Ontology highlight
ABSTRACT:
SUBMITTER: Osogami T
PROVIDER: S-EPMC4570975 | biostudies-literature | 2015 Sep
REPOSITORIES: biostudies-literature
Osogami Takayuki T Otsuka Makoto M
Scientific reports 20150916
An artificial neural network, such as a Boltzmann machine, can be trained with the Hebb rule so that it stores static patterns and retrieves a particular pattern when an associated cue is presented to it. Such a network, however, cannot effectively deal with dynamic patterns in the manner of living creatures. Here, we design a dynamic Boltzmann machine (DyBM) and a learning rule that has some of the properties of spike-timing dependent plasticity (STDP), which has been postulated for biological ...[more]