Flexible reuse of cortico-hippocampal representations during encoding and recall of naturalistic events

Nature Communications, Год журнала: 2023, Номер 14(1)

Опубликована: Март 8, 2023

Abstract Although every life event is unique, there are considerable commonalities across events. However, little known about whether or how the brain flexibly represents information different components at encoding and during remembering. Here, we show that cortico-hippocampal networks systematically represent specific of events depicted in videos, both online experience episodic memory retrieval. Regions an Anterior Temporal Network represented people, generalizing contexts, whereas regions a Posterior Medial context information, people. prefrontal cortex generalized videos depicting same schema, hippocampus maintained event-specific representations. Similar effects were seen real-time recall, suggesting reuse overlapping memories. These representational profiles together provide computationally optimal strategy to scaffold for high-level components, allowing efficient comprehension, recollection, imagination.

Язык: Английский

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Schemas, reinforcement learning and the medial prefrontal cortex

Nature reviews. Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Янв. 7, 2025

Язык: Английский

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Large language models can segment narrative events similarly to humans

Behavior Research Methods, Год журнала: 2025, Номер 57(1)

Опубликована: Янв. 3, 2025

Язык: Английский

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Deep language algorithms predict semantic comprehension from brain activity

Scientific Reports, Год журнала: 2022, Номер 12(1)

Опубликована: Сен. 29, 2022

Abstract Deep language algorithms, like GPT-2, have demonstrated remarkable abilities to process text, and now constitute the backbone of automatic translation, summarization dialogue. However, whether these models encode information that relates human comprehension still remains controversial. Here, we show representations GPT-2 not only map onto brain responses spoken stories, but they also predict extent which subjects understand corresponding narratives. To this end, analyze 101 recorded with functional Magnetic Resonance Imaging while listening 70 min short stories. We then fit a linear mapping model activity from GPT-2’s activations. Finally, reliably correlates ( $$\mathcal {R}=0.50, p<10^{-15}$$ R=0.50,p<10-15 ) subjects’ scores as assessed for each story. This effect peaks in angular, medial temporal supra-marginal gyri, is best accounted by long-distance dependencies generated deep layers GPT-2. Overall, study shows how help clarify computations underlying comprehension.

Язык: Английский

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Evidence That Event Boundaries Are Access Points for Memory Retrieval

Psychological Science, Год журнала: 2023, Номер 34(3), С. 326 - 344

Опубликована: Янв. 3, 2023

When recalling memories, we often scan information-rich continuous episodes, for example, to find our keys. How does brain access and search through those memories? We suggest that high-level structure, marked by event boundaries, guides us this process: In computational model, memory scanning is sped up skipping ahead the next boundary upon reaching a decision threshold. adult Mechanical Turk workers from United States, used movie (normed boundaries; Study 1,

Язык: Английский

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Goal-oriented representations in the human hippocampus during planning and navigation

Nature Communications, Год журнала: 2023, Номер 14(1)

Опубликована: Май 23, 2023

Abstract Recent work in cognitive and systems neuroscience has suggested that the hippocampus might support planning, imagination, navigation by forming maps capture abstract structure of physical spaces, tasks, situations. Navigation involves disambiguating similar contexts, planning execution a sequence decisions to reach goal. Here, we examine hippocampal activity patterns humans during goal-directed task investigate how contextual goal information are incorporated construction navigational plans. During pattern similarity is enhanced across routes share context navigation, observe prospective activation reflects retrieval related key-decision point. These results suggest that, rather than simply representing overlapping associations or state transitions, shaped goals.

Язык: Английский

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Hippocampal-cortical interactions during event boundaries support retention of complex narrative events

Neuron, Год журнала: 2023, Номер 112(2), С. 319 - 330.e7

Опубликована: Ноя. 8, 2023

Язык: Английский

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Reconciling shared versus context-specific information in a neural network model of latent causes

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июль 22, 2024

Abstract It has been proposed that, when processing a stream of events, humans divide their experiences in terms inferred latent causes (LCs) to support context-dependent learning. However, shared structure is present across contexts, it still unclear how the “splitting” LCs and learning can be simultaneously achieved. Here, we Latent Cause Network (LCNet), neural network model LC inference. Through learning, naturally stores that tasks weights. Additionally, represents context-specific using context module, controlled by Bayesian nonparametric inference algorithm, which assigns unique vector for each LC. Across three simulations, found LCNet could (1) extract function task while avoiding catastrophic interference, (2) capture human data on curriculum effects schema (3) infer underlying event naturalistic videos daily events. Overall, these results demonstrate computationally feasible approach reconciling scalable from laboratory experiment settings settings.

Язык: Английский

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Fast-timescale hippocampal processes bridge between slowly unfurling neocortical states during memory search

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Фев. 13, 2025

Prior behavioral work showed that event structure plays a key role in our ability to mentally search through memories of continuous naturalistic experience. We hypothesized that, neurally, this mem- ory process involves division labor between slowly un- furling neocortical states representing knowledge and fast hippocampal-neocortical communication supports retrieval new information at transitions events. To test this, we tracked slow neural state-patterns sample ten patients under- going intracranial electroencephalography as they viewed movie then searched their structured in- terview. As answered questions ("after X, when does Y happen next?"), from movie-viewing were reinstated neocortex; during memory-search, unfurled forward di- rection. Moments state-transition marked by low-frequency power decreases cortex preceded hip- pocampus correlated with reinstatement. Connectivity-analysis revealed information-flow hippocampus underpinning state-transitions. Together, these results support hypothesis hippocampal processes bridge memory search.

Язык: Английский

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Narrative thinking lingers in spontaneous thought

Nature Communications, Год журнала: 2022, Номер 13(1)

Опубликована: Авг. 6, 2022

Abstract Some experiences linger in mind, spontaneously returning to our thoughts for minutes after their conclusion. Other fall out of mind immediately. It remains unclear why. We hypothesize that an input is more likely persist when it has been deeply processed: we have extracted its situational meaning rather than physical properties or low-level semantics. Here, participants read sequences words with different levels coherence (word-, sentence-, narrative-level). probe participants’ spontaneous via free word association, before and reading. By measuring lingering subjectively (via self-report) objectively changes association content), find information lingers coherent at the narrative level. Furthermore, individual’s feeling transportation into reading material predicts better material’s objective coherence. Thus, present moment echo prior incorporated deeper, forms thinking.

Язык: Английский

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