The response of cortical neurons to in vivo-like input current: theory and experiment. II: Time-varying and spatially distributed inputs

DOI10.1007/S00422-008-0270-9zbMath1161.92008DBLPjournals/bc/GiuglianoCFS08OpenAlexW2168814247WikidataQ37326544 ScholiaQ37326544MaRDI QIDQ999421

Michele Giugliano, Giancarlo La Camera, Walter Senn, Stefano Fusi

Publication date: 3 February 2009

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://infoscience.epfl.ch/record/160444/files/422_2008_Article_270.pdf

zbMATH Keywords

DynamicsCalcium spikesIntegrate-and-fire modelPatch clampPopulations of spiking neurons

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (4)

The response of cortical neurons to in vivo-like input current: theory and experiment. II: Time-varying and spatially distributed inputs ⋮ The response of cortical neurons to in vivo-like input current: Theory and experiment ⋮ Special issue on quantitative neuron modeling ⋮ Inferring pathological states in cortical neuron microcircuits

Cites Work

• Unnamed Item
• The response of cortical neurons to in vivo-like input current: theory and experiment. II: Time-varying and spatially distributed inputs
• A population density approach that facilitates large-scale modeling of neural networks: Analysis and an application in orientation tuning
• Predicting spike timing of neocortical pyramidal neurons by simple threshold models
• Frequency-dependent response properties of adapting spiking neurons
• The Effects of Spike Frequency Adaptation and Negative Feedback on the Synchronization of Neural Oscillators
• Patterns of Synchrony in Neural Networks with Spike Adaptation
• Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons
• Minimal Models of Adapted Neuronal Response to In Vivo–Like Input Currents
• Introduction to Theoretical Neurobiology
• Mean-field analysis of neuronal spike dynamics
• A Universal Model for Spike-Frequency Adaptation
• Rate Models for Conductance-Based Cortical Neuronal Networks
• A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses
• Subtractive and Divisive Inhibition: Effect of Voltage-Dependent Inhibitory Conductances and Noise
• Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance

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