Oliver W. Layton, Post-Doc Research Associate, RPI Cognitive Science


Oliver W. Layton, Post-Doc Research Associate, RPI Cognitive Science

Sage 4101

February 10, 2016 12:00 PM - 1:30 PM

Our ability to walk through dense crowds and drive on changing roadways highlights how effectively humans use vision to guide self-motion through dynamic environments. While research over the past several decades has provided insight on how humans rely on the changing pattern of motion on the eye (optic flow) to perceive self-motion, our understanding of the underlying neural mechanisms in the primate brain has lagged behind. Only recently have findings about self-motion perception started to appear from multiple approaches — human psychophysics, behavioral research, neurophysiology, and computational modeling. However, it has been unclear how these findings converge and how they can be integrated. I will present a framework that links and unifies the findings across the different levels of analysis, from self-motion perception to microcircuits in the brain. The framework provides a ‘computational sandbox’ to test hypotheses and generate new predictions about mechanisms. The talk will focus on how the framework has been used to try to identify important principles that explain how humans robustly perceive their self-motion in dynamic environments from optic flow.




Download paper here. 

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