Name
Abstract | ||
|---|---|---|
We have made intracellular recordings from sustaining fibers of the crayfish eye that contain both post-synaptic potentials and the neuron's spike train. We separated the spike train from the post-synaptic potential using a wavelet-based technique known as denoising. We compared the information expressed in the post-synaptic potentials to that contained in the spike train. Information transfer efficacy was small (on the order of 10(-3)), but as large as could be given the sustaining fiber's low spike discharge rate. Thus, spike generation is as effective as could be expected. (C) 2000 Elsevier Science B.V. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1016/S0925-2312(00)00278-2 | NEUROCOMPUTING |
Keywords | Field | DocType |
spike generation,neural information processing,crayfish,visual system | Noise reduction,Pattern recognition,Information transfer,Spike train,Computer science,Speech recognition,Artificial intelligence,Machine learning,Wavelet | Journal |
Volume | ISSN | Citations |
32 | 0925-2312 | 5 |
PageRank | References | Authors |
1.53 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Don H. Johnson | 1 | 386 | 69.70 |
| Charlotte M Gruner | 2 | 10 | 3.13 |
| Raymon M. Glantz | 3 | 22 | 5.49 |