Name
Abstract | ||
|---|---|---|
Neuromodulation is an interesting way to display different modes of functioning in a complex network. The effect of Noradrenaline has often been related to the exploration/exploitation trade-off and implemented in models by modulation of the gain of activation function. In this paper, we show that this mechanism is not sufficient for system-level networks and propose another way to implement it, exploiting reported inhibition of a striatal region by Noradrenaline. We describe here the corresponding model and report its performances in a reversal task. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-44778-0_25 | ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2016, PT I |
Keywords | Field | DocType |
Neuromodulation, Bio-inspiration, Decision making | System level model,Computer science,Activation function,Modulation,Neuromodulation,Artificial intelligence,Complex network,Machine learning | Conference |
Volume | ISSN | Citations |
9886 | 0302-9743 | 1 |
PageRank | References | Authors |
0.39 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maxime Carrere | 1 | 2 | 1.45 |
| Frédéric Alexandre | 2 | 82 | 15.94 |