The Hippocampal Horizon: Constructing and Segmenting Experience for Episodic Memory DOI
T. W. Ross, Alexander Easton

Neuroscience & Biobehavioral Reviews, Journal Year: 2021, Volume and Issue: 132, P. 181 - 196

Published: Nov. 24, 2021

Language: Английский

Distinct place cell dynamics in CA1 and CA3 encode experience in new environments DOI Creative Commons
Can Dong,

Antoine D. Madar,

Mark Sheffield

et al.

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: May 20, 2021

Abstract When exploring new environments animals form spatial memories that are updated with experience and retrieved upon re-exposure to the same environment. The hippocampus is thought support these memory processes, but how this achieved by different subnetworks such as CA1 CA3 remains unclear. To understand hippocampal representations emerge evolve during familiarization, we performed 2-photon calcium imaging in mice running virtual compared trial-to-trial dynamics of place cells over days. We find fields rapidly tend shift backwards from remap environment a day later. In contrast, gradually show more stable day-to-day dynamics. These results reflect roles processing familiarization constrain potential mechanisms them.

Language: Английский

Citations

161

Schemas, reinforcement learning and the medial prefrontal cortex DOI
Oded Bein, Yael Niv

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

Published: Jan. 7, 2025

Language: Английский

Citations

4

Large language models can segment narrative events similarly to humans DOI
Sebastian Michelmann, M. Kumar, Kenneth A. Norman

et al.

Behavior Research Methods, Journal Year: 2025, Volume and Issue: 57(1)

Published: Jan. 3, 2025

Language: Английский

Citations

3

Behavioral, Physiological, and Neural Signatures of Surprise during Naturalistic Sports Viewing DOI Creative Commons
James W. Antony,

Thomas H. Hartshorne,

Ken Pomeroy

et al.

Neuron, Journal Year: 2020, Volume and Issue: 109(2), P. 377 - 390.e7

Published: Nov. 25, 2020

Language: Английский

Citations

132

Pupil-linked arousal signals track the temporal organization of events in memory DOI Creative Commons
David Clewett, Camille Gasser, Lila Davachi

et al.

Nature Communications, Journal Year: 2020, Volume and Issue: 11(1)

Published: Aug. 11, 2020

Abstract Everyday life unfolds continuously, yet we tend to remember past experiences as discrete event sequences or episodes. Although this phenomenon has been well documented, the neuromechanisms that support transformation of continuous experience into distinct and memorable episodes remain unknown. Here, show changes in context, boundaries, elicit a burst autonomic arousal, indexed by pupil dilation. Event boundaries also lead segmentation adjacent later memory, evidenced memory for temporal duration, order, perceptual details recent sequences. These subjective objective are related features dilations stability more prolonged pupil-linked arousal states. Collectively, our findings suggest measures reflect both change ongoing mental context representations, which turn shape structure memory.

Language: Английский

Citations

127

The brain in motion: How ensemble fluidity drives memory-updating and flexibility DOI Creative Commons
William Mau, Michael E. Hasselmo, Denise J. Cai

et al.

eLife, Journal Year: 2020, Volume and Issue: 9

Published: Dec. 29, 2020

While memories are often thought of as flashbacks to a previous experience, they do not simply conserve veridical representations the past but must continually integrate new information ensure survival in dynamic environments. Therefore, ‘drift’ neural firing patterns, typically construed disruptive ‘instability’ or an undesirable consequence noise, may actually be useful for updating memories. In our view, continual modifications memory reconcile classical theories stable traces with drift. Here we review how updated through recruitment neuronal ensembles on basis excitability and functional connectivity at time learning. Overall, emphasize importance considering static entities, instead flexible network states that reactivate evolve across experience.

Language: Английский

Citations

115

Aging alters neural activity at event boundaries in the hippocampus and Posterior Medial network DOI Creative Commons
Zachariah M. Reagh, Angelique I. Delarazan,

Alexander Garber

et al.

Nature Communications, Journal Year: 2020, Volume and Issue: 11(1)

Published: Aug. 7, 2020

Recent research has highlighted a role for the hippocampus and Posterior Medial cortical network in signaling event boundaries. However, little is known about whether or how these neural processes change over course of healthy aging. Here, 546 cognitively normal participants 18-88 years old viewed short movie while brain activity was measured using fMRI. The regions show increased at boundaries, but boundary-evoked responses decrease with age. Boundary-evoked posterior predicts performance on separate test memory stories, suggesting that hippocampal during segmentation may be broad indicator individual differences episodic ability. In contrast, medial prefrontal cortex middle temporal gyrus increase across age range. These findings suggest aging alter segmenting remembering continuous real-world experiences.

Language: Английский

Citations

106

Transforming the Concept of Memory Reactivation DOI Creative Commons
Serra E. Favila, Hongmi Lee, Brice A. Kuhl

et al.

Trends in Neurosciences, Journal Year: 2020, Volume and Issue: 43(12), P. 939 - 950

Published: Oct. 8, 2020

A foundational finding in the field of memory is that content-sensitive patterns neural activity expressed during perceptual experiences are re-expressed when remembered, a phenomenon termed reactivation. However, reactivation obscures key differences how events and memories represented brain.Recent findings suggest systematic, spatial transformations from perception to retrieval. These occur within sensory cortex frontoparietal cortex.We consider why identify critical questions be addressed future research. Understanding ways which representations differ will critically inform theoretical accounts help clarify brain recreates past. Reactivation refers wherein experience at later time, putative marker memory. content has been observed across many cortical areas correlates with objective subjective expressions humans. because emphasizes similarities between memory-based representations, it represented. Here, we highlight recent evidence systematic (and where) brain. We argue best thought as spatially transformed versions representations. for When remembering an event past, often feels though re-experiencing event, bringing mind sensations, emotions, or thoughts characterized initial experience. This quality paralleled by important phenomenon: (see Glossary) evoked retrieved referred influential tool studying episodic Neural measures have shown predictive accuracy [1.Polyn S.M. et al.Category-specific precedes retrieval search.Science. 2005; 310: 1963-1966Crossref PubMed Scopus (416) Google Scholar, 2.Ritchey M. al.Neural similarity encoding related via hippocampal interactions.Cereb. Cortex. 2013; 23: 2818-2828Crossref 3.Gordon A.M. al.Cortical reinstatement mediates relationship content-specific subsequent recollection decisions.Cereb. 2014; 24: 3350-3364Crossref (76) Scholar], vividness [4.St-Laurent al.Distributed predict recollection.J. Cogn. Neurosci. 2015; 27: 2000-2018Crossref (30) Scholar,5.Kuhl B.A. Chun M.M. Successful elicits event-specific lateral parietal cortex.J. 34: 8051-8060Crossref (99) consequences [6.Kuhl reveals mechanisms updating memory.J. 2012; 32: 3453-3461Crossref (0) 7.Lee H. al.Decomposing remembering.Cereb. 2018; 29: 3305-3318Crossref (6) 8.Chanales A.J.H. al.Interference overlapping predicted states learning.Nat. Commun. 2019; 10: 5363Crossref Scholar]. Another notable aspect can measured contexts such rest [9.Tambini A. Davachi L. Persistence multivoxel into postencoding memory.Proc. Natl. Acad. Sci. U. S. 110: 19591-19596Crossref (92) 10.Schlichting M.L. Preston A.R. Memory supports upcoming learning content.Proc. 111: 15845-15850Crossref 11.Schapiro A.C. al.Human replay prioritizes weakly learned information predicts performance.Nat. 9: 3920Crossref (27) Scholar] sleep [12.Rudoy J.D. al.Strengthening individual reactivating them sleep.Science. 2009; 326: 1079Crossref (275) Scholar,13.Antony J.W. al.Cued influences skill 15: 1114-1116Crossref (151) behavioral recordings not feasible. Over past two decades, there tremendous advances both computational sophistication sensitivity methods used measure (Box 1), but these exploit same fundamental 'match' While this emphasis on appealing unquestionably important, here also provides incomplete view contents In particular, reactivation, definition, tests retrieval, necessarily fails capture memory.Box 1Methods Approaches Detecting ReactivationNoninvasive Neuroimaging MethodsMemory extensively studied using noninvasive imaging techniques [e.g., fMRI, electroencephalography (EEG), magnetoencephalography], simultaneously record population large parts Below, detail several popular analytic approaches measuring neuroimaging data. All test profiles activation Notably, applied varying levels specificity: stimulus category (e.g., faces vs scenes objects), specific exemplar apple butterfly), feature value color: red yellow).Univariate ActivationBrain regions identified mean level varies according content. demonstrated exhibiting similar (changes level) [19.Wheeler M.E. al.Memory's echo: vivid reactivates sensory-specific cortex.Proc. 2000; 97: 11125-11129Crossref Scholar].Pattern SimilarityNeural (activity voxels sensors) region. Patterns then region correlation pattern corresponding exceeding noncorresponding [2.Ritchey Scholar,84.Staresina B.P. al.Episodic medial temporal lobe.J. 18150-18156Crossref (106) Scholar].Decoding ModelsSupervised models trained learn mapping stimuli classes perception. tested classifier transfer (i.e., perception-trained model accurately labeling memory) Scholar,22.Kuhl al.Fidelity competition memories.Proc. 2011; 108: 5903-5908Crossref Scholar].Encoding ModelsModels specify mathematical relationships physical properties pixel values) fit data if parameters generalize retrieval) [85.Senden al.Reconstructing imagined letters early visual tight topographic correspondence mental imagery perception.Brain Struct. Funct. 224: 1167-1183Crossref (11) Predicted decode remembered (encoding–decoding) [24.Naselaris T. al.A voxel-wise decodes images scenes.NeuroImage. 105: 215-228Crossref (101) Scholar,25.Bone M.B. al.Feature-specific memory.Nat. 2020; 11: 1945Crossref inverted reconstruct (inverted model) [46.Ester E.F. al.Parietal frontal encode stimulus-specific mnemonic working memory.Neuron. 87: 893-905Abstract Full Text PDF (148) Scholar].Invasive Physiological Optogenetic MethodsWhile current article focuses methods, benefit large-scale coverage brain, all aforementioned local potential single-cell electrophysiological invasively humans (when treated neurological diseases requiring electrode implants) [86.Schreiner Staudigl Electrophysiological signatures humans.Phil. Trans. R. Soc. B Biol. 37520190293Crossref (2) animal experiments. Other approaches, high-density recordings, more prevalent some restricted For example, single-unit datasets collected rodents essential characterizing replay, temporally structured firing sequences [62.Ólafsdóttir H.F. al.The role planning.Curr. 28: R37-R50Abstract (55) Only recently [87.Vaz A.P. al.Replay spiking human retrieval.Science. 367: 1131-1134Crossref techniques, applicable studies solely, revealed experimentally induced sufficient evoke behavior [88.Josselyn S.A. Tonegawa engrams: recalling imagining future.Science. 367eaaw4325Crossref (39) Noninvasive Methods yellow). Univariate Activation Brain Pattern Similarity Decoding Models Supervised Encoding Invasive One obvious way might terms amount they contain, presumably being weaker degraded version Empirically, manifest, reduced ability compared number clear violations idea: specifically, contain about perceptually experienced [14.Steel al.An interface scene posterior cerebral cortex.bioRxiv. (Published online May 26, 2020. https://doi.org/10.1101/2020.05.25.115147)PubMed 15.Long N.M. al.Hippocampal mismatch signals modulated strength predictions their outcomes.J. 2016; 36: 12677-12687Crossref (22) 16.Xiao X. al.Transformed retrieval.J. 2017; 37: 2986-2998Crossref (24) 17.Favila S.E. features amplified flexibly aligned top-down goals.J. 38: 7809-7821Crossref (3) The implication only whether those perception, systematically underestimate amount, strength, qualities opinion article, emerging originally use idea transformation emphasize information: (i) different and, (ii) localization (or predictable) opposed random noise signal degradation (Figure 1). possibility has, date, overshadowed dominant note cognitive theories long argued constructive act than reproductive [18.Schacter D.L. neuroscience memory.Annu. Rev. Psychol. 1998; 49: 289-318Crossref Thus, strong motivation moving beyond measurements index degree resemble toward characterize sections describe supporting proposal avenues understanding perception-to-memory (spatial otherwise) represents logical, timely, next step field. reported most frequently particular. Early active demonstrating coarse-level modality vision versus audition). More recently, established increasingly fine-grained areas. numerous ventral reflect face object) reactivated Scholar,20.Ranganath C. al.Inferior temporal, prefrontal, contributions maintenance associative 2004; 3917-3925Crossref (251) 21.O'Craven K.M. Kanwisher N. Mental places activates regions.J. 12: 1013-1023Crossref (638) 22.Kuhl Further, V1) low-level location, frequency, edges, orientation, [23.Kosslyn al.Topographical primary cortex.Nature. 1995; 378: 496-498Crossref 24.Naselaris 25.Bone 26.Bosch al.Reinstatement signaled hippocampus.J. 7493-7500Crossref (62) common thread among examples Yet, results subtle, found scene-selective responses located meta-analysis over 100 functional magnetic resonance (fMRI) recruits relatively aspects parahippocampal place area (PPA), whereas retrieving anterior PPA [27.Baldassano al.Two distinct scene-processing networks connecting memory.eNeuro. 3 (ENEURO.0178-16.2016)Crossref unpublished study, striking dissociation was replicated paradigm directly within-subjects design Similar (perception) (memory shifts other areas, including occipital Scholar,28.Silson E.H. posterior–anterior distinction construction 39: 705-717Crossref Resting state fMRI analyses ventral, lateral, connectivity consistent supported segregated Scholar,27.Baldassano 28.Silson 29.Baldassano al.Differential area.NeuroImage. 75: 228-237Crossref (84) Related work suggested posterior-to-anterior division extends scenes, objects, outside network [30.Lee S.H. al.Disentangling real-world objects.NeuroImage. 59: 4064-4073Crossref (89) Scholar,31.Bainbridge W.A. al.Distinct representational structure recall imagery.bioRxiv. April 21, https://doi.org/10.1101/842120)Google Collectively, reveal shift system. Specifically, preferentially cortex, depending currently available receptors recalled long-term Importantly, fact system do perceived fundamentally inconsistent Moreover, highly (as degradation) regions. As such, strongly manner Though consistently applications pattern-based analysis robust, [5.Kuhl Scholar,7.Lee 3305-3

Language: Английский

Citations

97

Is Activity Silent Working Memory Simply Episodic Memory? DOI
Andre Beukers, Timothy J. Buschman, Jonathan D. Cohen

et al.

Trends in Cognitive Sciences, Journal Year: 2021, Volume and Issue: 25(4), P. 284 - 293

Published: Feb. 5, 2021

Language: Английский

Citations

84

The Continuity of Context: A Role for the Hippocampus DOI
Andrew P. Maurer,

Lynn Nadel

Trends in Cognitive Sciences, Journal Year: 2021, Volume and Issue: 25(3), P. 187 - 199

Published: Jan. 12, 2021

Language: Английский

Citations

75