- Face Recognition and Perception
- Visual Attention and Saliency Detection
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Mind wandering and attention
- Functional Brain Connectivity Studies
- Action Observation and Synchronization
- Cognitive Functions and Memory
- Domain Adaptation and Few-Shot Learning
- Visual perception and processing mechanisms
- Neural Networks and Applications
- Multimodal Machine Learning Applications
- Cognitive Science and Mapping
- Memory Processes and Influences
- Advanced Image and Video Retrieval Techniques
- Personal Information Management and User Behavior
- Memory and Neural Mechanisms
University of Chicago
2022-2025
National Institutes of Health
2019-2023
National Institute of Mental Health
2019-2022
In recent years, the use of a large number object concepts and naturalistic images has been growing strongly in cognitive neuroscience research. Classical databases are based mostly on manually curated set concepts. Further, typically consist single objects cropped from their background, or varying quality, requiring elaborate manual image curation. Here we provide 1,854 diverse sampled systematically concrete picturable nameable nouns American English language. Using these concepts,...
Understanding object representations requires a broad, comprehensive sampling of the objects in our visual world with dense measurements brain activity and behavior. Here, we present THINGS-data, multimodal collection large-scale neuroimaging behavioral datasets humans, comprising densely sampled functional MRI magnetoencephalographic recordings, as well 4.70 million similarity judgments response to thousands photographic images for up 1,854 concepts. THINGS-data is unique its breadth richly...
Patterns of whole-brain fMRI functional connectivity, or connectomes, are unique to individuals. Previous work has identified subsets connections within these patterns whose strength predicts aspects attention and cognition. However, overall features such as how stable they over time similar a group-average (typical) high-performance (optimal) connectivity pattern, may also reflect cognitive attentional abilities. Here, we test whether individuals who express more stable, typical, optimal,...
Maintaining attention to a task is essential for accomplishing it. However, attentional state fluctuates moment and task-irrelevant information may compete processing. What are the consequences of fluctuations what we remember? Do in sustained vary spotlight selective attention, prioritizing task-relevant at expense information? Or, increases akin floodlight, enhancing processing all information, regardless task-relevance? In an online sample 215 adults, participants were presented...
Individuals differ in their ability to sustain attention. However, whether differences sustained attention reflect processes related attentional control and working memory or long-term (LTM) remains underexplored. In Experiment 1, we conducted an online study (n = 136) measuring participants' attention, memory, LTM. We measured with audio-visual continuous performance task (avCPT) which participants responded images while inhibiting responses infrequent targets; Flanker, change localization,...
Maintaining attention to a task is essential for accomplishing it. However, attentional state fluctuates from moment moment, and task-irrelevant information may compete processing. What are the consequences of fluctuations what we remember? Do in sustained vary spotlight selective attention, prioritizing task-relevant at expense information? Or, increases akin floodlight, enhancing processing all information, regardless relevance? In an online sample 215 adults, participants were presented...
The ability to maintain focus and remember information varies drastically from one moment the next. Variability in attentional mnemonic processes is driven both by external factors also internal neural states. While a growing body of work cognitive neuroscience characterizes such fluctuations, many studies do not consider these dynamics. Behavioral measures that track ongoing attention memory fluctuations predict upcoming failures demonstrate vary across multiple time scales—at times tandem...
Building on evidence that psychostimulants modulate whole-brain functional connectivity signatures of sustained attention, we examined how a single dose methamphetamine (MA, 20 mg) changes network-level organization and attention in healthy adults. Using within-subject, placebo-controlled design, tested whether MA selectively affects behavioral fMRI arousal. Under MA, participants showed improved task performance as well higher These network emerged consistently across resting-state...
Sustained attention fluctuates over time, affecting task-related processing and memory. However, it is less clear how attentional state affects memory when images are accompanied by irrelevant visual information. We first quantify behavioral signatures of in an online sample (N1=92) demonstrate that presented high states better remembered. Next, we test sustained influences two samples (N2=188, N3=185) task-irrelevant present. show leads to for both task-relevant images. This suggests not a...
Abstract In recent years, the use of a large number object concepts and naturalistic images has been growing enormously in cognitive neuroscience research. Classical databases are based mostly on manually-curated set concepts. Further, typically consist single objects cropped from their background, or uncontrolled varying quality, requiring elaborate manual image curation. Here we provide 1,854 diverse sampled systematically concrete picturable nameable nouns American English language. Using...
Sustained attention is essential for daily life and can be directed to information from different perceptual modalities, including audition vision. Recently, cognitive neuroscience has aimed identify neural predictors of behavior that generalize across datasets. Prior work shown strong generalization models trained predict individual differences in sustained performance patterns fMRI functional connectivity. However, it an open question whether predictions are specific the modality which...
Abstract Heterogeneity in brain activity can give rise to heterogeneity behavior, which turn comprises our distinctive characteristics as individuals. Studying the path from however, often requires making assumptions about how similarity behavior scales with activity. Here, we expand upon recent work (Finn et al., 2020) proposes a theoretical framework for testing validity of such assumptions. Using intersubject representational analysis two independent movie-watching functional MRI (fMRI)...
Abstract Understanding object representations requires a broad, comprehensive sampling of the objects in our visual world with dense measurements brain activity and behavior. Here we present THINGS-data, multimodal collection large-scale neuroimaging behavioral datasets humans, comprising densely-sampled functional MRI magnetoencephalographic recordings, as well 4.70 million similarity judgments response to thousands photographic images for up 1,854 concepts. THINGS-data is unique its...
Abstract Sustained attention is essential for daily life and can be directed to information from different perceptual modalities including audition vision. Recently, cognitive neuroscience has aimed identify neural predictors of behavior that generalize across datasets. Prior work shown strong generalization models trained predict individual differences in sustained performance patterns fMRI functional connectivity. However, it an open question whether predictions are specific the modality...
A detailed understanding of visual object representations in brain and behavior is fundamentally limited by the number stimuli that can be presented any one experiment. Ideally, space objects should sampled a representative manner, with (1) maximal breadth stimulus material (2) minimal bias categories. Such dataset would allow study provide basis for testing comparing computational models vision semantics. Towards this end, we recently developed large-scale image database THINGS more than...
Abstract Heterogeneity in brain activity gives rise to heterogeneity behavior, which turn comprises our distinctive characteristics as individuals. Studying the path from however, often requires making assumptions about how similarity behavior scales with activity. Here, we expand upon recent work proposes a theoretical framework for testing validity of such assumptions. Using intersubject representational analysis two independent movie-watching fMRI datasets, probe brain-behavior...
The ability to maintain attention varies across and within individuals, affecting subsequent memory. How consistent is sustained its impacts on memory for information from different perceptual modalities? Can performance be improved with real-time task manipulations? To ask these questions, we first developed an auditory-visual continuous (avCPT). Online participants (N=110) completed two sessions of the avCPT in which they saw trial-unique scene images paired sounds every 1200 ms (500...