The Rise and Fall of Memory in a Model of Synaptic Integration
From MaRDI portal
Publication:2840861
DOI10.1162/NECO_a_00335zbMath1268.92020OpenAlexW2158513690WikidataQ50799372 ScholiaQ50799372MaRDI QIDQ2840861
Konstantinos Lagogiannis, Terry Elliott
Publication date: 23 July 2013
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/neco_a_00335
Related Items (9)
The impact of sparse coding on memory lifetimes in simple and complex models of synaptic plasticity ⋮ First Passage Time Memory Lifetimes for Multistate, Filter-Based Synapses ⋮ The Enhanced Rise and Delayed Fall of Memory in a Model of Synaptic Integration: Extension to Discrete State Synapses ⋮ Variations on the Theme of Synaptic Filtering: A Comparison of Integrate-and-Express Models of Synaptic Plasticity for Memory Lifetimes ⋮ Mean First Passage Memory Lifetimes by Reducing Complex Synapses to Simple Synapses ⋮ First Passage Time Memory Lifetimes for Simple, Multistate Synapses ⋮ Memory Nearly on a Spring: A Mean First Passage Time Approach to Memory Lifetimes ⋮ Dynamic Integrative Synaptic Plasticity Explains the Spacing Effect in the Transition from Short- to Long-Term Memory ⋮ First Passage Time Memory Lifetimes for Simple, Multistate Synapses: Beyond the Eigenvector Requirement
Cites Work
- The Mean Time to Express Synaptic Plasticity in Integrate-and-Express, Stochastic Models of Synaptic Plasticity Induction
- Stability Against Fluctuations: Scaling, Bifurcations, and Spontaneous Symmetry Breaking in Stochastic Models of Synaptic Plasticity
- Temporal Dynamics of Rate-Based Synaptic Plasticity Rules in a Stochastic Model of Spike-Timing-Dependent Plasticity
- Discrete States of Synaptic Strength in a Stochastic Model of Spike-Timing-Dependent Plasticity
- A Non-Markovian Random Walk Underlies a Stochastic Model of Spike-Timing-Dependent Plasticity
- Taming Fluctuations in a Stochastic Model of Spike-Timing-Dependent Plasticity
- Neural networks and physical systems with emergent collective computational abilities.
- Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics
- Unnamed Item
This page was built for publication: The Rise and Fall of Memory in a Model of Synaptic Integration
