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Biology of Mood & Anxiety Disorders|April 24, 2015
Neurocognitive therapeutics: from concept to application in the treatment of negative attention biasDavid M Schnyer, Christopher G Beevers, Megan T deBettencourt, et al.Nature Communications|July 1, 2024
Shared functional specialization in transformer-based language models and the human brainSreejan Kumar, Theodore R Sumers, Takateru Yamakoshi, et al.Biorxiv : the Preprint Server for Biology|February 24, 2025
Fast-timescale hippocampal processes bridge between slowly unfurling neocortical states during memory searchSebastian Michelmann, Patricia Dugan, Werner Doyle, et al.Plos Computational Biology|January 16, 2020
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysisManoj Kumar, Cameron T Ellis, Qihong Lu, et al.Neuroimage|June 27, 2017
Mapping between fMRI responses to movies and their natural language annotationsKiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, et al.Biorxiv : the Preprint Server for Biology|April 17, 2026
Reactivation during sleep segregates the neural representations of episodic memoriesSarvia Aquino Argueta, Andrew Lazarus, Fiona Yao, et al.Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|January 10, 2021
Cloud-Based Functional Magnetic Resonance Imaging Neurofeedback to Reduce the Negative Attentional Bias in Depression: A Proof-of-Concept StudyAnne C Mennen, Nicholas B Turk-Browne, Grant Wallace, et al.Behavioral Neuroscience|February 26, 2004
Blockade of central cholinergic receptors impairs new learning and increases proactive interference in a word paired-associate memory taskAlireza Atri, Seth Sherman, Kenneth A Norman, et al.Nature Neuroscience|February 24, 2017
Computational approaches to fMRI analysisJonathan D Cohen, Nathaniel Daw, Barbara Engelhardt, et al.Neuroimage|May 17, 2022
RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRIGrant Wallace, Stephen Polcyn, Paula P Brooks, et al.Pageof 14