18-02-20 Anzellotti, 2018¶
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Anzellotti, Stefano, Coutanche, Marc N., 2018
T1 - Beyond Functional Connectivity: Investigating Networks of Multivariate Representations
AU - Anzellotti, Stefano
AU - Coutanche, Marc N.
JF - Trends in Cognitive Sciences
UR - http://dx.doi.org/10.1016/j.tics.2017.12.002
Contents¶
- 1. Incorporation Multivariate Information into Our Understanding of Brain Networks
- 2. From Univariate to Multivariate Signal
- 2.1. Multivoxel Pattern Analysis
- 3. Moving beyound Univariate Approaches to Connectivity
- 4. Modeling Regions' Multivariate Responses
- 5. Modeling Interactiona
- 6. From Studying
- 7. Concluding
1 Incorporation Multivariate Information into Our Understanding of Brain Networks¶
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? what is the relationship between teh information encoded in one brain reginon and the information encoded in another
Functional Connectivity -> Multivariate analysis
outline:
- advances / how this information is neglected
- recent tech
- significance of the change of perspective
2 From Univariate to Multivariate Signal¶
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univariate diff can reflect a wide variety of neural computations
2.1 Multivoxel Pattern Analysis¶
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MVPA : ...
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3 Moving beyond Univariate Approaches to Connectivity¶
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traditional FC NOT measure fluctuations in info that is represented in multivox pattern
fig1¶
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2 approaches: 1. Informational connectivity 2. MVPA
they examine the relationship between patterns of multiple brain regions, such as using the patterns from one region to predict patterns in another region
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diff multivariate connectivity techs vary in: - how describe multivariate signal - classifier - points in multidim - model regional interaction - correlation - linear regression - nonlinear model
4 Modeling Regions' Multivariate Responses
4.1 Informational Connectivity¶
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Informational connectivity :