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Neuroimage
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September 26, 2009
Relating BOLD fMRI and neural oscillations through convolution and optimal linear weighting
Johanna M Zumer, Matthew J Brookes, Claire M Stevenson, et al.
Neural Computation
|
April 2, 2014
Neural decoding with kernel-based metric learning
Austin J Brockmeier, John S Choi, Evan G Kriminger, et al.
Magma (New York, N.Y.)
|
September 11, 2024
Quantitative body magnetic resonance imaging: how to make it work
Octavia Bane, Durgesh Kumar Dwivedi, Susan T Francis, et al.
The American Journal of Clinical Nutrition
|
August 2, 2013
Brain activation in relation to specific dietary components: what does fMRI measure and how should one interpret cravings for certain foods?
Ian A Macdonald, Susan T Francis, Penny A Gowland, et al.
Solid State Nuclear Magnetic Resonance
|
December 20, 2005
A new quantitative analysis of significant timing differences between externally cued and self-initiated motor tasks in an fMRI study
A M Gibson, M J Brookes, S-S Kim, et al.
Brain Research
|
December 31, 1993
Localisation of muscarinic (m1) and other neurotransmitter receptors on corticofugal-projecting pyramidal neurones
I P Chessell, P T Francis, M N Pangalos, et al.
Magnetic Resonance in Medicine
|
January 2, 2003
Investigating the BOLD effect during infusion of Gd-DTPA using rapid T2* mapping
J A Pears, S T Francis, S E Butterworth, et al.
Langmuir : the ACS Journal of Surfaces and Colloids
|
March 23, 2005
Robust self-assembled octadecylphosphonic acid monolayers on a mica substrate
H-Y Nie, D J Miller, J T Francis, et al.
ACS Nano
|
February 12, 2009
Universal method for the fabrication of detachable ultrathin films of several transition metal oxides
Sherdeep Singh, Miguel Festin, Warren R T Barden, et al.
Neuroimage
|
December 8, 2011
Measuring venous blood volume changes during activation using hyperoxia
N P Blockley, I D Driver, J A Fisher, et al.
Page
of 57
Search research articles
Search
Showing results (311-320 of 570) with videos related to
Sort By:
Page
of 57
Neuroimage
|
September 26, 2009
Relating BOLD fMRI and neural oscillations through convolution and optimal linear weighting
Johanna M Zumer, Matthew J Brookes, Claire M Stevenson, et al.
Neural Computation
|
April 2, 2014
Neural decoding with kernel-based metric learning
Austin J Brockmeier, John S Choi, Evan G Kriminger, et al.
Magma (New York, N.Y.)
|
September 11, 2024
Quantitative body magnetic resonance imaging: how to make it work
Octavia Bane, Durgesh Kumar Dwivedi, Susan T Francis, et al.
The American Journal of Clinical Nutrition
|
August 2, 2013
Brain activation in relation to specific dietary components: what does fMRI measure and how should one interpret cravings for certain foods?
Ian A Macdonald, Susan T Francis, Penny A Gowland, et al.
Solid State Nuclear Magnetic Resonance
|
December 20, 2005
A new quantitative analysis of significant timing differences between externally cued and self-initiated motor tasks in an fMRI study
A M Gibson, M J Brookes, S-S Kim, et al.
Brain Research
|
December 31, 1993
Localisation of muscarinic (m1) and other neurotransmitter receptors on corticofugal-projecting pyramidal neurones
I P Chessell, P T Francis, M N Pangalos, et al.
Magnetic Resonance in Medicine
|
January 2, 2003
Investigating the BOLD effect during infusion of Gd-DTPA using rapid T2* mapping
J A Pears, S T Francis, S E Butterworth, et al.
Langmuir : the ACS Journal of Surfaces and Colloids
|
March 23, 2005
Robust self-assembled octadecylphosphonic acid monolayers on a mica substrate
H-Y Nie, D J Miller, J T Francis, et al.
ACS Nano
|
February 12, 2009
Universal method for the fabrication of detachable ultrathin films of several transition metal oxides
Sherdeep Singh, Miguel Festin, Warren R T Barden, et al.
Neuroimage
|
December 8, 2011
Measuring venous blood volume changes during activation using hyperoxia
N P Blockley, I D Driver, J A Fisher, et al.
Page
of 57