60 citations · 123 across the 8 of their papers we have counts for
8 papers
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)
Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…
Boosting Theory-of-Mind Performance in Large Language Models via Prompting
Shima Rahimi Moghaddam, Christopher J. Honey
Large language models (LLMs) excel in many tasks in 2023, but they still face challenges in complex reasoning. Theory-of-mind (ToM) tasks, which require understanding agents' belie…
Characterizing Verbatim Short-Term Memory in Neural Language Models
Kristijan Armeni, Christopher Honey, Tal Linzen
When a language model is trained to predict natural language sequences, its prediction at each moment depends on a representation of prior context. What kind of information about t…
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay
Hsiang-Yun Sherry Chien, Javier S. Turek, Nicole Beckage +3
Sequential information contains short- to long-range dependencies; however, learning long-timescale information has been a challenge for recurrent neural networks. Despite improvem…
Phase and amplitude dynamics of coupled oscillator systems on complex networks
Jae Hyung Woo, Christopher J. Honey, Joon-Young Moon
We investigated the locking behaviors of coupled limit-cycle oscillators with phase and amplitude dynamics. We focused on how the dynamics are affected by inhomogeneous coupling st…
Mapping the Timescale Organization of Neural Language Models
Hsiang-Yun Sherry Chien, Jinhan Zhang, Christopher. J. Honey
In the human brain, sequences of language input are processed within a distributed and hierarchical architecture, in which higher stages of processing encode contextual information…
Consequences of Slow Neural Dynamics for Incremental Learning
Shima Rahimi Moghaddam, Fanjun Bu, Christopher J. Honey
In the human brain, internal states are often correlated over time (due to local recurrence and other intrinsic circuit properties), punctuated by abrupt transitions. At first glan…
Mapping Between fMRI Responses to Movies and their Natural Language Annotations
Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang +8
Several research groups have shown how to correlate fMRI responses to the meanings of presented stimuli. This paper presents new methods for doing so when only a natural language a…