Christoph T. Weidemann
\nDepartment of Psychology, University of Pennsylvania, USA (Visiting scholar)
\nDepartment of Psychology, Swansea University, UK<\/p>\n
\u201cThe dynamics of cognition: Decoding brain activity with machine learning\u201d<\/p>\n
Summary:
\nPerformance in a cognitive task, such as a memory test, does not clearly distinguish between alternative theories of the underlying processes. Brain activity can provide important additional insights into the dynamics of cognitive processes as they unfold. I will show examples of my work where I used multivariate statistical (\u201cmachine learning\u201d) methods to quantify associated neural signals to inform theories of human memory.<\/p>\n
DATE\t: Wednesday, 4 April 2018
\nTIME\t: 12.40-13.30
\nROOM\t: A-130
\nBUILDING: FEASS<\/p>\n","protected":false},"excerpt":{"rendered":"
Christoph T. Weidemann Department of Psychology, University of Pennsylvania, USA (Visiting scholar) Department of Psychology, Swansea University, UK \u201cThe dynamics of cognition: Decoding brain activity with machine learning\u201d Summary: Performance in a cognitive task, such as a memory test, does not clearly distinguish between alternative theories of the underlying processes. [\u2026] <\/p>\n