A novel density-based neural mass model for simulating neuronal network dynamics with conductance-based synapses and membrane current adaptation
From MaRDI portal
Publication:6055081
DOI10.1016/j.neunet.2021.06.009zbMath1528.92010OpenAlexW3171468289MaRDI QIDQ6055081
Chou-Ching K. Lin, Chih-Hsu Huang
Publication date: 28 September 2023
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2021.06.009
Cites Work
- Unnamed Item
- The role of fluctuations in coarse-grained descriptions of neuronal networks
- Firing patterns in the adaptive exponential integrate-and-fire model
- Dynamics and bifurcations of the adaptive exponential integrate-and-fire model
- Performance of a model for a local neuron population
- Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.
- The Fokker-Planck equation. Methods of solutions and applications.
- Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model
- The High-Conductance State of Cortical Networks
- Biologically realistic mean-field models of conductancebased networks of spiking neurons with adaptation
This page was built for publication: A novel density-based neural mass model for simulating neuronal network dynamics with conductance-based synapses and membrane current adaptation