[HTML][HTML] Representational geometry: integrating cognition, computation, and the brain

N Kriegeskorte, RA Kievit - Trends in cognitive sciences, 2013 - cell.com
The cognitive concept of representation plays a key role in theories of brain information
processing. However, linking neuronal activity to representational content and cognitive …

Progress and challenges in probing the human brain

RA Poldrack, MJ Farah - Nature, 2015 - nature.com
Perhaps one of the greatest scientific challenges is to understand the human brain. Here we
review current methods in human neuroscience, highlighting the ways that they have been …

Organizing conceptual knowledge in humans with a gridlike code

AO Constantinescu, JX O'Reilly, TEJ Behrens - Science, 2016 - science.org
It has been hypothesized that the brain organizes concepts into a mental map, allowing
conceptual relationships to be navigated in a manner similar to that of space. Grid cells use …

A mathematical theory of semantic development in deep neural networks

AM Saxe, JL McClelland… - Proceedings of the …, 2019 - National Acad Sciences
An extensive body of empirical research has revealed remarkable regularities in the
acquisition, organization, deployment, and neural representation of human semantic …

What do differences between multi-voxel and univariate analysis mean? How subject-, voxel-, and trial-level variance impact fMRI analysis

T Davis, KF LaRocque, JA Mumford, KA Norman… - Neuroimage, 2014 - Elsevier
Multi-voxel pattern analysis (MVPA) has led to major changes in how fMRI data are
analyzed and interpreted. Many studies now report both MVPA results and results from …

[HTML][HTML] Tracking prototype and exemplar representations in the brain across learning

CR Bowman, T Iwashita, D Zeithamova - elife, 2020 - elifesciences.org
There is a long-standing debate about whether categories are represented by individual
category members (exemplars) or by the central tendency abstracted from individual …

[HTML][HTML] Decoding the brain: Neural representation and the limits of multivariate pattern analysis in cognitive neuroscience

JB Ritchie, DM Kaplan, C Klein - The British journal for the …, 2019 - journals.uchicago.edu
Since its introduction, multivariate pattern analysis (MVPA), or 'neural decoding', has
transformed the field of cognitive neuroscience. Underlying its influence is a crucial …

Measuring neural representations with fMRI: practices and pitfalls

T Davis, RA Poldrack - Annals of the New York Academy of …, 2013 - Wiley Online Library
Recently, there has been a dramatic increase in the number of functional magnetic
resonance imaging studies seeking to answer questions about how the brain represents …

Global neural pattern similarity as a common basis for categorization and recognition memory

T Davis, G Xue, BC Love, AR Preston… - Journal of …, 2014 - Soc Neuroscience
Familiarity, or memory strength, is a central construct in models of cognition. In previous
categorization and long-term memory research, correlations have been found between …

Differential functional connectivity along the long axis of the hippocampus aligns with differential role in memory specificity and generalization

LE Frank, CR Bowman, D Zeithamova - Journal of cognitive …, 2019 - direct.mit.edu
The hippocampus contributes to both remembering specific events and generalization
across events. Recent work suggests that information may be represented along the …