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Prof
Brunel University London
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Schedule
Tuesday, May 18, 2021
4:00 PM Europe/Zurich
Domain
NeuroscienceHost
Ad hoc
Duration
70 minutes
It seems we see the world in full detail. However, the eye is not a camera nor is the brain a computer. Incredible metabolic constraints render us unable to encode more than a fraction of information available in each glance. Instead, our illusion of stable and complete perception is accomplished by parsimonious representation relying on natural order inherent in the surrounding environment. I will begin by discussing previous behavioral work from our lab demonstrating one such strategy by which the visual system represents average properties of Gestalt-grouped sets of individual objects, warping individual object representations toward the Gestalt-defined mean. I will then discuss on-going work using a behavioral index of averaging Gestalt-grouped information established in our previous work in conjunction with an ERP-index of VSTM capacity (the CDA) to measure whether the Gestalt-grouping and perceptual averaging strategy acts to boost memory capacity above the classic “four-item” limit. Finally, I will outline our pre-registered study to determine whether this perceptual strategy is indeed engaged in a “smart” manner under normal circumstances, or compromises fidelity for capacity by perceptually-averaging in trials with only four items that could otherwise be individually represented.
Jennifer E. Corbett
Prof
Brunel University London
Contact & Resources
neuro
neuro
Brain organization and function is a complex topic. We are good at establishing correlates of perception and behavior across forebrain circuits, as well as manipulating activity in these circuits to a
neuro
Understanding how brains learn requires bridging evidence across scales—from behaviour and neural circuits to cells, synapses, and molecules. In our work, we use computational modelling and data analy