Essays about: "Learning Brain"

Showing result 16 - 20 of 200 essays containing the words Learning Brain.

  1. 16. Estimating Brain Maturation in Very Preterm Neonates : An Explainable Machine Learning Approach

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

    Author : Patrik Svensson; [2023]
    Keywords : Preterm Neonates; Brain Maturation; aEEG; Explainable Machine Learning; Feature Importance;

    Abstract : Introduction: Assessing brain maturation in preterm neonates is essential for the health of the neonates. Machine learning methods have been introduced as a prospective assessment tool for neonatal electroencephalogram(EEG) signals. READ MORE

  3. 17. Detecting early-stage Alzheimer’s disease with Machine Learning algorithms

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Jakob Mukka; [2023]
    Keywords : Machine Learning; Random Forest; AdaBoost; Logistic Regression;

    Abstract : Alzheimer’s disease (AD) accounts for the majority of all cases of dementia and can be characterized as a disease that causes a progressive decline of cognitive functions. Detecting the disease at it’s earliest stage is important as medical treatments can be more effective if they can be applied before the disease has caused irreparable brain damage. READ MORE

  4. 18. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : M Asjid Tanveer; [2023]
    Keywords : Technology and Engineering;

    Abstract : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. READ MORE

  5. 19. Body patterning and cognition in cephalopods - a literature review

    University essay from SLU/Dept. of Animal Environment and Health

    Author : Georgina Chu; [2023]
    Keywords : cephalopods; octopus; body patterning; colour alteration; chromatophores; pigment cells; cognition; learning and memory;

    Abstract : Cephalopods are a valuable model for studying the evolution of cognition due to their distinctive brain structure, organisation, and connectivity patterns compared to vertebrates. The development of large brains and behavioural complexities are believed to be triggered by evolutionary pressures stemming from factors like heightened predation, more demanding foraging conditions, and intense mating competition. READ MORE

  6. 20. Modelling synaptic rewiring in brain-like neural networks for representation learning

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

    Author : Kunal Bhatnagar; [2023]
    Keywords : Adaptive Sparsity; Computational Neuroscience; Rewiring; Structural Plasticity; Brain-like Computing; Neural Networks; Hebbian Learning; Adaptiv gleshet; beräkningsneurovetenskap; omkoppling; strukturell plasticitet; Hjärnliknande beräkning; Neurala Nätverk; Hebbskt lärande;

    Abstract : This research investigated the concept of a sparsity method inspired by the principles of structural plasticity in the brain in order to create a sparse model of the Bayesian Confidence Propagation Neural Networks (BCPNN) during the training phase. This was done by extending the structural plasticity in the implementation of the BCPNN. READ MORE