Essays about: "axons"

Showing result 1 - 5 of 8 essays containing the word axons.

  1. 1. The data-driven CyberSpine : Modeling the Epidural Electrical Stimulation using Finite Element Model and Artificial Neural Networks

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

    Author : Yu Qin; [2023]
    Keywords : Spinal Cord Injury; Epidural Electrical Stimulation; Computational Neuroscience; Finite Element Model; Artificial Intelligence; Optimal Transport; EMG; Muscle Activation; Ryggmärgsskada; Epidural Elektrisk Stimulering; Beräkningsneurovetenskap; Finita Elementmodellen; Artificiell Intelligens; Optimal Transport; EMG; Muskelaktivering;

    Abstract : Every year, 250,000 people worldwide suffer a spinal cord injury (SCI) that leaves them with chronic paraplegia - permanent loss of ability to move their legs. SCI interrupts axons passing along the spinal cord, thereby isolating motor neurons from brain inputs. To date, there are no effective treatments that can reconnect these interrupted axons. READ MORE

  2. 2. Peripheral Nervous Network Simulator : A Computer Networks approach

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Baha Eddine Hmidi; [2022]
    Keywords : peripheral nervous system; nerve damage; signal blockage; node; graph; network emulator;

    Abstract : The peripheral nervous system can be seen as a huge network of neurons that prop-agates signals across the human body. In fact, as seen in [1] , "All the information streaming in the peripheral nervous system (PNS) is transmitted along axons byelectro-chemical signals called action potentials". READ MORE

  3. 3. Childhood Habituation in Evolution of Augmenting Topologies (CHEAT)

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Anton Moberg; [2020]
    Keywords : Neuroevolution; genetic algorithm; machine learning; ML; CHEAT; Childhood Habituation in Evolution of Augmenting Topologies; optimization; artificial neural network; self evolving; model selection; Physics and Astronomy;

    Abstract : Neuroevolution is a field within machine learning that applies genetic algorithms to train artificial neural networks. Neuroevolution of Augmenting Topologies (NEAT) is a method that evolves both the topology of the network and trains the weights of the network at the same time, and has been found to successfully solve reinforcement learning problems efficiently and the XOR problem with a minimal topology. READ MORE

  4. 4. Automatic Segmentation and Classification of Multiple Sclerosis Lesions Using Quantitative Magnetic Resonance Imaging

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Johanna Alfredsson; [2019]
    Keywords : Lesion Segmentation; Multiple Sclerosis; MS; Synthetic MRI; MRI; Lesion Evolution; Lesion Progression; Lesion Analysis; Medical Imaging; qMRI; Quantitative MR; Automatic Segmentation;

    Abstract : Multiple sclerosis is a neurological disease causing a degeneration of myelin around the axons in the central nervous system. This process leaves traces in the form of lesions, which can be distinguished in an MRI examination. It is important to detect these at an early stage to state diagnosis and initiate medication. READ MORE

  5. 5. Diffusion MRI of Brain Tissue: Importance of Axonal Trajectory

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Kärnfysik

    Author : Jan Brabec; [2018]
    Keywords : dMRI; diffusion magnetic resonance; axonal trajectory; axonal geometry; undulations; modeling; axons; inverse problem; diffusion spectrum; time-dependent diffusion; Physics and Astronomy;

    Abstract : Obtaining microstructural information non-invasively on brain tissue remains a challenge. Diffusion magnetic resonance imaging (dMRI) is an imaging method that can provide such information. That includes geometrical considerations of nerve cells projections, axons, that are present in the white matter of the human brain. READ MORE