Name
Abstract | ||
|---|---|---|
As a simplified analogy of the function that the real neurons and synapses do by chemical particles, a new type of neuron model is proposed including its simulated synaptic function where the symbolized particles are generated, emitted, stored and transmitted toward the neurons of the next layer. The several kinds of chemical particles have been discovered on the recent scientific knowledge. The simulated system of the model was applied to the analysis of voice signals, and obtained useful results such that avert with a single neuron including the unit simulated synapse, the examined voices demonstrated a high degree of recognition. The reaction mechanism in simulated synaptic region would be shown by some strategy |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/IJCNN.1999.831543 | IJCNN |
Keywords | Field | DocType |
auditory evoked potentials,neural nets,neurophysiology,physiological models,auditory neurons,neuron model,simulated synaptic region,symbolized particles,synapse,synaptic function,scientific knowledge,artificial neural networks,reaction mechanism,nervous system,signal analysis | Synapse,Biological neuron model,Pattern recognition,Neurophysiology,Computer science,Artificial intelligence,Spiking neural network,Artificial neural network,Neuron | Conference |
Volume | ISSN | ISBN |
1 | 1098-7576 | 0-7803-5529-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazunori Miyamoto | 1 | 0 | 0.68 |
| Aman, H. | 2 | 0 | 0.34 |
| T. Yanaru | 3 | 16 | 6.03 |
| Nagamatsu, M. | 4 | 0 | 0.34 |