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HomePhilosophyJames Haxby will livestream on June third. – The Brains Weblog

James Haxby will livestream on June third. – The Brains Weblog

The following Neural Mechanisms On-line webinar “Hyperalignment: Modeling shared data encoded in idiosyncratic cortical topographies” will probably be delivered by James V. Haxby on June third. See beneath for particulars in regards to the free discuss and how you can be part of.

Modeling shared data encoded in idiosyncratic cortical topographies

James V. Haxby (Dartmouth Faculty)

h 14-16 Greenwhich Imply Time / 16-18 CEST (verify your native time right here)

Be part of the assembly through Webex (the hyperlink will probably be activated 10 minutes earlier than the discuss)

Summary. Info that’s shared throughout brains is encoded in idiosyncratic fine-scale useful topographies. Hyperalignment captures shared data by projecting sample vectors for neural responses and connectivities into a standard, high-dimensional data area, moderately than by aligning topographies in a canonical anatomical area. Particular person transformation matrices mission data from particular person anatomical areas into the widespread mannequin data area, preserving the geometry of pairwise dissimilarities between sample vectors, and mannequin cortical topography as mixtures of overlapping, individual-specific topographic foundation features, moderately than as contiguous useful areas. The elemental property of mind operate that’s preserved throughout brains is data content material, moderately than the useful properties of native options that assist that content material. On this Perspective, we current the conceptual framework that motivates hyperalignment, its computational underpinnings for joint modeling of a standard data area and idiosyncratic cortical topographies, and talk about implications for understanding the construction of cortical useful structure.

You could find the paper right here.

Sensible data:

Movies of prior talks may be discovered on the Neural Mechanisms YouTube channel.


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