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Stephen R. Williams, PhD


Neurobiology Division
Medical Research Council
Laboratory of Molecular Biology
Cambridge, United Kingdom
September 26, 2005

Distributed Synaptic Integration in Cortical Pyramidal Neurons

The neocortex is a complex structure, with each neuron receiving thousands of synaptic inputs from other elements of the network. Dr. Williams aims to explore at a mechanistic level: 1) how individual neurons of the neocortical network integrate synaptic input; and 2) how the pattern of action potential output influences forward transmission of information through neocortical networks. To this end he has developed techniques that enable the recording of postsynaptic potentials (PSP5) from sites throughout the apical dendritic arbor of a class of layer 5 neocortical pyramidal neurons.

Dr. Williams and his laboratory found that single excitatory PSPs (EPSPs) generated at sites remotely in the dendritic arbor have relatively little direct influence on action potential output, due to a uniformity of synaptic conductance. In contrast they found that trains of EPSPs, generated from distal dendritic sites, provide powerful drive action potential output through the engagement of active dendritic spiking mechanisms. Interestingly, they found that identical inputs generated from somatic and distal apical dendritic sites generate action potential output patterns that are statistically distinct and that may be broadly classified as simple single action potential firing and action potential burst firing, respectively.

To explore how such output patterns are propagated through the neocortical network, the lab made multineuronal whole-cell recordings. To their surprise they found that the dynamics of synaptic transmission between layer 5 neocortical pyramidal neurons are tuned to allow the reliable signaling of action potential burst discharges, but not single spikes. Dr. Williams concluded that distal excitatory synaptic inputs decisively control the excitatory synaptic output of layer 5 neocortical pyramidal neurons and, therefore, are a powerful influence on network activity in the neocortex.

 

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