Tag-Trigger-Consolidation Model of Synaptic Plasticity
Author Information
Author(s): Claudia Clopath, Wulfram Gerstner, Lorric Vasilaki, Eleni Büsing, Lars Gerstner
Primary Institution: Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Hypothesis
Can a simple model that connects the process of LTP induction with that of maintenance account for experimental results on tagging and cross-tagging?
Conclusion
The TagTriC model successfully explains various experimental phenomena related to synaptic plasticity, including the induction and maintenance of long-term potentiation and depression.
Supporting Evidence
- The model explains a large body of experimental data on synaptic tagging and capture.
- It accounts for the dependence of LTP and LTD induction on voltage and presynaptic stimulation frequency.
- The model makes testable predictions about synaptic changes.
- It illustrates the transition from early to late phases of synaptic plasticity.
Takeaway
This study presents a model that helps us understand how our brain strengthens connections between neurons to form memories, showing that these changes can last a long time.
Methodology
The study uses a mathematical model to describe the phases of synaptic plasticity, including the induction of LTP and LTD, tagging, and the consolidation of these changes.
Limitations
The model does not account for all molecular pathways involved in synaptic maintenance and may oversimplify complex biochemical processes.
Digital Object Identifier (DOI)
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