Abstract
During the eye-opening development phase in mice, in primary visual cortex, changes in GABAA postsynaptic receptor function appear to occur in a highly regulated manner. In particular, significant correlation [1,2] exists between the developmental reduction in the duration of inhibitory postsynaptic currents (IPSCs) and the concomitant developmental changes in total inhibitory synaptic weight (Figure 1). Using a computational model [3], we characterize the extent to which GABAA receptor plasticity and changes in synaptic weight affect the input-output transfer of a neocortical microcircuit consisting of pyramidal cells with reciprocal synaptic connections to perisomatic innervating interneurons. We found that when developmental GABAA receptor plasticity is matched by a gradual shift in overall inhibitory synaptic weight, inputoutput constancy is created with respect to both firing frequency (Figure 2) and spike train patterning. We propose that GABAA receptor plasticity matches the concomitant shift in synaptic weight per neuron in order to guarantee homeostasis of microcircuit function. We discuss the putative relevance of such a regulatory mechanism in terms of neocortical development. In addition to demonstrating homeostasis of neuronal activity during maturation of the GABAergic synaptic network, we show that IPSC decay affect burst firing, that accelerating the IPSC decay appears to reduce the extent of flicker fusion, and that changing the IPSC decay provides the microcircuit with a synaptic mechanism for gain modulation. from Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 Berlin, Germany. 18–23 July 2009
Highlights
Ronald AJ van Elburb*1,2, Laurens WJ Bosman3, Margreet C Ridder1, Arjen B Brussaard1 and Arjen van Ooyen1
Significant correlation [1,2] exists between the developmental reduction in the duration of inhibitory postsynaptic currents (IPSCs) and the concomitant developmental changes in total inhibitory synaptic weight (Figure 1)
We found that when developmental GABAA receptor plasticity is matched by a gradual shift in overall inhibitory synaptic weight, inputoutput constancy is created with respect to both firing frequency (Figure 2) and spike train patterning
Summary
Ronald AJ van Elburb*1,2, Laurens WJ Bosman3, Margreet C Ridder1, Arjen B Brussaard1 and Arjen van Ooyen1. Address: 1Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, VU University Amsterdam, The Netherlands, 2Department of Artificial Intelligence, Faculty of Mathematics and Natural Sciences, University of Groningen, The Netherlands and 3Department of Neuroscience, Erasmus Medical Center, Rotterdam, The Netherlands Email: Ronald AJ van Elburb* - elburg@ai.rug.nl * Corresponding author from Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 Berlin, Germany.
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have