Essays about: "spiking neural networks"

Showing result 6 - 10 of 30 essays containing the words spiking neural networks.

  1. 6. A Bayesian Bee Colony Algorithm for Hyperparameter Tuning of Stochastic SNNs : A design, development, and proposal of a stochastic spiking neural network and associated tuner

    University essay from Uppsala universitet/Signaler och system

    Author : Oskar Falkeström; [2023]
    Keywords : edge computing; edge user allocation; constraint satisfaction problem; bin packing problem; spiking neural networks; SNN; stochastic spiking neural networks; neuromorphic computing; hyperparameter tuning; swarm intellience; artificial bee colony algorithm; tree-structured Parzen estimator; stochastic optimization; Bayesian optimization.;

    Abstract : With the world experiencing a rapid increase in the number of cloud devices, continuing to ensure high-quality connections requires a reimagining of cloud. One proponent, edge computing, consists of many distributed and close-to-consumer edge servers that are hired by the service providers. READ MORE

  3. 7. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency

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

    Author : Nathan Allard; [2023]
    Keywords : ;

    Abstract : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. READ MORE

  4. 8. 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

  5. 9. 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

  6. 10. 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