NON-LINEAR MEMRISTIVE SYNAPTIC DYNAMICS FOR EFFICIENT UNSUPERVISED LEARNING IN SPIKING NEURAL NETWORKS

Spiking neural networks (SNNs) are a computational tool in which the information is coded into Callers spikes, as in some parts of the brain, differently from conventional neural networks (NNs) that compute over real-numbers.Therefore, SNNs can implement intelligent information extraction in real-time at the edge of data acquisition and correspond

Sensor integration into machining equipment has become an important factor for gaining deep process insights mainly driven by Callers increasingly smaller and cheaper sensors and transmitters.Due to advances in microelectronics and communication technology, a broader field of applications in production processes and machine tools can be addressed u