Essays about: "neuron thesis"

Showing result 1 - 5 of 51 essays containing the words neuron thesis.

1. 1. Glucose Sensing and Differentiating Systems with Organic Electrochemical Neurons : A Future Outlook for Type 2 Diabetes

   University essay from Linköpings universitet/Institutionen för teknik och naturvetenskap

   Author : Sophie Ziske; [2024]
   Keywords : organic electronics; organic electrochemical neuron; organic electrochemical transistor; type 2 diabetes; closed-loop system; Axon-Hillock neuron; astable multivibrator; vagus nerve stimulation; glucose sensing and differentiation; applied physics; biomedical engineering; electronics;

   Abstract : In recent years great advances in the field of biomedical engineering and organic electronics have been achieved. One promising application would be the regulation of blood glucose concentration in type 2 diabetes patients. This application would eliminate medication and would improve the standard of life. READ MORE

3. 2. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

   Author : Jiayi Feng; [2023]
   Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

   Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE

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

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

   Author : Gustav Bressler; Sigvard Dackevall; [2023]
   Keywords : ;

   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

5. 4. 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

6. 5. Fractional proportional-integrative-derivative controller : Design, analysis and applications to DC motor and single neuron spiking

   University essay from Uppsala universitet/Institutionen för elektroteknik

   Author : Hassan Soltani; [2023]
   Keywords : Fractional; FPID;

   Abstract : This thesis aims to explore and compare the performance of fractional proportional-integrative-derivative controllers in the DC motor system and the fractional leaky integrate and fire (FLIF) model for neuron spike signals. The objective is to determine whether FPID controllers exhibit superior performance and significant improvements in control compared to PID controllers. READ MORE