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Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivo

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Pawlak,  V
Former Research Group Network Imaging, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Greenberg,  DS
Former Research Group Network Imaging, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Kerr,  Jason ND
Former Research Group Network Imaging, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Pawlak, V., Greenberg, D., Sprekeler, H., Gerstner, W., & Kerr, J. N. (2013). Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivo. eLife, 2, 1-18. doi:10.7554/eLife.00012.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-B512-7
Abstract
Action Potential (APs) patterns of sensory cortex neurons encode a variety of stimulus features, but how can a neuron change the feature to which it responds? Here, we show that in vivo a spike-timing-dependent plasticity (STDP) protocol—consisting of pairing a postsynaptic AP with visually driven presynaptic inputs—modifies a neurons' AP-response in a bidirectional way that depends on the relative AP-timing during pairing. Whereas postsynaptic APs repeatedly following presynaptic activation can convert subthreshold into suprathreshold responses, APs repeatedly preceding presynaptic activation reduce AP responses to visual stimulation. These changes were paralleled by restructuring of the neurons response to surround stimulus locations and membrane-potential time-course. Computational simulations could reproduce the observed subthreshold voltage changes only when presynaptic temporal jitter was included. Together this shows that STDP rules can modify output patterns of sensory neurons and the timing of single-APs plays a crucial role in sensory coding and plasticity.