6 search results - page 1 / 2 » Input arrival-time-dependent decoding scheme for a spiking n... |
ESANN
2004
13 years 5 months ago
2004
Spiking neurons model a type of biological neural system where information is encoded with spike times. In this paper, a new method for decoding input spikes according to their abs...
NECO
2007
13 years 4 months ago
2007
Analog neural signals must be converted into spike trains for transmission over electrically leaky axons. This spike encoding and subsequent decoding leads to distortion. We quant...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
BC
2007
13 years 4 months ago
2007
We consider the issue of how to read out the information from nonstationary spike train ensembles. Based on the theory of censored data in statistics, we propose a ‘censored’ m...
IWANN
2011
Springer
12 years 7 months ago
2011
Springer
Abstract. We study how primary tactile afferents encode relevant contact features to mediate early processing of haptic information. In this paper, we apply metrical information t...