Name
Abstract | ||
|---|---|---|
Spatial interactions over a local neighborhood betweenneurons is common in many models of neural networks.The spatial interaction is often shaped to allow for improvedresponse in the application for which the networkis constructed #e.g. signal detection or sensorysegmentation#. In this paper, we study an additionale#ect that can occur when such spatial interactions areimposed. Speci#cally, we #nd that the net input receivedby a neuron from neighboring neurons can induce stochastic... |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/IJCNN.1999.831570 | IJCNN |
Keywords | Field | DocType |
detectors,signal detection,stochastic resonance,neural nets,stochastic processes,neural network,image segmentation,neural networks,oscillators,computer networks,signal to noise ratio,resonance | Detection theory,Computer science,Signal-to-noise ratio,Stochastic neural network,Stochastic process,Stochastic resonance (sensory neurobiology),Artificial intelligence,Stochastic resonance,Artificial neural network,Neuron,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ravi Kothari | 1 | 755 | 53.03 |
| Ming Dong | 2 | 1 | 2.07 |
| Dinesh K. Bhatia | 3 | 9 | 3.11 |