Memory destabilization during reconsolidation – A consequence of homeostatic plasticity?

Amorim, Felippe E.; Chapot, Renata L.; Moulin, Thiago C.; Amaral, Olavo B.

doi:10.1101/2021.02.05.429950

Cited by 1 publication

(2 citation statements)

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“…In the future, this could be modeled by introducing LTP-and LTD-specific protein pools with different properties (which is, as mentioned above, already implemented in our simulation code). This could complement another recently proposed mechanism for reconsolidation which is based on synaptic scaling (Amorim et al, 2021).…”

Section: Discussionsupporting

confidence: 53%

“…Complementary to this, pharmacological blocking of reconsolidation could be a new promising approach to cure mental diseases. However, such pharmacological application in humans still seems far off in the future because the exact mechanisms of reconsolidation remain largely unknown (Amorim et al, 2021). Nevertheless, reconsolidation underlies the update of existing memory traces (Kessler et al, 2017;Besnard et al, 2012), and there is evidence that this process also underlies various cases of curing effects by psychotherapy (Lane et al, 2015).…”

Section: Reconsolidationmentioning

confidence: 99%

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The Role of Synaptic Tagging and Capture for Memory Dynamics in Spiking Neural Networks

Luboeinski¹

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Memory serves to process and store information about experiences such that this information can be used in future situations. The transfer from transient storage into long-term memory, which retains information for hours, days, and even years, is called consolidation. In brains, information is primarily stored via alteration of synapses, so-called synaptic plasticity. While these changes are at first in a transient early phase, they can be transferred to a late phase, meaning that they become stabilized over the course of several hours. This stabilization has been explained by so-called synaptic tagging and capture (STC) mechanisms. To store and recall memory representations, emergent dynamics arise from the synaptic structure of recurrent networks of neurons. This happens through so-called cell assemblies, which feature particularly strong synapses. It has been proposed that the stabilization of such cell assemblies by STC corresponds to so-called synaptic consolidation, which is observed in humans and other animals in the first hours after acquiring a new memory. The exact connection between the physiological mechanisms of STC and memory consolidation remains, however, unclear.It is equally unknown which influence STC mechanisms exert on further cognitive functions that guide behavior. On timescales of minutes to hours (that means, the timescales of STC) such functions include memory improvement, modification of memories, interference and enhancement of similar memories, and transient priming of certain memories. Thus, diverse memory dynamics may be linked to STC, which can be investigated by employing theoretical methods based on experimental data from the neuronal and the behavioral level.In this thesis, we present a theoretical model of STC-based memory consolidation in recurrent networks of spiking neurons, which are particularly suited to reproduce biologically realistic dynamics. Furthermore, we combine the STC mechanisms with calcium dynamics, which have been found to guide the major processes of early-phase synaptic plasticity in vivo. In three included research articles as well as additional sections, we develop this model and investigate how it can account for a variety of behavioral effects. We find that the model enables the robust implementation of the cognitive memory functions mentioned above. The main steps to this are: 1. demonstrating the formation, consolidation, and improvement of memories represented by cell assemblies, 2. showing that neuromodulator-dependent STC can retroactively control whether information is stored in a temporal or rate-based neural code, and 3. examining interaction of multiple cell assemblies with transient and attractor dynamics in different organizational paradigms.In summary, we demonstrate several ways by which STC controls the late-phase synaptic structure of cell assemblies. Linking these structures to functional dynamics, we show that our STC-based model implements functionality that can be related to long-term memory. Thereby, we provide a basis for the mechan...

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Section: Discussionsupporting

confidence: 53%

Section: Reconsolidationmentioning

confidence: 99%

The Role of Synaptic Tagging and Capture for Memory Dynamics in Spiking Neural Networks

Luboeinski¹

View full text Add to dashboard Cite

show abstract

Memory destabilization during reconsolidation – A consequence of homeostatic plasticity?

Cited by 1 publication

References 123 publications

The Role of Synaptic Tagging and Capture for Memory Dynamics in Spiking Neural Networks

The Role of Synaptic Tagging and Capture for Memory Dynamics in Spiking Neural Networks

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