The Same Hippocampal CA1 Population Simultaneously Codes Temporal Information over Multiple Timescales

Mau, William; Sullivan, David W.; Kinsky, Nathaniel R.; Hasselmo, Michael E.; Howard, Marc W.; Eichenbaum, Howard

doi:10.1016/j.cub.2018.03.051

Cited by 187 publications

(273 citation statements)

References 56 publications

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“…Neuron regions-of-interest (ROIs) and calcium events were identified using a custom written, open source algorithm employed in MATLAB 2016b called A T echnique for E xtracting N euronal A ctivity from S ingle P hoton N euronal I mage S equences (Tenaspsis) [56]. Tenaspis is open-source and available at: https://github.com/SharpWave/TENASPIS.…”

Section: Star Methodsmentioning

confidence: 99%

Hippocampal Place Fields Maintain a Coherent and Flexible Map across Long Timescales

et al. 2018

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Summary To provide a substrate for remembering where in space events have occurred, place cells must reliably encode the same positions across long time scales. However, in many cases place cells exhibit instability by randomly reorganizing their place fields between experiences, challenging this premise. Recent evidence suggests that, in some cases, instability could also arise from coherent rotations of place fields, as well as from random reorganization. To investigate this possibility, we performed in vivo calcium imaging in dorsal hippocampal region CA1 of freely moving mice while they explored two arenas with different geometry and visual cues across eight days. The two arenas were rotated randomly between sessions, and then connected, allowing us to probe how cue rotations, the integration of new information about the environment, and the passage of time concurrently influenced the spatial coherence of place fields. We found that spatially coherent rotations of place field maps in the same arena predominated, persisting up to six days later, and that they frequently rotated in a manner that did not match that of the arena rotation. Furthermore, place field maps were flexible, as mice frequently employed a similar, coherent configuration of place fields to represent each arena despite their differing geometry and eventual connection. These results highlight the ability of the hippocampus to retain consistent relationships between cells across long time scales and suggest that, in many cases, apparent instability might result from a coherent rotation of place fields.

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Section: Star Methodsmentioning

confidence: 99%

Hippocampal Place Fields Maintain a Coherent and Flexible Map across Long Timescales

et al. 2018

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“…What has emerged from this body of work is a remarkable synergy between findings in humans and animals, thereby underscoring the evolutionarily conserved roles of these structures in episodic memory organization (Eichenbaum, ; Panoz‐Brown et al, , ; Preston & Eichenbaum, ). This research has also drawn intriguing parallels between the brain mechanisms that link events together either during learning or after longer delays (Schlichting & Frankland, ), raising the possibility that similar or complementary mechanisms are involved in the formation and integration of episodic memories at different timescales (Mau et al, ; Nielson, Smith, Sreekumar, Dennis, & Sederberg, ; Wirt & Hyman, ).…”

Section: Introductionmentioning

confidence: 99%

Transcending time in the brain: How event memories are constructed from experience

2019

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Our daily lives unfold continuously, yet when we reflect on the past, we remember those experiences as distinct and cohesive events. To understand this phenomenon, early investigations focused on how and when individuals perceive natural breakpoints, or boundaries, in ongoing experience. More recent research has examined how these boundaries modulate brain mechanisms that support long-term episodic memory. This work has revealed that a complex interplay between hippocampus and prefrontal cortex promotes the integration and separation of sequential information to help organize our experiences into mnemonic events. Here, we discuss how both temporal stability and change in one’s thoughts, goals, and surroundings may provide scaffolding for these neural processes to link and separate memories across time. When learning novel or familiar sequences of information, dynamic hippocampal processes may work both independently from and in concert with other brain regions to bind sequential representations together in memory. The formation and storage of discrete episodic memories may occur both proactively as an experience unfolds. They may also occur retroactively, either during a context shift or when reactivation mechanisms bring the past into the present to allow integration. We also describe conditions and factors that shape the construction and integration of event memories across different timescales. Together these findings shed new light on how the brain transcends time to transform everyday experiences into meaningful memory representations.

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“…Episodic memories are defined as events occurring at a specific place and time (Hasselmo, ; Tulving, ). Consistent with the role of these structures in encoding episodic memories, recent experiments have shown that the same neurons that code spatial location in the hippocampus and entorhinal cortex will also code time intervals in behavioral tasks (Heys & Dombeck, ; Kraus et al, ; Kraus, Robinson 2nd, White, Eichenbaum, & Hasselmo, ; MacDonald, Lepage, Eden, & Eichenbaum, ; Mau et al, ; McEchron, Tseng, & Disterhoft, ; Pastalkova, Itskov, Amarasingham, & Buzsaki, ). For example, both place cells and grid cells will fire at a specific time interval as a rodent runs on a treadmill.…”

Section: Introductionmentioning

confidence: 84%

Overview of computational models of hippocampus and related structures: Introduction to the special issue

et al. 2020

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Extensive computational modeling has focused on the hippocampal formation and associated cortical structures. This overview describes some of the factors that have motivated the strong focus on these structures, including major experimental findings and their impact on computational models. This overview provides a framework for describing the topics addressed by individual articles in this special issue of the journal Hippocampus.

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The Same Hippocampal CA1 Population Simultaneously Codes Temporal Information over Multiple Timescales

Cited by 187 publications

References 56 publications

Hippocampal Place Fields Maintain a Coherent and Flexible Map across Long Timescales

Hippocampal Place Fields Maintain a Coherent and Flexible Map across Long Timescales

Transcending time in the brain: How event memories are constructed from experience

Overview of computational models of hippocampus and related structures: Introduction to the special issue

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