Cognitive neuroscience perspective on memory: overview and summary

Frontiers in Human Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: July 26, 2023

This paper explores memory from a cognitive neuroscience perspective and examines associated neural mechanisms. It the different types of memory: working, declarative, non-declarative, brain regions involved in each type. The highlights role regions, such as prefrontal cortex working hippocampus declarative memory. also mechanisms that underlie formation consolidation memory, including importance sleep linking new memories to existing schemata. two processes: cellular system consolidation. Cellular is process stabilizing information by strengthening synaptic connections. System models suggest are initially stored gradually consolidated into neocortex over time. involves hippocampal-neocortical binding incorporating newly acquired medial temporal lobe its involvement autobiographical Further, discusses relationship between episodic semantic hippocampus. Finally, underscores need for further research neurobiological underlying non-declarative particularly conditioning. Overall, provides comprehensive overview processes

Language: Английский

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Representational formats of human memory traces

Brain Structure and Function, Journal Year: 2023, Volume and Issue: 229(3), P. 513 - 529

Published: April 6, 2023

Abstract Neural representations are internal brain states that constitute the brain’s model of external world or some its features. In presence sensory input, a representation may reflect various properties this input. When perceptual information is no longer available, can still activate previously experienced episodes due to formation memory traces. review, we aim at characterizing nature neural and how they be assessed with cognitive neuroscience methods, mainly focusing on neuroimaging. We discuss multivariate analysis techniques such as representational similarity (RSA) deep networks (DNNs) leveraged gain insights into structure their different formats. provide several examples recent studies which demonstrate able not only measure using RSA but also investigate multiple formats DNNs. in addition slow generalization during consolidation, subject semantization already short-term memory, by revealing shift from visual semantic format. conceptual formats, describe impact affective evaluations an additional dimension episodic memories. Overall, these illustrate help us deeper understanding human memory.

Language: Английский

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Dynamic neural representations of memory and space during human ambulatory navigation

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Oct. 20, 2023

Abstract Our ability to recall memories of personal experiences is an essential part daily life. These episodic often involve movement through space and thus require continuous encoding one’s position relative the surrounding environment. The medial temporal lobe (MTL) thought be critically involved, based on studies in freely moving rodents stationary humans. However, it remains unclear if how MTL represents both memory especially during physical navigation, given challenges associated with deep brain recordings humans movement. We recorded intracranial electroencephalographic (iEEG) activity while participants completed ambulatory spatial task within immersive virtual reality theta was modulated by successful retrieval or positions environment, depending dynamically changing behavioral goals. Altogether, these results demonstrate human oscillations can represent a temporally flexible manner navigation.

Language: Английский

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From remembering to reconstruction: The transformative neural representation of episodic memory

Progress in Neurobiology, Journal Year: 2022, Volume and Issue: 219, P. 102351 - 102351

Published: Sept. 8, 2022

Language: Английский

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Item-specific neural representations during human sleep support long-term memory

PLoS Biology, Journal Year: 2023, Volume and Issue: 21(11), P. e3002399 - e3002399

Published: Nov. 20, 2023

Understanding how individual memories are reactivated during sleep is essential in theorizing memory consolidation. Here, we employed the targeted reactivation (TMR) paradigm to unobtrusively replaying auditory cues human participants' slow-wave (SWS). Using representational similarity analysis (RSA) on cue-elicited electroencephalogram (EEG), found temporally segregated and functionally distinct item-specific neural representations: early post-cue EEG activity (within 0 2,000 ms) contained comparable representations for control cues, signifying effective processing of cues. Critically, later (2,500 2,960 showed greater post-sleep remembered items than forgotten indicating reprocessing. Moreover, these were supported by concurrently increased spindles, particularly that had not been tested prior sleep. These findings elucidated external triggered SWS such linked successful long-term memory. results will benefit future research aiming perturb specific episodes

Language: Английский

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Maintenance and transformation of representational formats during working memory prioritization

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

Published: Sept. 19, 2024

Language: Английский

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Evolutionary Reinforcement Learning: A Systematic Review and Future Directions

Mathematics, Journal Year: 2025, Volume and Issue: 13(5), P. 833 - 833

Published: March 2, 2025

In response to the limitations of reinforcement learning and Evolutionary Algorithms (EAs) in complex problem-solving, Reinforcement Learning (EvoRL) has emerged as a synergistic solution. This systematic review aims provide comprehensive analysis EvoRL, examining symbiotic relationship between EAs algorithms identifying critical gaps relevant application tasks. The begins by outlining technological foundations detailing complementary address learning, such parameter sensitivity, sparse rewards, its susceptibility local optima. We then delve into challenges faced both exploring utility EvoRL. EvoRL itself is constrained sampling efficiency algorithmic complexity, which affect areas like robotic control large-scale industrial settings. Furthermore, we significant open issues field, adversarial robustness, fairness, ethical considerations. Finally, propose future directions for emphasizing research avenues that strive enhance self-adaptation, self-improvement, scalability, interpretability, so on. To quantify current state, analyzed about 100 studies, categorizing them based on algorithms, performance metrics, benchmark Serving resource researchers practitioners, this provides insights state offers guide advancing capabilities ever-evolving landscape artificial intelligence.

Language: Английский

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Memory consolidation accelerates

Nature Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Language: Английский

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Intersubject neural similarity reveals the development trajectory of recognition memory in children

Developmental Cognitive Neuroscience, Journal Year: 2025, Volume and Issue: unknown, P. 101553 - 101553

Published: March 1, 2025

Recognition memory improves with child development, but the neural mechanisms underlying such improvement and developmental variation remain poorly understood. Herein, we investigated how representations during encoding retrieval phases of recognition change age, using representational similarity analysis in a sample children aged 6-13 years (n = 137). Our results indicated that have distinct patterns development. Similarly, model-free approach, confirmed there is key stage (about 9-10 old) for representation phase, whereas phase tends to be stable Additionally, identified between primarily located left parietal-occipital region. Overall, these findings refine process enhance our understanding memory.

Language: Английский

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Continuously changing memories: a framework for proactive and non-linear consolidation

Trends in Neurosciences, Journal Year: 2022, Volume and Issue: 46(1), P. 8 - 19

Published: Nov. 22, 2022

Language: Английский

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