Fast Analog Computation in Networks of Spiking Neurons Using Unreliable
T. Natschlaeger and W. Maass
We investigate through theoretical analysis and computer simulations the
consequences of unreliable synapses for fast analog computations in networks
of spiking neurons, with analog variables encoded by the firing activities of
pools of spiking neurons. Our results suggest that the known unreliability of
synaptic transmission may be viewed as a useful tool for analog computing,
rather than as a ``bug'' in neuronal hardware. We also investigate
computations on analog time series encoded by the firing activities of pools
of spiking neurons.
Reference: T. Natschlaeger and W. Maass.
Fast analog computation in networks of spiking neurons using unreliable
In ESANN'99 Proceedings of the European Symposium on Artificial Neural
Networks, pages 417-422, Bruges, Belgium, 1999.