期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 112, 期 20, 页码 6455-6460出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1506400112
关键词
temporal coding; spike timing; spike count variability; trial-to-trial variability; doubly stochastic
资金
- NIH [R01MH102840]
- NIH Institutional Development Award [P20GM103645]
- City College of New York City SEED Grant
- National Science Foundation [DMS-1007593, DMS-1309004]
- Office of Naval Research [ONR N000141010933]
- Defense Advanced Research Projects Agency [FA8650-11-1-7151]
- Direct For Mathematical & Physical Scien
- Division Of Mathematical Sciences [1309004] Funding Source: National Science Foundation
Many experimental studies of neural coding rely on a statistical interpretation of the theoretical notion of the rate at which a neuron fires spikes. For example, neuroscientists often ask, Does a population of neurons exhibit more synchronous spiking than one would expect from the covariability of their instantaneous firing rates? For another example, How much of a neuron's observed spiking variability is caused by the variability of its instantaneous firing rate, and how much is caused by spike timing variability? However, a neuron's theoretical firing rate is not necessarily well-defined. Consequently, neuroscientific questions involving the theoretical firing rate do not have a meaning in isolation but can only be interpreted in light of additional statistical modeling choices. Ignoring this ambiguity can lead to inconsistent reasoning or wayward conclusions. We illustrate these issues with examples drawn from the neural-coding literature.
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