New memories are labile, but over time some of them are stabilized. This thesis investigates the network mechanisms in the brain underlying the gradual consolidation of memory representations. Specifically, I performed a causal test of the long-standing hypothesis that the offline reactivation of new, memory-representing cell assemblies supports memory consolidation by stabilizing those assemblies and increasing the likelihood of their later reinstatement - and therefore presumably of memory recall. I performed multi-unit extracellular recordings in the dorsal CA1 region of behaving mice, from which I detected short-timescale (25 ms) co-activation patterns of principal neurons during exploration of open-field enclosures. These cell assembly patterns appeared to represent space as their expression was spatially tuned and environment specific; and these patterns were preferentially reactivated during sharp wave-ripples (SWRs) in subsequent sleep. Importantly, after exposure to a novel - but not a familiar - enclosure, the strength with which an assembly pattern was reactivated predicted its later reinstatement strength during context re-exposure. Moreover, optogenetic silencing of hippocampal pyramidal neurons during on-the-fly detected SWRs during the sleep following exposure to a novel - but again not a familiar - enclosure impaired subsequent assembly pattern reinstatement. These results are direct evidence for a causal role of SWR-associated reactivation in the stability of new hippocampal cell assemblies. Surprisingly, offline reactivation was only important for the stability of a subset of the assembly patterns expressed in a novel enclosure. Optogenetic SWR silencing only impaired the reinstatement of "gradually strengthened" patterns that had had a significant increasing trend in their expression strength throughout the initial exposure session. Consistent with this result, a positive correlation between reactivation and subsequent reinstatement was only found for these gradually strengthened patterns and not for the other, "early stabilized" patterns. An interesting interpretation is that the properties of the gradually strengthened patterns are all consistent with the Hebbian postulate of "fire together, wire together". To enable investigation of the relation between interneurons and principal cell assembly patterns from extracellular recordings, as a final contribution this thesis describes a statistical framework for the unsupervised classification of interneurons based on their firing properties alone.

Der Hippokampus spielt eine wichtige Rolle bei der Erfassung, Festigung und dem Wiederabrufen von Gedächtnisinhalten. Diese Prozesse werden von Oszillationen begleitet, die synchronisierte neuronale Aktivität wiederspiegeln. Der erste Teil dieser Arbeit konzentriert sich auf ‘ripples’, eine schnell schwingende Netzwerkaktivität, die an der Festigung von Gedächtnisinhalten beteiligt ist. Das Subikulum ist eine der Hauptausgangsstationen des Hippokampus und überträgt Informationen zu Zielregionen außerhalb dieser Region. Um dies besser zu verstehen, habe ich hier die Eigenschaften von subikulären Pyramidenzellen und deren Regulierung während ripples untersucht. Es zeigte sich, dass eine Untergruppe von Zellen, burst (in Salven) feuernde Zellen, ihre Aktivität erhöht, während eine zweite Untergruppe, regulär feuerende Zellen, ihre Aktivitaet während ripples vermindert. Ferner ist bei regulär feuernden Zellen das Verhältnis zwischen Inhibition und Exzitation höher als bei burst feuernden Zellen. Zusammen mit Erkenntnissen aus früheren Studien lassen diese Ergebnisse vermuten, dass Information während ripples hauptsächlich zu Zielregionen der burst feuernden Zellen geleitet wird. Neben Pyramidenzellen beherbergt der Hippokampus auch eine Vielzahl verschiedener Interneurone. Im zweiten Teil dieser Arbeit habe ich O-LM Interneurone der hippokampalen Region CA1 untersucht. Diese spielen eine wichtige Rolle bei der Kontrolle von Eingängen aus dem entorhinalen Kortex. Wir konnten zeigen, dass die exzitatorische Übertragung auf O-LM Interneurone durch Serotonin, einem von den Raphe-Kernen ausgeschütteten Neuromodulator, vermindert wird. Dies geschieht durch einen präsynaptischen Mechanismus, der wahrscheinlich eine Verminderung des Kalziumeinstroms in präsynaptische Endigungen umfasst. Eine Verminderung der Aktivität von O-LM Interneuronen durch Serotonin könnte die synaptische Übertragung von Signalen aus dem entorhinalen Kortex auf CA1 Pyramidenzelldendriten erleichtern. / The hippocampus plays an important role in the acquisition, consolidation and retrieval of memory. These processes are accompanied by hippocampal oscillations, which reflect synchronized neuronal activity. The first part of this thesis focuses on ripples, a fast oscillatory activity which is involved in memory consolidation. The subiculum as one of the main output areas of the hippocampus is ideally suited to mediate information transfer to extrahippocampal targets. Here I investigated the properties of subicular pyramidal cells and their modulation during ripples. I found that a subset of subicular pyramidal cells increases its firing rate during ripples whereas another subset decreases its firing rate. Furthermore I was able to identify a correlate between modulation and cell subtype: burst firing cells increased their firing rate, and regular firing cells decreased their firing rate. We could further show that regular firing cells receive a higher ratio of inhibition to excitation as compared to burst firing cells. Together with earlier work, these results suggest that information transferred during ripples is likely to be routed preferentially to target regions of the burst firing subtype. Besides pyramidal cells, the hippocampus hosts a variety of interneuron types. The second part of this thesis focuses on GABAergic O-LM interneurons of hippocampal area CA1, which play an important role in controlling input from the entorhinal cortex. We could show that excitatory transmission from local pyramidal cells onto O-LM interneurons is decreased by serotonin, a neuromodulator released from the midbrain raphe nuclei. This modulation is mediated by a presynaptic mechanism and is likely to involve a decrease in calcium influx into presynaptic terminals. We conclude that serotonin, by decreasing O-LM output, might release fibers from entorhinal cortex impinging onto CA1 pyramidal cell dendrites from inhibition.

Hippokampale Sharp Wave-Ripples (SWRs) sind elektrografische Ereignisse, die für die Konsolidierung von Erinnerungen eine Rolle spielen. Eine SWR ist durch eine schnelle Oszillation (>90 Hz, ''ripple'') charakterisiert, die sich mit der langsameren ''sharp wave'' ( / Hippocampal sharp wave-ripples (SWRs) are electrographic events that have been implicated in memory consolidation. A SWR is characterized by a fast (> 90 Hz) oscillation, the ripple, superimposed on a slow (< 30 Hz) sharp wave. In vivo, the fast component can express frequencies either in the ripple range (140-200 Hz) or fast-gamma range (90-140 Hz). Episodes in both bands exhibit intra-ripple frequency accommodation (IFA). In vitro, ripples are frequency-resistant to GABA modulators. These features constrain the type of mechanisms underlying the generation of the fast component. A prominent hypothesis proposes that a recurrent network of parvalbumin-immunoreactive basket cells (PV+BC) is responsible of setting the ripple frequency. The focus of the present thesis is on testing to which extent the PV+BC network can account for the aforementioned features of SWRs, which remain unexplained. Here, I simulated and analyzed a physiologically constrained in silico model of the PV+BC network in CA1 under different conditions of excitatory drive. The response of the network to transient excitation exhibits both IFA in the ripple band and frequency resistance to GABA modulators. The expression of IFA in the fast gamma band requires the involvement of pyramidal cells in a closed loop with the PV+BC network. The model predicts a peculiar relationship between the instantaneous frequency of ripples and the time course of the excitatory input to CA1. This prediction was confirmed in an in vitro model of SWRs. Additionally, I study the involvement of oriens lacunosum-moleculare interneurons (O-LM) during SWRs in vitro. I characterize the excitatory currents received by O-LM cells during SWRs and investigate the factors that determine their recruitment.

Alors que le rat apprend à chercher de multiples sources de nourriture ou d'eau, des processus d'apprentissage de séquences spatiales et de rejeu ont lieu dans l'hippocampe et le cortex préfrontal.Des études récentes (De Jong et al. 2011; Carr, Jadhav, and Frank 2011) mettent en évidence que la navigation spatiale dans l'hippocampe de rat implique le rejeu de l'activation de cellules de lieu durant les étant de sommeil et d'éveil en générant des petites sous séquences contigues d'activation de cellules de lieu cohérentes entre elles. Ces fragments sont observés en particulier lors d'évènements sharp wave ripple (SPWR).Les phénomènes de rejeu lors du sommeil dans le contexte de la consolidation de la mémoire à long terme ont beaucoup attiré l'attention. Ici nous nous focalisons sur le rôle du rejeu pendant l'état d'éveil.Nous formulons l'hypothèse que ces fragments peuvent être utilisés par le cortex préfrontal pour réaliser une tâche d'apprentissage spatial comprenant plusieurs buts.Nous proposons de développer un modèle intégré d'hippocampe et de cortex préfrontal capable de générer des séquences d'activation de cellules de lieu.Le travail collaboratif proposé prolonge les travaux existants sur un modèle de cognition spatiale pour des tâches orientés but plus simples (Barrera and Weitzenfeld 2008; Barrera et al. 2015) avec un nouveau modèle basé sur le rejeu pour la formation de mémoire dans l'hippocampe et l'apprentissage et génération de séquences spatiales par le cortex préfrontal.En contraste avec les travaux existants d'apprentissage de séquence qui repose sur des règles d'apprentissage sophistiquées, nous proposons d'utiliser un paradigme calculatoire appelé calcul par réservoir (Dominey 1995) dans lequel des groupes importants de neurones artificiels dont la connectivité est fixe traitent dynamiquement l'information au travers de réverbérations. Ce modèle calculatoire par réservoir consolide les fragments de séquence d'activations de cellule de lieu en une plus grande séquence qui pourra être rappelée elle-même par des fragments de séquence.Le travail proposé est supposé contribuer à une nouvelle compréhension du rôle du phénomène de rejeu dans l'acquisition de la mémoire dans une tâche complexe liée à l'apprentissage de séquence.Cette compréhension opérationnelle sera mise à profit et testée dans l'architecture cognitive incarnée d'un robot mobile selon l'approche animat (Wilson 1991) [etc...] / As rats learn to search for multiple sources of food or water in a complex environment, processes of spatial sequence learning and recall in the hippocampus (HC) and prefrontal cortex (PFC) are taking place. Recent studies (De Jong et al. 2011; Carr, Jadhav, and Frank 2011) show that spatial navigation in the rat hippocampus involves the replay of place-cell firing during awake and sleep states generating small contiguous subsequences of spatially related place-cell activations that we will call "snippets". These "snippets" occur primarily during sharp-wave-ripple (SPWR) events. Much attention has been paid to replay during sleep in the context of long-term memory consolidation. Here we focus on the role of replay during the awake state, as the animal is learning across multiple trials.We hypothesize that these "snippets" can be used by the PFC to achieve multi-goal spatial sequence learning.We propose to develop an integrated model of HC and PFC that is able to form place-cell activation sequences based on snippet replay. The proposed collaborative research will extend existing spatial cognition model for simpler goal-oriented tasks (Barrera and Weitzenfeld 2008; Barrera et al. 2015) with a new replay-driven model for memory formation in the hippocampus and spatial sequence learning and recall in PFC.In contrast to existing work on sequence learning that relies heavily on sophisticated learning algorithms and synaptic modification rules, we propose to use an alternative computational framework known as reservoir computing (Dominey 1995) in which large pools of prewired neural elements process information dynamically through reverberations. This reservoir computational model will consolidate snippets into larger place-cell activation sequences that may be later recalled by subsets of the original sequences.The proposed work is expected to generate a new understanding of the role of replay in memory acquisition in complex tasks such as sequence learning. That operational understanding will be leveraged and tested on a an embodied-cognitive real-time framework of a robot, related to the animat paradigm (Wilson 1991) [etc...]

A growing interest for Cannabidiol (CBD), a component of Cannabis Sativa, has occurred over the past years. The medical potential of the component is yet to be better characterized, as its effects on sleep, and in particular memory, are to date not well understood or consistently characterized. This master thesis project focuses on analysing the effect of CBD on an anaesthesia-induced sleep-like state in rats, and its effects on the hippocampal sharp-wave-ripples, which have been shown to be associated with memory replay during sleep, and hence system consolidation. The hippocampus and prefrontal cortex, the two structures involved in memory consolidation, were recorded in 19 rats, split in two groups (CBD and vehicle). From these recordings, an automated sleep scorer using principal component analysis was developed to obtain the animals’ hypnograms, which were analysed to study sleep-like structure. From the recordings of the hippocampal pyramidal layer, and an additionnal layer deeper under it, respectively ripples and sharp waves were detected in all animals, and characterized for each group. We observed and demonstrated that CBD changes the sleep-like structure by shortening both REM and NREM bouts, resulting in an increase in transitions between both states. Additionally, we observed that, although ripples are not significantly different between both groups, sharp waves tend to be smaller among CBD animals. Lastly we noticed that both sharp wave and ripple activity, after increasing upon transition to NREM, decreases as the bout last. This finding suggests that vehicle animals, who have longer bouts and less transitions, would display less sharp wave and ripple activity, although we found no significant difference in the amount of both brain events. This paradox suggests that there is still more to characterize in order to understand if CBD enhances or not memory consolidation. In sum, CBD changes anaesthesia-induced sleep by shortening the duration of both NREM and REM bouts, resulting in an increase in transitions between both state. As for sleep events, sharp waves appeared shorter among CBD animals, although the same difference was not observed for ripples. Finally, sharp wave and ripple activity appear to peak upon transition from REM to NREM sleep, and decreases as the NREM bout lasts longer, however, no effect of CBD on this observation was highlighted.

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