20 search results - page 2 / 4 » Neurophysiology of a VLSI Spiking Neural Network: LANN21 |
ISCAS
2003
IEEE
13 years 11 months ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
IJCNN
2007
IEEE
13 years 12 months ago
2007
IEEE
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...
ISCAS
2007
IEEE
13 years 12 months ago
2007
IEEE
- This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). Such systems are an alternative to completely...
FCCM
2009
IEEE
13 years 9 months ago
2009
IEEE
Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simul...
IROS
2008
IEEE
14 years 2 days ago
2008
IEEE
— A biologically inspired azimuthal broadband sound localisation system is introduced to simulates the functional organisation of the human auditory midbrain up to the inferior c...