Essays about: "Spiking Neural Network"

Showing result 6 - 10 of 30 essays containing the words Spiking Neural Network.

  1. 6. Noise Robustness of CNN and SNN for EEG Motor imagery classification

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

    Author : Merlin Sewina; [2023]
    Keywords : Machine Learning; Spiking Neural Networks; Convolutional Neural Networks; EEG;

    Abstract : As an able-bodied human, understanding what someone says during a phone call with a lot of background noise is usually a task that is quite easy for us as we are aware of what the information is we want to hear, e.g. the voice of the person we are talking to, and the information that is noise, e.g. READ MORE

  3. 7. Neuromorphic Medical Image Analysis at the Edge : On-Edge training with the Akida Brainchip

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

    Author : Ebba Bråtman; Lucas Dow; [2023]
    Keywords : ;

    Abstract : Computed Tomography (CT) scans play a crucial role in medical imaging, allowing neuroscientists to identify intracranial pathologies such as haemorrhages and malignant tumours in the brain. This thesis explores the potential of deep learning models as an aid in intracranial pathology detection through medical imaging. READ MORE

  4. 8. Analysing the Energy Efficiency of Training Spiking Neural Networks

    University essay from KTH/Datavetenskap

    Author : Richard Liu; Fredrik Bixo; [2022]
    Keywords : Spiking Neural Networks; SNN; SLAYER; SRM; Energy consumption; Efficiency; DVS; Event Based Vision; Spikande neuronnät; SNN; SLAYER; SRM; Energikonsumption; Effektivitet; DVS; Event Based Vision;

    Abstract : Neural networks have become increasingly adopted in society over the last few years. As neural networks consume a lot of energy to train, reducing the energy consumption of these networks is desirable from an environmental perspective. READ MORE

  5. 9. 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

  6. 10. Exploring Column Update Elimination Optimization for Spike-Timing-Dependent Plasticity Learning Rule

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

    Author : Ojasvi Singh; [2022]
    Keywords : Spike-Timing Dependent Plasticity; neuromorphic computing; Hebbian Learning; Spiking Neural Networks; memory optimization.; Spike-Timing Beroende Plasticitet; neuromorfisk beräkning; Hebbiansk inlärning; Spiking Neural Networks; Minnes optimering;

    Abstract : Hebbian learning based neural network learning rules when implemented on hardware, store their synaptic weights in the form of a two-dimensional matrix. The storage of synaptic weights demands large memory bandwidth and storage. READ MORE