Name
Title | ||
|---|---|---|
Transmission of distributed deterministic temporal information through a diverging/converging three-layers neural network |
Abstract | ||
|---|---|---|
This study investigates the ability of a diverging/converging neural network to transmit and integrate a complex temporally organized activity embedded in afferent spike trains. The temporal information is originally generated by a deterministic nonlinear dynamical system whose parameters determine a chaotic attractor. We present the simulations obtained with a network formed by simple spiking neurons (SSN) and a network formed by a multiple-timescale adaptive threshold neurons (MAT). The assessment of the temporal structure embedded in the spike trains is carried out by sorting the preferred firing sequences detected by the pattern grouping algorithm (PGA). The results suggest that adaptive threshold neurons are much more efficient in maintaining a specific temporal structure distributed across multiple spike trains throughout the layers of a feed-forward network. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15819-3_19 | ICANN (1) |
Keywords | Field | DocType |
temporal information,spike train,specific temporal structure,multiple-timescale adaptive threshold neuron,temporal structure,neural network,deterministic temporal information,multiple spike train,afferent spike train,adaptive threshold neuron,feed-forward network,three-layers neural network,feed forward,spiking neural networks,adaptive thresholding,computational neuroscience | Attractor,Computational neuroscience,Spike train,Computer science,Random neural network,Sorting,Artificial intelligence,Echo state network,Artificial neural network,Spiking neural network,Machine learning | Conference |
Volume | ISSN | ISBN |
6352 | 0302-9743 | 3-642-15818-8 |
Citations | PageRank | References |
2 | 0.41 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshiyuki Asai | 1 | 30 | 7.56 |
| Alessandro E . P. Villa | 2 | 348 | 53.26 |