Christopher J. Honey

Orcid: 0000-0002-0745-5089

Affiliations:
  • Johns Hopkins University, Department of Psychological and Brain Sciences, Baltimore, MD, USA
  • University of Toronto, Department of Psychology, ON, Canada (former)
  • Princeton University, Department of Psychology, Princeton, NJ, USA (former)
  • Indiana University Bloomington, Bloomington, IN, USA (PhD 2009)


According to our database1, Christopher J. Honey authored at least 17 papers between 2010 and 2023.

Collaborative distances:

Timeline

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Bibliography

2023
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Dataset, November, 2023

Boosting Theory-of-Mind Performance in Large Language Models via Prompting.
CoRR, 2023

2022
Characterizing Verbatim Short-Term Memory in Neural Language Models.
Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

2021
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay.
CoRR, 2021

Mapping the Timescale Organization of Neural Language Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Temporal integration of narrative information in a hippocampal amnesic patient.
NeuroImage, 2020

Learning Representations from Temporally Smooth Data.
CoRR, 2020

2018
Mapping between fMRI responses to movies and their natural language annotations.
NeuroImage, 2018

Elucidating relations between fMRI, ECoG, and EEG through a common natural stimulus.
NeuroImage, 2018

2016
Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations.
CoRR, 2016

2015
Contextual Alignment of Cognitive and Neural Dynamics.
J. Cogn. Neurosci., 2015

2014
Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations.
NeuroImage, 2014

2012
Human Motor Cortical Activity Is Selectively Phase-Entrained on Underlying Rhythms.
PLoS Comput. Biol., 2012

Future trends in Neuroimaging: Neural processes as expressed within real-life contexts.
NeuroImage, 2012

Loss of reliable temporal structure in event-related averaging of naturalistic stimuli.
NeuroImage, 2012

Does rhythmic entrainment represent a generalized mechanism for organizing computation in the brain?
Frontiers Comput. Neurosci., 2012

2010
Can structure predict function in the human brain?
NeuroImage, 2010


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