Journal
JOURNAL OF NEUROSCIENCE
Volume 24, Issue 18, Pages 4351-4362Publisher
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.0459-04.2004
Keywords
burst; dendritic backpropagation; neural code; stimulus estimation; feature detection; sensory systems
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Burst firing is commonly observed in many sensory systems and is proposed to transmit information reliably. Although a number of biophysical burst mechanisms have been identified, the relationship between burst dynamics and information transfer is uncertain. Electrosensory pyramidal cells have a well defined backpropagation-dependent burst mechanism. We used in vivo, in vitro, and modeling approaches to investigate pyramidal cell responses to mimics of behaviorally relevant sensory input. We found that within a given spike train, bursts are biased toward low-frequency events while isolated spikes simultaneously code for the entire frequency range. We also demonstrated that burst dynamics are essential for optimal feature detection but are not required for stimulus estimation. We conclude that burst and spike dynamics can segregate a single spike train into two parallel and complementary streams of information transfer.
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