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SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp

SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp

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Page 1: SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp

SVD single voxel analysisFrank Leone, Ivan Toni, Pieter Medendorp

Page 2: SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp
Page 3: SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp
Page 4: SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp

Location = direction * amplitude?

vs

Page 5: SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp

Singular value decomposition

Page 6: SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp

Previous work: Location = X * Y (auditory domain)

Pena & Konishi, 2001

Page 7: SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp

Previous work: Eye vs Hand relative tuning

Pesaran et al, 2006

Page 8: SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp

Previous work: Eye vs Hand relative tuning

Pesaran et al, 2006

Page 9: SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp
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Closer inspection of fields

Roughly Gaussian

Correlation preferred amplitude and field width (?, in progress)

Page 17: SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp

Extensions / applications

Test different representations:• X – Y• Multiplication vs addition

Test separability in general, of any two multivalue effects

More general: fit functions through your single voxel t-values, instead of making simple contrasts

T values or beta’s?

Page 18: SVD single voxel analysis Frank Leone, Ivan Toni, Pieter Medendorp

Conclusion

There is more than meets in the eye in single voxels

Can fit functions to your t-values

Can use SVD to test separability