Pages that link to "Item:Q5154134"
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The following pages link to Biologically realistic mean-field models of conductancebased networks of spiking neurons with adaptation (Q5154134):
Displaying 18 items.
- Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons (Q1628210) (← links)
- How well do mean field theories of spiking quadratic-integrate-and-fire networks work in realistic parameter regimes? (Q1704797) (← links)
- Contributions of adaptation currents to dynamic spike threshold on slow timescales: biophysical insights from conductance-based models (Q2005220) (← links)
- Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity (Q2184208) (← links)
- Viewing rate-based neurons as biophysical conductance outputting models (Q2326816) (← links)
- Spike-rate adaptation and neuronal bursting in a mean-field model of brain activity (Q2459140) (← links)
- Mean field analysis of large-scale interacting populations of stochastic conductance-based spiking neurons using the Klimontovich method (Q2628660) (← links)
- A Master Equation Formalism for Macroscopic Modeling of Asynchronous Irregular Activity States (Q3612107) (← links)
- Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness (Q3628007) (← links)
- Rate Models for Conductance-Based Cortical Neuronal Networks (Q4814199) (← links)
- Erratum to “A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation” by Richard Gast, Helmut Schmidt, and Thomas R. Knösche (<i>Neural Computa (Q5004382) (← links)
- Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories (Q5441304) (← links)
- A novel density-based neural mass model for simulating neuronal network dynamics with conductance-based synapses and membrane current adaptation (Q6055081) (← links)
- Exact mean-field models for spiking neural networks with adaptation (Q6172439) (← links)
- Constructive role of shot noise in the collective dynamics of neural networks (Q6548674) (← links)
- Mathematical generation of data-driven hippocampal CA1 pyramidal neurons and interneurons copies via A-GLIF models for large-scale networks covering the experimental variability range (Q6566653) (← links)
- On the physiological and structural contributors to the overall balance of excitation and inhibition in local cortical networks (Q6580457) (← links)
- A mean-field model of gamma-frequency oscillations in networks of excitatory and inhibitory neurons (Q6580462) (← links)
