Temporally Structured Replay of Awake Hippocampal Ensemble Activity during Rapid Eye Movement Sleep

Louie, Kenway; Wilson, Matthew A.

doi:10.1016/s0896-6273(01)00186-6

Cited by 1,006 publications

(809 citation statements)

References 35 publications

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“…Accordingly in humans, post-training modifications of sleep parameters are also observed after conditioning in babies, but only when the stimulus-response association had been successfully learned (Paul and Dittrichova, 1975). At the systems level, experience-dependent replay of neuronal activity during REM sleep has been already demonstrated in animals (Poe et al, 2000;Louie and Wilson, 2001), but not yet proven behaviorally relevant since the link between the performance and the ensuing neural pattern during sleep has never been demonstrated (Peigneux et al, 2001). Here, we provide the first evidence that the strength of rCBF reactivation during post-training REM sleep depends on prior learning level in humans.…”

Section: Does the Level Of Learning Modulate Regional Brain Activitymentioning

confidence: 66%

“…These processes would thus promote dynamic plastic changes in neuronal populations previously engaged in memory acquisition (Maquet, 2001). Consistently with this hypothesis, several animal studies have shown that neural activity expressed during waking behavior is reinstated during subsequent sleep (e.g., Wilson and McNaughton, 1994;Skaggs and McNaughton, 1996;Qin et al, 1997;Nadasdy et al, 1999;Louie and Wilson, 2001). …”

Section: Introductionmentioning

confidence: 63%

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Learned material content and acquisition level modulate cerebral reactivation during posttraining rapid-eye-movements sleep

et al. 2003

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Section: Does the Level Of Learning Modulate Regional Brain Activitymentioning

confidence: 66%

Section: Introductionmentioning

confidence: 63%

Learned material content and acquisition level modulate cerebral reactivation during posttraining rapid-eye-movements sleep

et al. 2003

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“…The exact beginning and end points were adjusted manually. Using slightly different detection criteria 49 resulted in the definition of similar theta epochs.…”

Section: Analysis Of Network Oscillationsmentioning

confidence: 99%

Behavior-dependent specialization of identified hippocampal interneurons

et al. 2012

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A large variety of GABAergic interneurons control information processing in hippocampal circuits governing the formation of neuronal representations. Whether distinct hippocampal interneuron types contribute differentially to information-processing during behavior is not known. We employed a novel technique for recording and labeling interneurons and pyramidal cells in drug-free, freely-moving rats. Recorded parvalbumin-expressing basket interneurons innervate somata and proximal pyramidal cell dendrites, whereas nitric-oxide-synthase-and neuropeptide-Y-expressing ivy cells provide synaptic and extrasynaptic dendritic modulation. Basket and ivy cells showed distinct spike timing dynamics, firing at different rates and times during theta and ripple oscillations. Basket but not ivy cells changed their firing rates during movement, sleep and quiet wakefulness, suggesting that basket cells coordinate cell assemblies in a behavioral state-contingent manner, whereas persistently-firing ivy cells might control network excitability and homeostasis. Different interneuron types provide GABA to specific subcellular domains at defined times and rates, thus differentially controlling network activity during behavior.GABAergic interneurons control information processing in cortical circuits as percussionists set the rhythm for a melody, or traffic lights regulate the movement of cars through a city. Interneurons generate oscillatory activity 1, 2 , synchronize the activity of pyramidal cells 3 and set time windows for synaptic integration 4 . A large diversity of interneuronal types is a hallmark of cortical circuits. Different domains of pyramidal cells, such as the soma, axoninitial-segment, proximal or distal dendrites 5 are innervated by distinct types of GABAergic interneuron. They also have distinct inputs and membrane properties 6-10 and show different firing patterns during network oscillations induced in vitro [11][12][13][14] or recorded in anesthetized animals 15 , indicating distinct roles for specific interneuron types. However, research on interneurons in drug-free animals that can freely change their behavior, has so far been limited to recordings from unidentified interneurons because of technical limitations. In the barrel cortex of head-restrained mice, groups of interneurons with distinct membrane dynamics during different behavioral states have been described 16,17 and in the hippocampus unidentified interneurons or interneurons belonging to heterogeneous groups expressing parvalbumin and/or somatostatin have been reported [18][19][20][21] to fire with different firing patterns during network oscillations. But, how do specific types of identified interneurons control the activity of cortical circuits in freely-moving animals? CouldCorrespondence and requests for materials should be addressed to D.L. (damien.lapray@pharm.ox.ac.uk) Results Identification of neurons recorded in freely-moving ratsWe recorded the activity of parvalbumin (PV)-expressing basket, ivy and pyramidal cells in the dorsal CA...

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“…There is also some evidence for replay of representations during REM sleep as well [96,161,164]. Intriguingly, replay of familiar and novel memories occur at different phases of the theta rhythm: novel memories are replayed at the peak of REM-theta, while familiar memories are replayed at the trough [164].…”

Section: A1 Hippocampal Representational Replaymentioning

confidence: 99%

The hippocampal debate: are we asking the right questions?

Redish

2001

Behavioural Brain Research

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For years, the debate has been: 'Is the hippocampus the cognitive map?' or 'Is the hippocampus the core of memory?' These two hypotheses derived their original power from two key experiments-the cognitive map theory from the remarkable spatial correlates seen in recordings of hippocampal pyramidal cells and the memory theory from the profound amnesias seen in the patient H.M. Both of these key experiments have been reinterpreted over the years: hippocampal cells are correlated with much more than place and H.M. is missing much more than just his hippocampus. However, both theories are still debated today. The hippocampus clearly plays a role in both navigation and memory processing. The question that must be addressed is rather: 'What is the role played by the hippocampus in the navigation and memory systems?' By looking at the navigation system as a whole, one can identify the major role played by the hippocampus as correcting for accumulation errors that occur within idiothetic navigation systems. This is most clearly experimentally evident as reorientation when an animal is lost. Carrying this over to a more general process, this becomes a role of recalling a context, bridging a contextual gap, or, in other words, it becomes a form of recognition memory. I will review recent experimental data which seems to support this theory over the more general spatial or memory theories traditionally applied to hippocampus.

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Temporally Structured Replay of Awake Hippocampal Ensemble Activity during Rapid Eye Movement Sleep

Cited by 1,006 publications

References 35 publications

Learned material content and acquisition level modulate cerebral reactivation during posttraining rapid-eye-movements sleep

Learned material content and acquisition level modulate cerebral reactivation during posttraining rapid-eye-movements sleep

Behavior-dependent specialization of identified hippocampal interneurons

The hippocampal debate: are we asking the right questions?

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