Skip to Main content Skip to Navigation
Conference papers

NP-SOM: network programmable self-organizing maps

Abstract : Self-organizing maps (SOM) are a well-known and biologically plausible model of input-driven self-organization that has shown to be effective in a wide range of applications. We want to use SOMs to control the processing cores of a massively parallel digital reconfigurable hardware, taking into account the communication constraints of its underlying network-on-chip (NoC) thanks to bio-inspired principles of structural plasticity. Although the SOM accounts for synaptic plasticity, it doesn't address structural plasticity. Therefore we have developed a model, namely the NP-SOM (network programmable self-organizing map), able to define SOMs with different underlying topologies as the result of a specific configuration of the associated NoC. To gain insights on a future introduction of advanced structural plasticity rules that will induce dynamic topological modifications, we investigate and quantify the effects of different hardware-compatible topologies on the SOM performance. To perform our tests we consider a lossy image compression as an illustrative application.
Document type :
Conference papers
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download

https://hal.inria.fr/hal-02058458
Contributor : Bernard Girau <>
Submitted on : Wednesday, March 6, 2019 - 3:39:56 AM
Last modification on : Friday, March 8, 2019 - 1:27:25 AM
Long-term archiving on: : Friday, June 7, 2019 - 8:21:15 PM

File

NP_SOM__network_programmable_s...
Files produced by the author(s)

Identifiers

Citation

Yann Bernard, Emeline Buoy, Adrien Fois, Bernard Girau. NP-SOM: network programmable self-organizing maps. 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2018, Volos, Greece. pp.908-915, ⟨10.1109/ICTAI.2018.00141⟩. ⟨hal-02058458⟩

Share

Metrics

Record views

81

Files downloads

223