[HTML][HTML] The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension
The “Narratives” collection aggregates a variety of functional MRI datasets collected while
human subjects listened to naturalistic spoken stories. The current release includes 345 …
human subjects listened to naturalistic spoken stories. The current release includes 345 …
A neural network model of when to retrieve and encode episodic memories
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 …
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
The complexity of the human brain gives the illusion that brain activity is intrinsically high-
dimensional. Nonlinear dimensionality-reduction methods such as uniform manifold …
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
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 …
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 …
object processes in the ventral pathway, the specific functional contributions of dorsal cortex …
Neuralizer: General Neuroimage Analysis without Re-Training
Neuroimage processing tasks like segmentation, reconstruction, and registration are central
to the study of neuroscience. Robust deep learning strategies and architectures used to …
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 …
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 …
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
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 …
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
Naturalistic stimuli evoke complex neural responses with spatial and temporal properties
that differ across individuals. Current alignment methods focus on either spatial …
that differ across individuals. Current alignment methods focus on either spatial …