Context-dependent coding in single neurons
From MaRDI portal
Publication:1732594
DOI10.1007/s10827-014-0513-9zbMath1409.92051OpenAlexW2005736940WikidataQ51070494 ScholiaQ51070494MaRDI QIDQ1732594
Adrienne L. Fairhall, Randall K. Powers, Marc D. Binder, Anna T. Moritz, Rebecca A. Mease, Sang Wook Lee
Publication date: 25 March 2019
Published in: Journal of Computational Neuroscience (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10827-014-0513-9
motoneuronsafter-hyperpolarizationcovariance modesneural filtersSK channelsspike-triggered reverse correlation
Cites Work
- Unnamed Item
- Unnamed Item
- Modeling stochastic spike train responses of neurons: An extended Wiener series analysis of pigeon auditory nerve fibers
- The identification of nonlinear biological systems: LNL cascade models
- A family of quasi-white random signals and its optimal use in biological system identification. I: Theory
- Shear wave dispersion and attenuation in periodic systems of alternating solid and viscous fluid layers
- A Novel Spike Distance
- Feature Selection in Simple Neurons: How Coding Depends on Spiking Dynamics
- Metric-space analysis of spike trains: theory, algorithms and application
- Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model
- Computation in a Single Neuron: Hodgkin and Huxley Revisited
- What Causes a Neuron to Spike?
- Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions
- Single Neuron Computation: From Dynamical System to Feature Detector
This page was built for publication: Context-dependent coding in single neurons