Essays about: "Spiking Neural Networks"
Showing result 1 - 5 of 30 essays containing the words Spiking Neural Networks.
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1. Adversarial robustness of STDP-trained spiking neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Adversarial attacks on machine learning models are designed to elicit the wrong behavior from the model. One such attack on image classifiers are maliciously crafted inputs that, to the human eye, look untampered with but have been carefully altered to cause misclassification. READ MORE
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2. Comparing energy efficiency of Leaky integrate-and-fire and Spike response neuron models in Spiking Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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3. Evaluating the Effects of Neural Noise in the Multidigraph Learning Rule
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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4. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : 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. READ MORE
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5. Comparison of Output Decoding Techniques for Spiking Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
