Structure-Adaptable Digital Neural Networks

By Andres Perez-Uribe. 1999

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. J. Urgen Schmidhuber
2. Ammar Belatreche
3. Liam P. Maguire
4. T. McGinnity
5. B. Glackin
6. Qingxiang Wu
7. David R Ha
8. Yoshua Bengio

Citations in the corpus

• Deep learning in neural networks: An overview (2014, background): “evious millennium saw several attempts at creating fast NN-specific hardware (e.g., Jackel et al., 1990; Faggin, 1992; Ramacher et al., 1993; Widrow et al., 1994; Heemskerk, 1995; Korkin et al., 1997; Urlbe, 1999), and at exploiting standard hardware (e.g., Anguita et al., 1994; Muller et al., 1995; ”
• A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware (2005, background): “Spiking neurons differ from conventional artificial neural network models as information is transmitted by the mean of spikes rather than by firing rates [3-6].”