Successful Execution of Working Memory Linked to Synchronized High-Frequency Gamma Oscillations

Yamamoto, Jun; Suh, Junghyup; Takeuchi, Daigo; Tonegawa, Susumu

doi:10.1016/j.cell.2014.04.009

Cited by 320 publications

(355 citation statements)

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“…Second, the injection of a mixture of their respective antagonists for mGluR1 and cholinergic muscarinic receptors into the dMEC inhibits trace fear conditioning in control mice, but not in dMECIII-TeTX mutant mice (Suh et al 2011). Finally, as described earlier the dMECIII-TeTX mutant mice had deficits in a DNMP task (Suh et al 2011;Yamamoto et al 2014). Yamamoto et al (2014) found ramping phasic multiunit activity (MUA) bursts in dMECIII during test trials of the DNMP task in control animals.…”

Section: The Hippocampal Ca1 Area Supports Temporal Associative Learningmentioning

confidence: 53%

“…Finally, as described earlier the dMECIII-TeTX mutant mice had deficits in a DNMP task (Suh et al 2011;Yamamoto et al 2014). Yamamoto et al (2014) found ramping phasic multiunit activity (MUA) bursts in dMECIII during test trials of the DNMP task in control animals. The MUA bursts of dMECIII in the dMECIII-TeTX mutant mice during test trials were much weaker than those in control mice.…”

Section: The Hippocampal Ca1 Area Supports Temporal Associative Learningmentioning

confidence: 53%

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Entorhinal–hippocampal neuronal circuits bridge temporally discontiguous events

2015

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The entorhinal cortex (EC) -hippocampal (HPC) network plays an essential role for episodic memory, which preserves spatial and temporal information about the occurrence of past events. Although there has been significant progress toward understanding the neural circuits underlying the spatial dimension of episodic memory, the relevant circuits subserving the temporal dimension are just beginning to be understood. In this review, we examine the evidence concerning the role of the EC in associating events separated by time-or temporal associative learning-with emphasis on the function of persistent activity in the medial entorhinal cortex layer III (MECIII) and their direct inputs into the CA1 region of HPC. We also discuss the unique role of Island cells in the medial entorhinal cortex layer II (MECII), which is a newly discovered direct feedforward inhibitory circuit to CA1. Finally, we relate the function of these entorhinal cortical circuits to recent findings concerning hippocampal time cells, which may collectively activate in sequence to bridge temporal gaps between discontiguous events in an episode.

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Section: The Hippocampal Ca1 Area Supports Temporal Associative Learningmentioning

confidence: 53%

Section: The Hippocampal Ca1 Area Supports Temporal Associative Learningmentioning

confidence: 53%

Entorhinal–hippocampal neuronal circuits bridge temporally discontiguous events

2015

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“…Gamma band oscillations are linked with performance of working memory tasks (Yamamoto et al;Howard et al, 2003;Roux and Uhlhaas, 2014), where patients show impairment (Perlstein et al, 2001;Bor et al, 2011). Indeed, the deficits in gamma oscillatory activity in patients are correlated with working memory deficits (Cho et al, 2006).…”

Section: The Trn and Schizophrenia Risk Factors: Preclinical Evidencementioning

confidence: 99%

The thalamic reticular nucleus: A functional hub for thalamocortical network dysfunction in schizophrenia and a target for drug discovery

Pratt

Morris

2015

J Psychopharmacol

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. (2015) The thalamic reticular nucleus: a functional hub for thalamocortical network dysfunction in schizophrenia and a target for drug discovery. Journal of Psychopharmacology. Copyright © 2015 Sage PublicationsA copy can be downloaded for personal non-commercial research or study, without prior permission or charge Content must not be changed in any way or reproduced in any format or medium without the formal permission of the copyright holder(s) The thalamic reticular nucleus -A communication hub AbstractThe thalamus (comprising many distinct nuclei) plays a key role in facilitating sensory discrimination and cognitive processes through connections with the cortex . Impaired thalamocortical processing has long been considered to be involved in schizophrenia. In this review we focus on the thalamic reticular nucleus (TRN) providing evidence for it being an important communication hub between the thalamus and cortex and how it may play a key role in the pathophysiology of schizophrenia. We first highlight the functional neuroanatomy, neurotransmitter localisation and physiology of the TRN. We then present evidence of the physiological roles of the TRN in relation to oscillatory activity, cognition and behaviour. Next we discuss the role of the TRN in rodent models of risk factors for schizophrenia (genetic and pharmacological) and provide evidence for TRN deficits in schizophrenia. Finally we discuss new drug targets for schizophrenia in relation to restoring TRN circuitry dysfunction.

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“…Spike-time synchronization may organize populations of neurons that are engaged in cognitive behaviors (18)(19)(20). The contribution of the recurrent cortical connections in the generation of synchronized neural populations has been previously emphasized (26).…”

Section: Discussionmentioning

confidence: 99%

“…Feedback connections may also participate in generating spike-time synchronization among populations of neurons that are engaged in cognitive behaviors (18)(19)(20) by the same mechanisms described here for propagation of synchronized spikes through cortical areas.…”

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confidence: 89%

Feedback stabilizes propagation of synchronous spiking in cortical neural networks

Moldakarimov

Bazhenov

Sejnowski

2015

Proc. Natl. Acad. Sci. U.S.A.

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Precisely timed action potentials related to stimuli and behavior have been observed in the cerebral cortex. However, information carried by the precise spike timing has to propagate through many cortical areas, and noise could disrupt millisecond precision during the transmission. Previous studies have demonstrated that only strong stimuli that evoke a large number of spikes with small dispersion of spike times can propagate through multilayer networks without degrading the temporal precision. Here we show that feedback projections can increase the number of spikes in spike volleys without degrading their temporal precision. Feedback also increased the range of spike volleys that can propagate through multilayer networks. Our work suggests that feedback projections could be responsible for the reliable propagation of information encoded in spike times through cortex, and thus could serve as an attentional mechanism to regulate the flow of information in the cortex. Feedback projections may also participate in generating spike synchronization that is engaged in cognitive behaviors by the same mechanisms described here for spike propagation.neural coding | attention | cerebral cortex | synfire | spike timing T he firing rates of cortical neurons carry information about sensory inputs and motor actions (1). Precisely timed action potentials related to stimuli and behavior have also been observed in the cerebral cortex (2-4), and the mechanisms underlying precisely timed spike initiation have been studied in cortical neurons in vitro (5). However, the information carried by the precise timing of spikes would have to propagate through a hierarchy of cortical areas (6) and noise could disrupt millisecond precision during the transmission.Previous modeling studies have demonstrated that synchronized volleys of spikes are essential for reliably driving the cortex by sparse thalamic inputs (7) and can indeed propagate through the layers of a feedforward network without compromising the temporal precision (8, 9). Furthermore, the temporal precision of a spike volley sharpens as it propagates through the network (10, 11). However, the results of these modeling studies suggest that only sufficiently strong stimuli that evoke spike volleys with a large number of spikes and a small dispersion of spike times would successfully propagate through the feedforward networks without degrading the temporal precision, whereas neural activities that are too weak or too dispersed will die out. This is a critical limitation on the propagation of synchronous spiking compared with the propagation of firing rates; stimuli evoking even low firing rate activity can successfully propagate through multilayer neural networks (12-14).Here we show that when feedback connections are added to a multilayer feedforward model the propagation of synchronous spiking through the network layers is significantly enhanced without compromising temporal precision.In our model with feedback projections, the state space of the model was divided into two areas: ...

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Successful Execution of Working Memory Linked to Synchronized High-Frequency Gamma Oscillations

Cited by 320 publications

References 44 publications

Entorhinal–hippocampal neuronal circuits bridge temporally discontiguous events

Entorhinal–hippocampal neuronal circuits bridge temporally discontiguous events

The thalamic reticular nucleus: A functional hub for thalamocortical network dysfunction in schizophrenia and a target for drug discovery

Feedback stabilizes propagation of synchronous spiking in cortical neural networks

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