In a new CABN special issue on fMRI, I discuss how the overall BOLD response and multi-voxel pattern discrimination are interpreted and measured.
In Hippocampus, my colleagues and I report that learned associations become more fully integrated into memory representations after sleep, giving people access to untaught (inferred) relational information.
Connectivity: Identifying synchronized discriminability of
multi-voxel patterns across the brain
What do you get if you cross multi-voxel pattern analysis with functional connectivity? Informational Connectivity! In Frontiers in Human Neuroscience, I describe this new method and find that semantic memory regions are connected through shared fluctuations in multi-voxel information.
without remapping: What we can (and cannot) conclude about
learned associations from training-induced behavior
After just a few hours in the lab, behavioral training studies can appear to completely reverse associations that developed over a life-time. Does a reversal in behavior mean the original association has been reversed? In Perspectives on Psychological Science, I argue 'no' and describe how associative learning theory can shed new light on modern cognitive psychology studies.
The fMRI signal differences found across different scanner runs can interfere with extracting multi-voxel information from the human brain. In this methodological work in NeuroImage, I show that using many short runs (instead of several long runs) can improve multi-voxel pattern detection.
It has been established that multi-voxel patterns contain can more information than overall mean response. In NeuroImage, my colleagues and I report that multi-voxel pattern information can also predict individual differences with greater sensitivity: in this case, symptom severity in autism spectrum disorder.