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Variability and coding efficiency of noisy neural spike encoders.
| Content Provider | CiteSeerX |
|---|---|
| Author | Steinmetz, Peter N. Manwani, Amit Koch, Christof |
| Abstract | Encoding synaptic inputs as a train of action potentials is a fundamental function of nerve cells. Although spike trains recorded in vivo have been shown to be highly variable, it is unclear whether variability in spike timing represents faithful encoding of temporally varying synaptic inputs or noise inherent in the spike encoding mechanism. It has been reported that spike timing variability is more pronounced for constant, unvarying inputs than for inputs with rich temporal structure. This could have significant implications for the nature of neural coding, particularly if precise timing of spikes and temporal synchrony between neurons is used to represent information in the nervous system. To study the potential functional role of spike timing variability, we estimate the fraction of spike timing variability which conveys information about the input for two types of noisy spike encoders---an integrate and fire model with randomly chosen thresholds and a model of a patch of neuronal... |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Noisy Neural Spike Encoders Spike Timing Variability Coding Efficiency Synaptic Input Faithful Encoding Temporal Synchrony Fundamental Function Action Potential Fire Model Spike Train Precise Timing Spike Timing Nerve Cell Noise Inherent Significant Implication Neural Coding Nervous System Rich Temporal Structure Noisy Spike Encoders Potential Functional Role |
| Content Type | Text |
