A Universal Model for Spike-Frequency Adaptation
By Jan Benda, Andreas V. M. Herz. Neural Computation, 2003
508 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/a106c3fdcfd4b38608161cbbeaf5699dfa1e5f6f
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
- Wulfram Gerstner
- Claudia Clopath
- Guangyu Robert Yang
- H. Francis Song
- Xiao-Jing Wang
- Richard Naud
- Zachary P. Kilpatrick
- Paul C. Bressloff
In Cognitive Neuroscience
- Guangyu Robert Yang
- Claudia Clopath
- Wulfram Gerstner
- H. Francis Song
- Xiao-Jing Wang
- Richard Naud
- Paul C. Bressloff
- Nicolas Marcille
In Statistical and Nonlinear Physics
- Claudia Clopath
- Richard Naud
- Paul C. Bressloff
- Nicolas Marcille
- Xiao-Jing Wang
- Wulfram Gerstner
- Zachary P. Kilpatrick
- H. Francis Song
Citations in the corpus
- Firing patterns in the adaptive exponential integrate-and-fire model (2008, methodology): “Optimization methods Brette and Gerstner (2005) have proposed an experimental protocol to determine the parameters of the model.”
- Training Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework (2016, background): “Other physiologically relevant phenomena such as bursting, adaptation, and oscillations are currently not captured by our framework, but can be incorporated in the future; adaptation, for example, can be included in phenomenological form appropriate to a rate model [81, 82].”
- Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy. (2004, background): “49 yield standard phenomological models of adaptation (Benda and Herz 2003; Rauch et al. 2003).”
- Inferring Network Dynamics and Neuron Properties from Population Recordings (2011, unknown): “, 2007): a perturbation that accounts for the distribution of membrane potentials in the neuronal pool, consistently to what has been previously argued for isolated neuron models (Benda and Herz, 2003).”
- Effects of synaptic depression and adaptation on spatiotemporal dynamics of an excitatory neuronal network (2010, methodology): “As derived from a universal adaptation current by Benda and Herz [18], spike frequency adaptation is switched on as a linear function of a neuron's firing rate.”
- Spatiotemporal dynamics of continuum neural fields (2012, background): “Spike frequency adaptation causes a neuron’s firing rate to decay to a submaximal level and occurs when a potassium current, presumably activated by elevated intracellular calcium, hyperpolarizes the membrane voltage [57–59].”