neural network

Muhammad Esmat

Visiting Scholar (former), King Abdullah University of Science and Technology

machine learning neural network

Visiting student at, King Abdullah University of Science and Technology (KAUST).

Memristor-based Synaptic Sampling Machines

1 min read · Thu, Apr 26 2018

biological neural network Biosensors synapses Synaptic Sampling Machine SSM

Dolzhikova, I, et al., "Memristor-based Synaptic Sampling Machines. In 2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO), 2018, 425. Synaptic Sampling Machine (SSM) is a type of neural network model that considers biological unreliability of the synapses. We propose the circuit design of the SSM neural network which is realized through the memristive-CMOS crossbar structure with the synaptic sampling cell (SSC) being used as a basic stochastic unit. The increase in the edge computing devices in the Internet of things era, drives the need for hardware acceleration for data