Name
Abstract | ||
|---|---|---|
The paper describes the implementation of competitive neural structures based on a spiking neural model that includes multiplicative or shunting synapses enabling non-saturated stable states in response to different stationary inputs as well as controllable transient responses. A VLSI-viable implementation of this model has been previously proposed and tested [1]. It has the possibility of modulating the output spike frequency by an additional input without affecting other neuron variables such as the membrane potential. This feature is exploited in the simulation of a Selective Temporal Inhibition network that is suitable for implementing attentional control systems. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1023/A:1009611609606 | Neural Processing Letters |
Keywords | Field | DocType |
spiking neurons,competitive processing,temporal inhibition,attentional control mechanisms,bio-inspired neural systems | Transient response,Synapse,Shunting,Pattern recognition,Biological system,Artificial intelligence,Control system,Artificial neural network,Spiking neural network,Neuron,Interneuron,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 3 | 1573-773X |
Citations | PageRank | References |
1 | 0.38 | 2 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eduardo Ros Vidal | 1 | 1 | 0.38 |
| F. J. Pelayo | 2 | 65 | 6.54 |
| P. Martín-Smith | 3 | 29 | 4.04 |
| I. Rojas | 4 | 1750 | 143.09 |
| D. Palomar | 5 | 1 | 0.38 |
| A. Prieto | 6 | 187 | 12.72 |