TempUnit: A bio-inspired neural network model for signal processing By Olivier FL. Manette, Marc A. Maier

27Sep07

Abstract – We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal summation as observed in biological neurons. Its particularity is to adapt its basis function by supervised learning. The model was tested on cortical and associated muscular (EMG) recordings from the behaving primate.

  1. The TempUnit showed a 2.3 times better performance in mapping spiking to EMG activity than a time delay multi-layer perceptron.
  2. Data compression capacity of the TempUnit was tested on audio data and compared to the MP3 compression standard. For a similar reproduction quality, we found a compression rate 5 times higher than in MP3.

Read full PDF article here => TempUnit: A bio-inspired neural network model

Publicités


No Responses Yet to “TempUnit: A bio-inspired neural network model for signal processing By Olivier FL. Manette, Marc A. Maier”

  1. Laisser un commentaire

Laisser un commentaire

Entrez vos coordonnées ci-dessous ou cliquez sur une icône pour vous connecter:

Logo WordPress.com

Vous commentez à l'aide de votre compte WordPress.com. Déconnexion / Changer )

Image Twitter

Vous commentez à l'aide de votre compte Twitter. Déconnexion / Changer )

Photo Facebook

Vous commentez à l'aide de votre compte Facebook. Déconnexion / Changer )

Photo Google+

Vous commentez à l'aide de votre compte Google+. Déconnexion / Changer )

Connexion à %s


%d blogueurs aiment cette page :