Sökning: "Spiking neural network"

Visar resultat 1 - 5 av 30 uppsatser innehållade orden Spiking neural network.

1. 1. Comparing energy efficiency of Leaky integrate-and-fire and Spike response neuron models in Spiking Neural Networks

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Majd Dawli; Imran Bahed Diva; [2023]
   Nyckelord :;

   Sammanfattning : Spiking Neural Networks (SNNs) are a type of neural network that is designed to mimic the way neurons function in our brains. While there have been notable advancements in developing SNNs, energy consumption hasn't been studied to the same extent. This gets especially relevant with steadily increasing network sizes. LÄS MER

3. 2. Evaluating the Effects of Neural Noise in the Multidigraph Learning Rule

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Gustav Bressler; Sigvard Dackevall; [2023]
   Nyckelord :;

   Sammanfattning : There exists a knowledge gap in the field of Computational Neuroscience, where many learning models for neural networks fail to take into account the influence of neural noise. The purpose of this thesis was to address this knowledge gap by investigating the robustness of the Multidigraph learning rule (MDGL) when exposed to two kinds of neural noise: external noise and internal noise. LÄS MER

4. 3. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Dorsa Mohammad; [2023]
   Nyckelord :Artificial Intelligence AI ; Machine Learning ML ; Spiking Neural Network SNN ; Artificial Neural Networks; Healthcare devices; Electrocardiogram ECG ; Neuromorphic computing.; Technology and Engineering;

   Sammanfattning : Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly attracting attentions in many different fields. Healthcare is one of the areas that has greatly benefited from the advances in AI/ML. LÄS MER

5. 4. Comparison of Output Decoding Techniques for Spiking Neural Networks

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Hisham Ahmed; Martin Orrje; [2023]
   Nyckelord :;

   Sammanfattning : Spiking Neural Networks (SNNs) hold significant potential due to their high energy efficiency when implemented on specialized hardware. Central to SNNs is the translation of sequences of spike events to concrete outputs, like class predictions. LÄS MER

7. 5. 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

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

   Författare :Oskar Falkeström; [2023]
   Nyckelord :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.;

   Sammanfattning : 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. LÄS MER