Spike-Frequency Adaptation of a Generalized Leaky Integrate-and-Fire Model Neuron

By Ying-Hui Liu, Xiao-Jing Wang. Journal of Computational Neuroscience, 2004

380 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/05a44959324739ad0cec4df092d6645de58962cb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Markus R. Owen
2. Sophie Denève
3. Stephen Coombes
4. Gabriel J. Lord

In Cognitive Neuroscience

1. Stephen Coombes
2. Markus R. Owen
3. Sophie Denève
4. Gabriel J. Lord
5. Wolfgang Maass
6. Karl J. Friston
7. Lars Buesing
8. Peter beim Graben

In Electrical and Electronic Engineering

1. Markus R. Owen
2. Sophie Denève
3. Stephen Coombes
4. Gabriel J. Lord

Citations in the corpus

• Bayesian Spiking Neurons I: Inference (2008, background): “Similar mechanisms have been proposed to describe the effects of relative refractory periods (Gerstner & Werner, 2002) and spike-dependent adaptation (Liu & Wang, 2001).”
• Synaptic and spiking dynamics underlying reward reversal in the orbitofrontal cortex. (2004, neutral): “Ca2 + -activated K + hyper-polarizing currents ( Liu and Wang, 2001 ) and”
• Waves and bumps in neuronal networks with axo-dendritic synaptic interactions (2003, methodology): “For a detailed discussion of biophysical models for SFA in networks of spiking neurons see, for example, the work of Liu and Wang [31].”