Coding capacity of synchronous neuronal activity: reliable sparse code by synchrony within a dendritic compartment

  • Authors:
  • Márton A. Hajnal

  • Affiliations:
  • Eötvös Loránd University, Department of Intelligent Systems, Neural Information Processing Group, Budapest, Hungary

  • Venue:
  • NN'09 Proceedings of the 10th WSEAS international conference on Neural networks
  • Year:
  • 2009

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Abstract

Functional role of synchronous synaptic inputs to a dendritic compartment was studied. The framework of time-wise sparse coding and voltage-wise signal to noise ratios is layed out. The proportion of width of excitatory postsynaptic potential to the average period of a constantly firing input neuron define the available capacity of sparse coding in time. The reliability of transmission nonlinearly amplified if a small proportion of input neurons fire closely synchronous to each other. The asynchronous baseline, the salient synchronous peak and the theoretical maximum voltage at full synchronization determine the frame of signal to noise analysis. The available headroom between background and full sync peak and the signal to noise ratio are demonstrated to widen significantly when level of synchrony increases. Jitter reduces the signal to noise ratio and available headroom; at high synchrony level independently from input rate.