The default mode network: where the idiosyncratic self meets the shared social world

Nature reviews. Neuroscience, Journal Year: 2021, Volume and Issue: 22(3), P. 181 - 192

Published: Jan. 22, 2021

Language: Английский

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Extensive sampling for complete models of individual brains

Current Opinion in Behavioral Sciences, Journal Year: 2021, Volume and Issue: 40, P. 45 - 51

Published: Jan. 23, 2021

Language: Английский

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The neurobiology of drug addiction: cross-species insights into the dysfunction and recovery of the prefrontal cortex

Neuropsychopharmacology, Journal Year: 2021, Volume and Issue: 47(1), P. 276 - 291

Published: Aug. 18, 2021

Language: Английский

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

Scientific Data, Journal Year: 2021, Volume and Issue: 8(1)

Published: Sept. 28, 2021

The "Narratives" collection aggregates a variety of functional MRI datasets collected while human subjects listened to naturalistic spoken stories. current release includes 345 subjects, 891 scans, and 27 diverse stories varying duration totaling ~4.6 hours unique stimuli (~43,000 words). This data is well-suited for neuroimaging analysis, intended serve as benchmark models language narrative comprehension. We provide standardized accompanied by rich metadata, preprocessed versions the ready immediate use, story with time-stamped phoneme- word-level transcripts. All code are publicly available full provenance in keeping best practices transparent reproducible neuroimaging.

Language: Английский

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Mobile cognition: imaging the human brain in the ‘real world’

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(6), P. 347 - 362

Published: April 12, 2023

Language: Английский

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Beyond simple laboratory studies: Developing sophisticated models to study rich behavior

Physics of Life Reviews, Journal Year: 2023, Volume and Issue: 46, P. 220 - 244

Published: July 13, 2023

Psychology and neuroscience are concerned with the study of behavior, internal cognitive processes, their neural foundations. However, most laboratory studies use constrained experimental settings that greatly limit range behaviors can be expressed. While focusing on restricted ensures methodological control, it risks impoverishing object study: by restricting we might miss key aspects function. In this article, argue psychology should increasingly adopt innovative designs, measurement methods, analysis techniques sophisticated computational models to probe rich, ecologically valid forms including social behavior. We discuss challenges studying rich behavior as well novel opportunities offered state-of-the-art methodologies new sensing technologies, highlight importance developing formal models. exemplify our arguments reviewing some recent streams research in psychology, other fields (e.g., sports analytics, ethology robotics) have addressed a model-based manner. hope these "success cases" will encourage psychologists neuroscientists extend toolbox behavioral – them processes they engage.

Language: Английский

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Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: March 30, 2024

Contextual embeddings, derived from deep language models (DLMs), provide a continuous vectorial representation of language. This embedding space differs fundamentally the symbolic representations posited by traditional psycholinguistics. We hypothesize that areas in human brain, similar to DLMs, rely on represent To test this hypothesis, we densely record neural activity patterns inferior frontal gyrus (IFG) three participants using dense intracranial arrays while they listened 30-minute podcast. From these fine-grained spatiotemporal recordings, derive for each word (i.e., brain embedding) patient. Using stringent zero-shot mapping demonstrate embeddings IFG and DLM contextual have common geometric patterns. The allow us predict given left-out based solely its geometrical relationship other non-overlapping words Furthermore, show capture geometry better than static embeddings. exposes vector-based code natural processing brain.

Language: Английский

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Naturalistic Stimuli in Affective Neuroimaging: A Review

Frontiers in Human Neuroscience, Journal Year: 2021, Volume and Issue: 15

Published: June 17, 2021

Naturalistic stimuli such as movies, music, and spoken written stories elicit strong emotions allow brain imaging of in close-to-real-life conditions. Emotions are multi-component phenomena: relevant lead to automatic changes multiple functional components including perception, physiology, behavior, conscious experiences. Brain activity during naturalistic reflects all these changes, suggesting that parsing emotion-related processing complex stimulation is not a straightforward task. Here, I review affective neuroimaging studies have employed study emotional processing, focusing especially on experienced emotions. argue investigate with stimuli, we need define extract emotion features from both the stimulus observer.

Language: Английский

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The Treachery of Images: How Realism Influences Brain and Behavior

Trends in Cognitive Sciences, Journal Year: 2021, Volume and Issue: 25(6), P. 506 - 519

Published: March 25, 2021

Language: Английский

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Synchrony in the periphery: inter-subject correlation of physiological responses during live music concerts

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: Nov. 17, 2021

While there is an increasing shift in cognitive science to study perception of naturalistic stimuli, this extends goal contexts by assessing physiological synchrony across audience members a concert setting. Cardiorespiratory, skin conductance, and facial muscle responses were measured from participants attending live string quintet performances full-length works Viennese Classical, Contemporary, Romantic styles. The was repeated on three consecutive days with different audiences. Using inter-subject correlation (ISC) identify reliable music, we found that highly correlated depicted typical signatures arousal. By relating ISC quantitative values music features, logistic regressions revealed high consistently predicted faster tempi (which had higher ratings arousing emotions engagement), but only Classical styles (rated as familiar) not the Contemporary style unfamiliar). Additionally, synchronised all audiences occurred during important structural moments music-identified using theoretical analysis-namely at transitional passages, boundaries, phrase repetitions. Overall, our results show specific features induce similar context, which are linked arousal, engagement, familiarity.

Language: Английский

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