A central motive of my work is the interplay between higher level visual processes and low level feature encoding. I study this by combining behavioural and neural measurements with computational modelling and quantitative characterizations of the environment in which an...
In the fall term 2017, I have been teaching "Sensation and Perception" (PSYC 2220B) and "Intermediate Research Methods" (PSYCH 3010)....
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A central motive of my work is the interplay between higher level visual processes and low level feature encoding. I study this by combining behavioural and neural measurements with computational modelling and quantitative characterizations of the environment in which an organism acts.
Spatially perturbed natural images typically look less natural, making it hard to relate results to natural behaviour. We solve this by using generative adversarial nets and find humans to be more sensitive to perturbations constrained to the manifold of natural images than to pixel perturbations.
Fruend & Stalker (2018): Measuring human sensitivity to perturbations within the manifold of natural images. bioRxiv/2018/320531
In the fall term 2017, I have been teaching "Sensation and Perception" (PSYC 2220B) and "Intermediate Research Methods" (PSYCH 3010).
In "Sensation and Perception" we study how our mind creates the experience of a coherent world from the physical phenomena that arrive at our receptors. After a brief introduction to perception in general, the course focusses on vision from both a behavioural as well as a neuroscientific perspective.
Assessment of learning progress is achieved through a combination of brief, weekly online tests and a written final exam in which students summarize their learning outcomes.
In "intermediate research methods", we address questions about operationalization of theoretical concepts and the formulation of a research question and we discuss aspects of planning an experiment, proper experimental control, and appropriate embedding of a study in the context of prior research. Students practise these skills by designing and executing a small research study of their own.
Assessment of learning progress is achieved through a series of written assignments that cover the study's motivation, design, critique of other students' writing, and discussion of results and limitations.
I am an Assistant Professor for Computational Neuroscience as York University, Toronto, ON. I am also a member of the Centre for Vision Research at York University, Toronto, ON and an associate member of the Vision: Science To Applications (VISTA) program at York.
I accept students from the graduate programs in Psychology (PhD, MSc) and Computer Science (MSc).
My research combines behavioural and neural data with computational modeling to understand how high level visual processes interact with low level feature encoding.
I received my PhD in Christoph Herrmann's lab and then went on to do postdoctoral work with Felix Wichmann and James Elder. Before taking on my current position at York, I worked as a Data Scientist at Zalando and later as an A.I. engineer at Twenty Billion Neurons.
I am an undergraduate student majoring in Psychology and minoring in Kinesiology at York University. My interest in research of perception stems from a background in photography, as well as a curiosity of visual perception.
I am a BSc Psychology student at York University. I'm interested in learning the neural activity behind visual processing. My previous research experience is in behavioural studies, working at Baycrest hospital with seniors with varying degrees of dementia.
I am a Bachelor of Science Psychology student at York University. I am interested in the processes of interpretation and organization of visual sensory information. My main area of interest is attention.