Title :
BSA, a fast and accurate spike train encoding scheme
Author :
Schrauwen, Benjamin ; Van Campenhout, Jan
Author_Institution :
Electron. & Inf. Syst. Dept., Ghent Univ., Belgium
Abstract :
In this paper we introduce a new algorithm for encoding analog information into spike trains, given that the reconstruction will take place using a FIR filter. An older technique called HSA is reviewed and an optimal threshold value is found. A new technique called BSA is introduced. These methods are then compared experimentally.
Keywords :
FIR filters; decoding; encoding; neurophysiology; physiological models; signal reconstruction; BSA; FIR filter; HSA; spike train encoding scheme; spiking neural models; Biological information theory; Biological neural networks; Biological system modeling; Decoding; Encoding; Fires; Information systems; Neurons; Neuroscience; Timing;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1224019