[HTML][HTML] The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension

SA Nastase, YF Liu, H Hillman, A Zadbood… - Scientific data, 2021 - nature.com
The “Narratives” collection aggregates a variety of functional MRI datasets collected while
human subjects listened to naturalistic spoken stories. The current release includes 345 …

A neural network model of when to retrieve and encode episodic memories

Q Lu, U Hasson, KA Norman - elife, 2022 - elifesciences.org
Recent human behavioral and neuroimaging results suggest that people are selective in
when they encode and retrieve episodic memories. To explain these findings, we trained a …

[HTML][HTML] Multi-view manifold learning of human brain-state trajectories

EL Busch, J Huang, A Benz, T Wallenstein… - Nature computational …, 2023 - nature.com
The complexity of the human brain gives the illusion that brain activity is intrinsically high-
dimensional. Nonlinear dimensionality-reduction methods such as uniform manifold …

[HTML][HTML] Neural alignment predicts learning outcomes in students taking an introduction to computer science course

M Meshulam, L Hasenfratz, H Hillman, YF Liu… - Nature …, 2021 - nature.com
Despite major advances in measuring human brain activity during and after educational
experiences, it is unclear how learners internalize new content, especially in real-life and …

The dorsal visual pathway represents object-centered spatial relations for object recognition

V Ayzenberg, M Behrmann - Journal of Neuroscience, 2022 - Soc Neuroscience
Although there is mounting evidence that input from the dorsal visual pathway is crucial for
object processes in the ventral pathway, the specific functional contributions of dorsal cortex …

Neuralizer: General Neuroimage Analysis without Re-Training

S Czolbe, AV Dalca - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Neuroimage processing tasks like segmentation, reconstruction, and registration are central
to the study of neuroscience. Robust deep learning strategies and architectures used to …

Individual differences in neural event segmentation of continuous experiences

C Sava-Segal, C Richards, M Leung, ES Finn - Cerebral Cortex, 2023 - academic.oup.com
Event segmentation is a spontaneous part of perception, important for processing
continuous information and organizing it into memory. Although neural and behavioral event …

Unconscious Manipulation of Conceptual Representations with Decoded Neurofeedback Impacts Search Behavior

P Margolles, P Elosegi, N Mei, D Soto - Journal of Neuroscience, 2024 - Soc Neuroscience
The necessity of conscious awareness in human learning has been a long-standing topic in
psychology and neuroscience. Previous research on non-conscious associative learning is …

High-order areas and auditory cortex both represent the high-level event structure of music

JA Williams, EH Margulis, SA Nastase… - Journal of cognitive …, 2022 - direct.mit.edu
Recent fMRI studies of event segmentation have found that default mode regions represent
high-level event structure during movie watching. In these regions, neural patterns are …

Hyper-HMM: aligning human brains and semantic features in a common latent event space

C Lee, J Han, M Feilong, G Jiahui… - Advances in …, 2024 - proceedings.neurips.cc
Naturalistic stimuli evoke complex neural responses with spatial and temporal properties
that differ across individuals. Current alignment methods focus on either spatial …