Single Neuron Computation: From Dynamical System to Feature Detector

White noise methods are a powerful tool for characterizing the computation performed by neural systems. These methods allow one to identify the feature or features that a neural system extracts from a complex input and to determine how these features are combined to drive the system's spiking r...

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Veröffentlicht in:	Neural computation 2007-12, Vol.19 (12), p.3133-3172
Hauptverfasser:	Hong, Sungho, Agüera y Arcas, Blaise, Fairhall, Adrienne L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Action Potentials - physiology Algorithms Animals Applied sciences Artificial intelligence Biological and medical sciences Brain - physiology Cell Membrane - physiology Computer science control theory systems Electric noise Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects Global analysis, analysis on manifolds Humans Ion Channels - physiology Ions Learning and adaptive systems Mathematics Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Membranes Miscellaneous Neural networks Neural Networks (Computer) Neural Pathways - physiology Neurons - physiology Noise Nonlinear Dynamics Sciences and techniques of general use Simulation Synaptic Transmission - physiology Topology. Manifolds and cell complexes. Global analysis and analysis on manifolds
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