BSA, a fast and accurate spike train encoding scheme

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.

[1]  William Bialek,et al.  Spikes: Exploring the Neural Code , 1996 .

[2]  Gabbiani,et al.  Encoding and processing of sensory information in neuronal spike trains , 1999, The Journal of experimental biology.

[3]  Christopher J. Bishop,et al.  Pulsed Neural Networks , 1998 .

[4]  Christof Koch,et al.  Linear Stimulus Encoding and Decoding , 1999 .

[5]  Hugo de Garis,et al.  "CBM (CAM-BRAIN MACHINE)" A Hardware Tool which Evolves a Neural Net Module in a Fraction of a Second and Runs a Million Neuron Artificial Brain in Real Time , 1997 .

[6]  Fabrizio Gabbiani,et al.  Coding of time-varying signals in spike trains of linear and half-wave rectifying neurons. , 1996, Network.

[7]  Wulfram Gerstner,et al.  Spiking Neuron Models , 2002 .

[8]  Hugo de Garis,et al.  Evolving an optimal de/convolution function for the neural net modules of ATR's artificial brain project , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

[9]  Peter Dayan,et al.  Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems , 2001 .

[10]  Wofgang Maas,et al.  Networks of spiking neurons: the third generation of neural network models , 1997 .

[11]  Jason Lohn Proceedings the second NASA/DoD workshop on evolvable hardware , 2000, Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware.

[12]  Gary Fehr,et al.  Evolving hardware on a large scale , 2000, Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware.

[13]  Sander M. Bohte,et al.  SpikeProp: backpropagation for networks of spiking neurons , 2000, ESANN.