Control of criticality and computation in spiking neuromorphic networks with plasticity
oleh: Benjamin Cramer, David Stöckel, Markus Kreft, Michael Wibral, Johannes Schemmel, Karlheinz Meier, Viola Priesemann
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-06-01 |
Deskripsi
Designing efficient artificial networks able to quickly converge to optimal performance for a given task remains a challenge. Here, the authors demonstrate a relation between criticality, task-performance and information theoretic fingerprint in a spiking neuromorphic network with synaptic plasticity.