Core processing neuron‐enabled circuit motifs for neuromorphic computing

Photonic Neuromorphic Signal Processing and Computing

There has been a recent explosion of interest in spiking neural networks (SNNs), which code information as spikes or events in time. Spike encoding iswidely accepted as the information medium underlying the brain, but it has also inspired a new generation of neuromorphic hardware. Although electronics can match biological time scales and exceed them, they eventually reach a bandwidth fan-in tra...

Bio-inspired visual signal processing based on neuromorphic circuit

This paper describes the bio-inspired visual signal processing by neuromorphic system, mimicking the primitive behaviour of visual cortex. The neuromorphic components are investigated for implementation of the visual signal selectivity of cortex, based on the CMOS conductance-based synaptic connections and neurons of Hodgkin-Huxley formalism. The proposed neuromorphic system exhibits the biolog...

simulation and design of electronic processing circuit for restaurants e-procurement system

the poor orientation of the restaurants toward the information technology has yet many unsolved issues in regards to the customers. one of these problems which lead the appeal list of later, and have a negative impact on the prestige of the restaurant is the case when the later does not respond on time to the customers’ needs, and which causes their dissatisfaction. this issue is really sensiti...

Tutorial: Neuromorphic computing

A differential memristive synapse circuit for on-line learning in neuromorphic computing systems

Spike-based learningwithmemristive devices in neuromorphic computing architectures typically uses learning circuits that require overlapping pulses frompreand post-synaptic nodes. This imposes severe constraints on the length of the pulses transmitted in the network, and on the network’s throughput. Furthermore,most of these circuits do not decouple the currentsflowing through memristive device...