Timothy Thomas Rogers

The paper uses representational similarity learning to show that multidimensional semantic information is encoded across multiple frequencies in human ventral anterior temporal lobe.

This study improves 7T-fMRI quality in susceptibility-prone regions using multi-echo and multiband sequences, enhancing BOLD signal and GLM precision.

The paper decodes animacy from ECoG data in the human anterior ventral temporal cortex, finding that semantic information is encoded by local populations and interacts with distributed cortical regions.

The paper uses comparative multivariate decoding to evaluate theories of semantic representation in the anterior temporal lobes and other brain regions, finding domain-general vector-space codes in these areas.

The paper uses representational similarity learning to decode a graded multidimensional semantic space in the human anterior temporal cortex from ECoG data.

The paper shows that delayed maturation of semantic control in the prefrontal cortex supports conceptual learning by allowing flexible use of conceptual knowledge during development.

This study shows semantic information in human ventral anterior temporal cortex is dynamically distributed with stable and changing elements, supporting a hub-like role in semantic networks.

The paper uses a reverse engineering approach to identify cortical architecture necessary for semantic cognition by testing computational models with varying structures.

The paper shows that during rest, the human hippocampus replays weakly-learned memories more, which predicts better memory performance and relates to memory improvement after sleep.

This study introduces a structured sparsity method to analyze functional brain imaging data, revealing distributed signals missed by existing methods in visual face perception.

This study shows sleep enhances memory for shared category properties while preserving unique exemplar information, with effects influenced by REM and non-REM sleep.