Essays about: "SNN simulation"

Found 3 essays containing the words SNN simulation.

  1. 1. A neuromorphic approach for edge use allocation

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Kim Petersson Steenari; [2022]
    Keywords : Neuromorphic computing; Edge computing; Neuromorphic; Edge; Cloud computing; cloud; SNN; Spiking neural networks; Edge user allocation;

    Abstract : This paper introduces a new way of solving an edge user allocation problem. The problem is to be solved with a network of spiking neurons. This network should quickly and with low energy cost solve the optimization problem of allocating users to servers and minimizing the amount of servers hired to reduce the related hiring cost. READ MORE

  3. 2. Exploring the column elimination optimization in LIF-STDP networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mingda Sun; [2022]
    Keywords : SpikingNeuralNetwork SNN ; neuromorphiccomputing; memoryoptimization; Hebbian learning; Spike-timing-depend plasticity STDP learning; Spiking Neural Network SNN ; neuromorphic computing; minnesoptimering; Hebbisk inlärning; spike-timing-depend plasticity STDP inlärning;

    Abstract : Spiking neural networks using Leaky-Integrate-and-Fire (LIF) neurons and Spike-timing-depend Plasticity (STDP) learning, are commonly used as more biological possible networks. Compare to DNNs and RNNs, the LIF-STDP networks are models which are closer to the biological cortex. READ MORE

  4. 3. Stochastic spiking neural networks based on ferroelectric memory devices

    University essay from Lunds universitet/Fasta tillståndets fysik; Lunds universitet/Fysiska institutionen

    Author : Karolis Sulinskas; [2021]
    Keywords : SNN; FTJ; Stochastic SNN; Spiking neural network; Binary SNN; SNN simulation; Physics and Astronomy;

    Abstract : In the last decade the world has seen a massive explosion of activity in the ma chine learning field. While the benefits of machine learning are ever growing and more impressive, the drawbacks of the technology are becoming clear and can hardly be ignored. READ MORE