Essays about: "neural modulation"

Showing result 1 - 5 of 20 essays containing the words neural modulation.

  1. 1. Channel Estimation Optimization in 5G New Radio using Convolutional Neural Networks

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : David Adolfsson; [2023]
    Keywords : Channel Estimation; 5G NR; CNN; Kanalestimering; 5G NR;

    Abstract : Channel estimation is the process of understanding and analyzing the wireless communication channel's properties. It helps optimize data transmission by providing essential information for adjusting encoding and decoding parameters. READ MORE

  3. 2. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Kevin Coleman; [2023]
    Keywords : Radar Emitter Classification; Pulse Descriptor Word; Out of Distribution Detection; Dataset Drift; Uncertainty Estimation; Deep Ensembles; Recurrent Neural Networks; LSTM;

    Abstract : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. READ MORE

  4. 3. Neural Correlates of Parkinson’s Disease Motor Symptoms : A pipeline for exploration of correlation between neural and kinematic data

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Evelyn Steinbrück; [2022]
    Keywords : Parkinson’s Disease; neural modulation; neurodegenerative disorders; DBS; DCS; closed-loop neural stimulation;

    Abstract : Parkinson’s Disease (PD) is a neurodegenerative disorder, within this categoryof diseases it is among the most prevalent worldwide. The etiology of PD isbased in progressive deterioration of neural tissue in the basal ganglia (neuronalnuclei located at the base of the cerebrum) and their related structures. READ MORE

  5. 4. Role of Context in Episodic Memory : A Bayesian-Hebbian Neural Network Model of Episodic Recall

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

    Author : Rohan Raj; [2022]
    Keywords : episodic memory; long-term memory; Bayesian Confidence Propagation Neural Network; synaptic plasticity; plasticity modulation; computational neuroscience;

    Abstract : Episodic memory forms a fundamental aspect of human memory that accounts for the storage of events as well as the spatio-temporal relations between events during a lifetime. These spatio-temporal relations in which episodes are embedded can be understood as their contexts. Contexts play a crucial role in episodic memory retrieval. READ MORE

  6. 5. Uncertainty Estimation for Deep Learning-based LPI Radar Classification : A Comparative Study of Bayesian Neural Networks and Deep Ensembles

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

    Author : Måns Ekelund; [2021]
    Keywords : LPI radar; Uncertainty Quantification; Deep Learning; Bayesian Neural Networks; Deep Ensembles; LPI radar; Osäkerhetsskattning; Djupinlärning; Bayesianska neurala nätverk; Djupa ensembler;

    Abstract : Deep Neural Networks (DNNs) have shown promising results in classifying known Low-probability-of-intercept (LPI) radar signals in noisy environments. However, regular DNNs produce low-quality confidence and uncertainty estimates, making them unreliable, which inhibit deployment in real-world settings. READ MORE