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Behavioral/Systems/Cognitive State-Dependent Dendritic Computation in Hippocampal
 

Summary: Behavioral/Systems/Cognitive
State-Dependent Dendritic Computation in Hippocampal
CA1 Pyramidal Neurons
Sonia Gasparini and Jeffrey C. Magee
Neuroscience Center, Louisiana State University Health Science Center, New Orleans, Louisiana 70112
Depending on the behavioral state, hippocampal CA1 pyramidal neurons receive very distinct patterns of synaptic input and likewise
produce very different output patterns. We have used simultaneous dendritic and somatic recordings and multisite glutamate uncaging
to investigate the relationship between synaptic input pattern, the form of dendritic integration, and action potential output in CA1
neurons. We found that when synaptic input arrives asynchronously or highly distributed in space, the dendritic arbor performs a linear
integration that allows the action potential rate and timing to vary as a function of the quantity of the input. In contrast, when synaptic
inputarrivessynchronouslyandspatiallyclustered,thedendriticcompartmentreceivingtheclusteredinputproducesahighlynonlinear
integration that leads to an action potential output that is extraordinarily precise and invariant. We also present evidence that both of
these forms of information processing may be independently engaged during the two distinct behavioral states of the hippocampus such
thatindividualCA1pyramidalneuronscouldperformtwodifferentstate-dependentcomputations:inputstrengthencodingduringtheta
states and feature detection during sharp waves.
Key words: CA1; dendrite; integration; nonlinear; sharp wave; theta
Introduction
The rodent hippocampus exhibits two major behaviorally related
states, each displaying a characteristic neuronal population pat-
tern. One of these states occurs as an animal actively explores the

  

Source: Alford, Simon - Department of Biological Sciences, University of Illinois at Chicago

 

Collections: Biology and Medicine