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The Journal of Neuroscience, May 5, 2004, 24(18):4351-4362; doi:10.1523/JNEUROSCI.0459-04.2004

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Behavioral/Systems/Cognitive
Parallel Processing of Sensory Input by Bursts and Isolated Spikes

Anne-Marie M. Oswald,¹ Maurice J. Chacron,^1,2 Brent Doiron,^1,2 Joseph Bastian,³ and Leonard Maler¹

¹Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario K1G 2K4, Canada, ²Physics Department, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada, and ³Department of Zoology, University of Oklahoma, Norman, Oklahoma 73019

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.

Key words: burst; dendritic backpropagation; neural code; stimulus estimation; feature detection; sensory systems

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Received Feb 9, 2004; revised March 23, 2004; accepted March 26, 2004.

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