encoding Approach to Adaptive Tuning in Neural Models of Optic Flow Processing. Frontiers in Computational Neuroscience, 16.

     

    Layton, O. W., Steinmetz, S., Powell, N., & Fajen, B. R. (2019). Computational investigation of sparse MT-MSTd connectivity and heading perception. Journal of Vision, 19(10), 237a-237a.


    Layton, O. W., Powell, N., Steinmetz, S. T., & Fajen, B. R. (2022). Estimating curvilinear self-motion from optic flow with a biologically inspired neural system. Bioinspiration & Biomimetics, 17(4), 046013.

  • Jason Samonds

    Jason Samonds received his PhD in 2004 from Vanderbilt University. His doctoral work under advisor AB Bonds focused on neural coding of orientation in populations of neurons in the primary visual cortex. He joined Tai Sing Lee’s lab at Carnegie Mellon University in 2005 and studied stereoscopic vision in the non-human primate. He joined the lab of Nicholas Priebe at UT Austin in 2015. His current research includes studying stereoscopic vision in mice and saccadic eye movements in multiple different mammals. 

    Selected Publications:

    • Boone HC*, Samonds JM*, Crouse E, Barr C, Priebe NJ, McGee AW (2021) Natural binocular depth discrimination behavior in mice explained by visual cortical activity. Curr Biol 31:2191-2198. 
    • Samonds JM, Choi V, Priebe NJ (2019) Mice discriminate stereoscopic surfaces without fixating in depth. J Neurosci 39:8024-8037. 
    • Samonds JM, Lieberman S, Priebe NJ (2018) Motion discrimination and the motion aftereffect in mouse vision. eNeuro 5(6) e0065-18.2018 1–12. 
    • Samonds JM, Geisler WS, Priebe NJ (2018) Natural image and receptive field statistics predict saccade sizes. Nature Neurosci 21:1591–1599.
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    Email:samonds@austin.utexas.edu

  • Corey Ziemba

    Corey Ziemba received his PhD in 2016 from New York University. His doctoral work under advisors Tony Movshon and Eero Simoncelli focused on dissecting the role of the second visual area in the representation and discrimination of naturalistic visual patterns, particularly visual textures. He joined the lab of Robbe Goris at UT Austin in 2018. His current research includes the use of imaging methods with Ian Nauhaus to explore the transformation of visual pattern representation across the visual cortex, as well as investigating the neural representation of sensory uncertainty in perceptual decision making. 

    Email:ziemba@utexas.edu


    Selected Publications:

    • Ziemba CM, Freeman J, Simoncelli EP, & Movshon JA (2018). Contextual modulation of sensitivity to naturalistic image structure in macaque V2. Journal of Neurophysiology 120, 409-420.
    • Goris RLT*, Ziemba CM*, Stine GM, Simoncelli EP, & Movshon JA (2017). Dissociation of choice formation and choice-correlated activity in macaque visual cortex. Journal of Neuroscience 37, 5195-5203.
    • Ziemba CM*, Freeman J*, Movshon JA, & Simoncelli EP (2016). Selectivity and tolerance for visual texture in macaque V2. Proceedings of the National Academy of Sciences 113, E3140-E3149.
    • Freeman J*, Ziemba CM*, Heeger DJ, Simoncelli EP, & Movshon JA (2013). A functional and perceptual signature of the second visual area in primates. Nature Neuroscience 16, 974-981.