Conference Paper (published)

Synaptic dynamics influence the phase of a neural response

Details

Citation

Graham B (2011) Synaptic dynamics influence the phase of a neural response. In: Proceedings of the 2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011. 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Adelaide, Australia, 06.12.2011-09.12.2011. Piscataway, NJ, USA: IEEE, pp. 79-84. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6146550&abstractAccess=no&userType=inst; https://doi.org/10.1109/ISSNIP.2011.6146550

Abstract
The postsynaptic response of a neuron to time-varying inputs is determined by the interaction of presynaptic spike times with the short-term dynamics of each synapse. Such synaptic dynamics makes the postsynaptic neuron more sensitive to input rate fluctuations than to average firing rates. Here we show that the postsynaptic neural spiking response to a rhythmically frequency-modulated population input can exhibit a predictive phase lead due to depressing synapses. The magnitude of the lead increases with increasing correlations between the input spike trains. Facilitation and vesicle recycling rates also influence the phase.

StatusPublished
Publication date31/12/2011
Publication date online31/12/2011
PublisherIEEE
Publisher URLhttp://ieeexplore.ieee.org/…no&userType=inst
Place of publicationPiscataway, NJ, USA
ISBN978-1-4577-0675-2
Conference2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
Conference locationAdelaide, Australia
Dates

People (1)

Professor Bruce Graham

Professor Bruce Graham

Emeritus Professor, Computing Science