Hippocampal Activity Patterns Carry Information about Objects in Temporal Context

Hsieh, Liang Tien; Gruber, Matthias J.; Jenkins, Lucas J.; Ranganath, Charan

doi:10.1016/j.neuron.2014.01.015

Cited by 335 publications

(452 citation statements)

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“…We propose that time intervals became an implicit temporal associate to the cue-target pairs in associative memory. The cue-based retrieval of the temporal memory trace in turn guided attentional allocation to optimize recognition of the probe as the target item, similarly to how stimulus processing for nontarget items is optimized when it is associated in memory to the target item (Moores et al 2003).Recent studies showed hippocampal involvement in the temporal organization of discontinuous events during memory encoding and retrieval (Staresina and Davachi 2009;Schapiro et al 2012;Hsieh et al 2014). We predict that brain activity related to the implicit memory trace of time in the TPAT also includes the hippocampus.…”

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confidence: 86%

“…Previous studies showed that temporal order of discontinuous events (Tubridy and Davachi 2011;Hsieh et al 2014) and temporal proximity between events (Schwartz et al 2005;Schapiro et al 2012) facilitate memory formation and retrieval. We extend these findings by showing that cue-dependent memory of elapsed time also facilitates retrieval of associated visual objects.…”

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Learned interval time facilitates associate memory retrieval

et al. 2017

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The extent to which time is represented in memory remains underinvestigated. We designed a time paired associate task (TPAT) in which participants implicitly learned cue -time -target associations between cue -target pairs and specific cue -target intervals. During subsequent memory testing, participants showed increased accuracy of identifying matching cue -target pairs if the time interval during testing matched the implicitly learned interval. A control experiment showed that participants had no explicit knowledge about the cue -time associations. We suggest that "elapsed time" can act as a temporal mnemonic associate that can facilitate retrieval of events associated in memory.[Supplemental material is available for this article.]An important contextual feature in memory formation and retrieval is time (Tulving 1985;Polyn and Kahana 2008;Eichenbaum 2014). For example, temporal order binds events in memory, such that participants recognize more items if they are presented in the same order in which they were learned (Schwartz et al. 2005;Tubridy and Davachi 2011;Hsieh and Ranganath 2015). The concept of time can also be studied as "elapsed duration," which may also be stored as part of an event in episodic memory (Eichenbaum 2014). It is unclear how elapsed time is stored in memory, although some recent studies started to tackle this issue. Recent neurophysiological recordings in rats showed data consistent with the idea that medial temporal lobe (MTL) structures, including the hippocampus, code elapsed time (MacDonald et al. 2011). This finding is perhaps related to previous functional magnetic resonance imaging (FMRI) studies showing that the hippocampus uses temporal proximity to bind discontinuous visual events in memory (Schapiro et al. 2012;Hsieh et al. 2014). Yet, human behavioral studies about how elapsed time facilitates memory processes are largely lacking. Therefore, we designed a time paired association task (TPAT) in which participants implicitly learned associations between visual events and particular time intervals. Importantly, participants were not informed about the time intervals. We hypothesized higher accuracy for identifying matching visual events for those trials in which the time interval during testing matched the cue-dependent interval that was previously learned.Participants (N ¼ 41) completed the TPAT in Experiment 1 (see Supplemental Methods). We used colored abstract shapes (size ¼ 5˚× 5˚visual angle; see Supplemental Methods and Supplemental Fig. S1) to minimize conceptual or semantic processing of participants. The shapes were presented as eight different stimulus pairs in which half of the shapes served as memory cues and the other half as memory targets in the TPAT. The task comprised three phases: a passive exposure phase, an active learning phase, and a test phase.In the passive exposure phase, participants were shown the eight cue-target pairs once, with the target always shown after presentation of the cue. All stimuli were shown for 2000 msec.In half of the pairs, the t...

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Learned interval time facilitates associate memory retrieval

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“…Oppenheim, et al, 2010). Of note, both the DLPFC and hippocampus have been implicated consistently in a working memory circuit, especially for item order information (Hsieh, et al, 2011;Hsieh, et al, 2014;Marshuetz, 2005). It is therefore interesting that this minimal working memory circuit was the only significant finding in our fMRI experiment.…”

Section: The Role Of Working Memory In the Semantic Interference Effementioning

confidence: 64%

“…Hippocampal lesions have been shown to impair performance on short-term retention tasks, with the hippocampus playing an important role in working memory more generally (for reviews, see Jonides et al, 2008;Marshuetz, 2005;Ranganath & Blumenfeld, 2005). Of note, both the DLPFC and hippocampus have been implicated consistently in a working memory circuit, especially for item order information (Hsieh, et al, 2011;Hsieh, et al, 2014;Marshuetz, 2005). This network would be consistent with Crowther and Martin's (2014) suggestion that working memory encodes and then tracks items within-cycles, permitting the participant to predict which pictures will appear on subsequent trials.…”

Section: Discussionmentioning

confidence: 99%

“…For example, a much-cited review by Marshuetz (2005) highlighted a network of areas including the dorsolateral prefrontal cortex (DLPFC), hippocampus and parietal cortex (specifically the intraparietal sulcus) involved in item order in working memory. More recent electrophysiological and neuroimaging studies have also implicated the frontal, parietal and hippocampal regions as being involved in working memory tasks requiring item order information (Hsieh, Ekstrom, & Ranganath, 2011;Hsieh, Gruber, Jenkins, & Ranganath, 2014). Therefore, if the interference effect in blocked cyclic naming involves working memory, one would expect to observe activation in some or all of these areas.…”

Section: Neuroanatomical Regions Implicated In Semantic Interferencementioning

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The roles of conceptual feature overlap and distinctiveness during lexical access in spoken word production

Vieth¹

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School of Psychology 2To produce a spoken word we must first retrieve it from memory in a process termed lexical selection. Lexical selection by competition theory proposes that retrieval is a process in which multiple word candidates are activated and compete for selection. While this theory has been prominent for several decades, it has been challenged in recent years by empirical demonstrations of semantic context effects in naming paradigms that are difficult to reconcile with a competitive lexical selection mechanism. These findings have led to novel theoretical accounts being formulated. This dissertation investigates how the structural organization of conceptual information influences spoken word production according to the different theoretical accounts. In simple terms, how are object concepts that we express everyday organized with respect to their constituent features, and how do these features determine semantic context effects in naming paradigms? Using picture-word interference and blocked cyclic paradigms in conjunction with functional neuroimaging, I investigated the potentially different roles that conceptual feature overlap and feature distinctiveness have in influencing semantic context effects in naming. Over three chapters comprising nine experiments, I show recent empirical findings used to challenge the competitive lexical selection account are not replicable. Further, I show that increasing conceptual feature overlap is primarily responsible for slowing naming latencies in semantic contexts. I conclude that a competitive account remains the most viable explanation of lexical selection in speech production. 3 Declaration by authorThis thesis is composed of my original work, and contains no material previously published or written by another person except where due reference has been made in the text. I have clearly stated the contribution by others to jointly-authored works that I have included in my thesis.I have clearly stated the contribution of others to my thesis as a whole, including statistical assistance, survey design, data analysis, significant technical procedures, professional editorial advice, and any other original research work used or reported in my thesis. The content of my thesis is the result of work I have carried out since the commencement of my research higher degree candidature and does not include a substantial part of work that has been submitted to qualify for the award of any other degree or diploma in any university or other tertiary institution. I have clearly stated which parts of my thesis, if any, have been submitted to qualify for another award.I acknowledge that an electronic copy of my thesis must be lodged with the University Library and, subject to the policy and procedures of The University of Queensland, the thesis be made available for research and study in accordance with the Copyright Act 1968 unless a period of embargo has been approved by the Dean of the Graduate School.I acknowledge that copyright of all material contained in my thesis resides w...

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Mean signal and response time influences on multivoxel signals of contextual retrieval in the medial temporal lobe

Reas

Brewer

2014

Brain and Behavior

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IntroductionThe medial temporal lobe supports integrating the “what,” “where,” and “when” of an experience into a unified memory. However, it remains unclear how representations of these contextual features are neurally encoded and distributed across medial temporal lobe subregions.MethodsThis study conducted functional magnetic resonance imaging of the medial temporal lobe, while participants retrieved pair, spatial, and temporal source memories. Multivoxel classifiers were trained to distinguish between retrieval conditions before and after correction for mean signal and response times, to more thoroughly characterize the multivoxel signal associated with memory context.ResultsActivity in perirhinal and parahippocampal cortex dissociated between memory for associated items and memory for their spatiotemporal context, and hippocampal activity was linked to memory for spatial context. However, perirhinal and hippocampal classifiers were, respectively, driven by effects of mean signal amplitude and task difficulty, whereas the parahippocampal classifier survived correction for these effects.ConclusionThese findings demonstrate dissociable coding mechanisms for episodic memory context across the medial temporal lobe, and further highlight a critical distinction between multivoxel representations driven by spatially distributed activity patterns, and those driven by the regional signal.

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Hippocampal Activity Patterns Carry Information about Objects in Temporal Context

Cited by 335 publications

References 87 publications

Learned interval time facilitates associate memory retrieval

Learned interval time facilitates associate memory retrieval

The roles of conceptual feature overlap and distinctiveness during lexical access in spoken word production

Mean signal and response time influences on multivoxel signals of contextual retrieval in the medial temporal lobe

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