MARS Home
→
College of Engineering and Computing
→
Neural Engineering Research
→
Neural Engineering Student Projects
→
Browsing Neural Engineering Student Projects by Issue Date

Browsing Neural Engineering Student Projects by Issue Date

Now showing items 1-20 of 42

Optogenetics: Using Light to Investigate and Potentially Treat Neurological and Psychological Disorders

Kub, Michael (2019)

Optogenetics is an innovative neuromodulation technique involving the use of light and light-sensitive proteins to control molecular events within a genetically modified cell. The fundamental mechanism behind optogenetics ...
Spiking Dynamics Observed in Three Neurons

Perera, Kevin (2019)

A leaky integrate and fire (LIF) model is a basic mathematical model designed to simulate a neuron. The simplicity and relative ease with which network architectures can be constructed using patterns of LIF neurons make ...
Stimulation and Recording of Compound Action Potentials in Lumbricus terrestris, Homarus Americanus and Cambarus bartonii nerves

Selmer, Kaitlyn (2019-05)

When an individual suffers nerve damage as a result of a stroke or severe trauma, their quality of life suffers greatly. In many cases, this can lead to paralysis of limbs due to peripheral nerve damage. To improve mobility ...
Literature Review on Methods of Modeling the Cerebral Network and the Circle of Willis

Perera, Kevin (2019-05)

The Circle of Willis is a network of internal carotid arteries, basilar arteries, and vertebral arteries all coming together to perfuse the brain with blood. In the event that stenosis occludes part of the circle, the ...
Utilizing EEG to detect covert command-following in vegetative traumatic brain injury patients: A review

Leonard, Julia (2020)

1.7 million people in the US suffer from traumatic brain injury (TBI) each year, typically resulting from car accidents, contact sports, military operations, and falls [1]. Currently, healthcare personnel rely on the Glasgow ...
Biophysical Neuromodulation: An Integrative Approach

Bush, Joshua (2020)

The brain remains the key to our experiential reality. From sensory perception to an internal expanse the brain remains the hardware and processing unit. The age in which we can precisely alter the hardware with which we ...
Neuroscience Research in Spatial Navigation Using Robotic Animals

Sutton, Nate (2020)

The focus of this review is neuroscience research using robots programmed to navigate spatial environments using methods based on animal cognition. The use of cognition-based methods in robot navigation has multiple ...
K-nearest neighbors algorithm (KNN) and artificial neural networks (ANN) accurately predicting malignancy of breast cancer (BC)

O'Shea, Bailey (2020)

With the reoccurrence of unnecessary open surgeries on potential malignant tissue, there is a need for additional non-invasive tools oncologists and radiologists can utilize to help argue the reason behind performing ...
Graphene-based nanocomposites used as a suitable biomaterial for neural growth and networking

O'Shea, Bailey (2020)

A novelty to counter neurodegenerative diseases such as Alzheimer’s or peripheral nerve injury (PNI) has been in high demand for the past century. Alzheimer’s disease is a well-known disorder that causes nerve tissue to ...
Using Neuron Activation as Way of Powering Artificial Muscle Fibers

Lombardo, Anthony (2020)

Developing technologies and mechanisms that perform like our biological muscles have great potential of being useful for prosthetics research. Developing these technologies can be thought of as the easy part of the design, ...
Interpreting Speech and Sounds from Neural Activity, a Brief Overview

Ryan, Andrew (2020)

For people who are mute, or are completely paralyzed, one of the primary problems they have to deal with is being able to communicate. One potential solution to compensate for decreased communication functions is by using ...
Comparing Muscle Spindle Afferent Models

Hachem, Stephanie (Teknos, 2020)

Proprioception, the internal sense of where your body parts are relative to each other, is essential for many, particularly bimanual, daily activities. Unfortunately, because modern prosthetics lacks this sense it is often ...
Prosthetic Retina Literature Review

Holland, William (2020)

Retinal implants have become a more feasible eye-corrective tool in recent years. Examples of modern retinal implants include: the Argus II electronic epiretinal device, and the IMS electronic subretinal device (Jalil, ...
Study in Novel Peripheral Nerve Interface and Application

Samra, Amrtpal (2020)

Bi-directional exchange of information between the peripheral nervous system (PNS) and a computer interface can be achieved through the use of a peripheral nerve interface (PNI). Sophisticated PNI’s can be used to augment ...
DNA nanotechnology in neural engineering: A perspective

Vargas, Merlyn (2020-05)

DNA nanotechnology has great potential as a platform to enhance neural engineering approaches. DNA based nanoparticles are biocompatible and easy to functionalize [1]. Peptides or proteins can be conjugated to DNA nanoparticles ...
A machine learning approach to predict rtms therapy response in major depressive disorder

Shams, Mohammad (2020-05)

Machine learning techniques have been utilized to predict the outcome of repetitive transcranial magnetic stimulation (rTMS) treatment in depression, e.g., through classifying the responders (R) and non-responders (NR) to ...
Measurements to Detect Mental Fatigue

Asif, Zara (2020-05)

Mental fatigue is defined as a “state of reduced mental alertness that impairs performance” It affects nearly everyone in society at some point and has become one of the leading causes of workplace accidents [2]. Common ...
The Future of Personalized Brain Stimulation for the Treatment of Neuropsychiatric Disorders

Fredriksz, Madeline (2021)

Over a billion individuals worldwide suffer from neuropsychiatric disorders, many of which are resistant to traditional medications and therapy. Both invasive and non-invasive electrical stimulation have emerged as promising ...
EEG-Based BCI for Household IoT Control

Dunn, Bryce (2021)

Brain-computer interface (BCI) paradigms have existed for decades to improve communication and technological control. Electroencephalography (EEG) represents one of the most common non-invasive approaches toward recording ...
Exploring Two Alternative BCIs for Improving Alzheimer’s Disease Rehabilitation

Beaini, Fayez (2021)

Neurodegenerative diseases affect the nervous system of the body, ultimately disturbing movement and or mental function where Alzheimer's disease (AD) is the most common form [1]. Brain-computer interface (BCI) is a ...

Now showing items 1-20 of 42

Search MARS

Advanced Search

Browse

All of MARS
This Collection
- By Issue Date
- Authors
- Titles
- Subjects

Browsing Neural Engineering Student Projects by Issue Date

Browsing Neural Engineering Student Projects by Issue Date

Search MARS

Browse

All of MARS

This Collection

My Account