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      Mechanisms of hippocampal sequence replay

      abstract
      1 , , 1 , 1
      BMC Neuroscience
      BioMed Central
      24th Annual Computational Neuroscience Meeting: CNS*2015
      18-23 July 2015

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          Abstract

          Sleep is known to be important for memory consolidation [1], and memories are thought to be stored in the hippocampus during wakefulness and "transferred" to cortex during sleep [2]. Recently, memory replay - repeatable sequences of pyramidal cell firing - has been demonstrated during sleep, and associated with characteristic brain oscillations, giving rise to the hypothesis that these may form the critical neural substrate of memory consolidation. It is known that the content of hippocampal replay can be biased during sleep, in what is called cued-reactivation [3], and that similar paradigms show enhanced memory performance in humans [4]. Moreover, tampering with replay can disrupt memory formation and consolidation [5]. Despite extensive evidence highlighting the importance of replay within the broader phenomenon of sleep-mediated memory consolidation, the mechanisms underlying sequence replay are still unknown. During sleep, replay events are associated with specific patterns of neuronal oscillations [6]. Replay is seen in cortex during slow oscillation - a rhythmic (< 1Hz) state in which periods of activity (active or Up states) alternate with quiet periods (silent or Down states), while replay in the hippocampus is associated with sharp-wave ripple events - irregularly brief bouts of high frequency (>150 Hz) firing, driven by strong excitatory inputs coming from CA3, which result in a strong deflection in the LFP of stratum radiatum (the sharp wave) [7]. In the present study, we build on our previous research [8] to develop a model of spike sequence replay during sleep. In the past, we have introduced a model of CA1 ripples in which oscillations are transients, mediated by the intrinsic frequency of CA1 basket cells driven by CA3 activation. In this work, we construct a model of CA3 area in which stochastic intrinsic activation of pyramidal cells originates a massive cell activation that results in a strong excitatory input to area CA1. We observe that sequential activation of a selected sub-group of CA1 pyramidal cells is driven by a less specific sequential activation in CA3. We then characterize the mechanisms underlying sequence selection and reactivation within a sharp-wave ripple event. Using hippocampal and thalamocortical models, we investigate the role of cortical inputs on ripple timing and their specific spike content. Our study illustrates the possible role of cortical Up states during slow oscillation in biasing hippocampal replay, which is a core component of the cortico-hippocampal interaction underlying memory consolidation.

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          Model of thalamocortical slow-wave sleep oscillations and transitions to activated States.

          During natural slow-wave sleep (SWS) in nonanesthetized cats, silent (down) states alternate with active (up) states; the down states are absent during rapid-eye-movement sleep and waking. Oscillations (<1 Hz) in SWS and transformation to an activated awake state were investigated with intracellular recordings in vivo and with computational models of the corticothalamic system. Occasional summation of the miniature EPSPs during the hyperpolarized (silent) phase of SWS oscillation activated the persistent sodium current and depolarized the membrane of cortical pyramidal (PY) cells sufficiently for spike generation. In the model, this triggered the active phase, which was maintained by lateral PY-PY excitation and persistent sodium current. Progressive depression of the excitatory interconnections and activation of Ca2+-dependent K+ current led to termination of the 20-25 Hz activity after 500-1000 msec. Including thalamocortical (TC) and thalamic reticular neurons in the model increased the duration of the active epochs up to 1-1.5 sec and introduced waning spindle sequences. An increase in acetylcholine activity, which is associated with activated states, was modeled by the reduction in the K+ leak current in PY and TC cells and by a decrease in intracortical PY-PY synaptic conductances. These changes eliminated the hyperpolarizing phases of network activity and transformed cortical neurons to tonic firing at 15-20 Hz. During the transition from SWS to the activated state, the input resistance of cortical neurons gradually increased and, in a fully activated state, reached the same or even higher values as during silent phases of SWS oscillations. The model describes many essential features of SWS and activated states in the thalamocortical system as well as the transition between them.
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            Biasing the content of hippocampal replay during sleep.

            The hippocampus is essential for encoding self-experienced events into memory. During sleep, neural activity in the hippocampus related to a recent experience has been observed to spontaneously reoccur, and this 'replay' has been postulated to be important for memory consolidation. Task-related cues can enhance memory consolidation when presented during a post-training sleep session, and, if memories are consolidated by hippocampal replay, a specific enhancement for this replay should be observed. To test this, we trained rats on an auditory-spatial association task while recording from neuronal ensembles in the hippocampus. We found that, during sleep, a task-related auditory cue biased reactivation events toward replaying the spatial memory associated with that cue. These results indicate that sleep replay can be manipulated by external stimulation and provide further evidence for the role of hippocampal replay in memory consolidation.
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              Hippocampal CA3 output is crucial for ripple-associated reactivation and consolidation of memory.

              A widely held memory consolidation theory posits that memory of events and space is initially stored in the hippocampus (HPC) in a time-limited manner and is consolidated in the neocortex for permanent storage. Although posttraining HPC lesions result in temporally graded amnesia, the precise HPC circuits and mechanisms involved in remote memory storage remain poorly understood. To investigate the role of the trisynaptic pathway in the consolidation process we employed the CA3-TeTX transgenic mouse, in which CA3 output can be specifically and inducibly controlled. We found that posttraining blockade of CA3 output for up to 4 weeks impairs the consolidation of contextual fear memory. Moreover, in vivo hippocampal recordings revealed a reduced intrinsic frequency of CA1 ripples and a significant decrease in the experience-dependent, ripple-associated coordinated reactivation of CA1 cell pairs. Collectively, these results suggest that the posttraining integrity of the trisynaptic pathway and the ripple-associated reactivation of hippocampal memory engram are crucial for memory consolidation.
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                Author and article information

                Contributors
                Conference
                BMC Neurosci
                BMC Neurosci
                BMC Neuroscience
                BioMed Central
                1471-2202
                2015
                4 December 2015
                : 16
                : Suppl 1
                : P11
                Affiliations
                [1 ]Cell Biology and Neuroscience, University of California Riverside, Riverside, CA 92507, USA
                Article
                1471-2202-16-S1-P11
                10.1186/1471-2202-16-S1-P11
                4697496
                64a8d5ec-10f7-4712-b6e4-cfbf294fa973
                Copyright © 2015 Malerba et al.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                24th Annual Computational Neuroscience Meeting: CNS*2015
                Prague, Czech Republic
                18-23 July 2015
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                Neurosciences

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