What is Brain Computer Interface?
The Big Hero 6, a film winning a 2015 Oscar for Best Animated Feature, shows a lot of prospective technology and creations. Apart from the adorable healthcare-providing robot Baymax, microbots, the creation from the main character, also makes audience thrilled. Such tiny robots can be controlled by brain signals and link together in any arrangement imaginable. They have invincible power in the film and become the villain’s secrete weapon.
Similar brain-controlled techniques also appear in many Hollywood films like Avatar and Pacific Rim.
Such system is called brain-computer interface, which is a direct communication pathway between human brain and external devices.
Brain computer interfaces (BCI) – also called mind-machine interface, direct neural interface, or brain–machine interface – seek to directly communicate with human nervous system to monitor and stimulate neural circuits as well as diagnose and treat intrinsic neurological dysfunction.
Research and development in BCI focuses primarily on neuroprosthetics applications that aim at restoring damaged hearing, sight and movement, ability to communicate, and even cognitive function.
Deep brain stimulation is a significant advance in this field that is especially effective in treating movement disorders such as Parkinson’s disease with high frequency stimulation of neural tissue to suppress tremors.
Invasive BCI, implanted directly into the grey matter of the brain, research has targeted repairing damaged sight and providing new functionality for people with paralysis. BCIs focusing on motor neuroprosthetics aim to either restore movement in individuals with paralysis or provide devices to assist them, such as interfaces with computers or robot arms.
In 2015, NeuroTechX was created with the mission of building an international network for neurotechnology. They bring hackers, researchers and enthusiasts all together in many different cities around the world.
What is Neuroscience?
Neuroscience (or neurobiology) is the scientific study of the nervous system. It is a multidisciplinary branch of biology, that deals with the anatomy, biochemistry, molecular biology, and physiology of neurons and neural circuits. It also draws upon other fields, with the most obvious being pharmacology, psychology, and medicine.
The scope of neuroscience has broadened over time to include different approaches used to study the molecular, cellular, developmental, structural, functional, evolutionary, computational, psychosocial and medical aspects of the nervous system. The techniques used by neuroscientists have also expanded enormously, from molecular and cellular studies of individual neurons to imaging of sensory and motor tasks in the brain.
What is Neuroenginering?
Neuroengineering uses engineering techniques to understand, repair, replace, enhance, or otherwise exploit the properties of neural systems. This field draws on the fields of computational neuroscience, experimental neuroscience, clinical neurology, electrical engineering and signal processing of living neural tissue, and encompasses elements from robotics, cybernetics, computer engineering, neural tissue engineering, materials science, and nanotechnology.
The fundamentals behind neuroengineering involve the relationship of neurons, neural networks, and nervous system functions to quantifiable models to aid the development of devices that could interpret and control signals and produce purposeful responses.
Much current research is focused on understanding the coding and processing of information in the sensory and motor systems, quantifying how this processing is altered in the pathological state, and how it can be manipulated through interactions with artificial devices including brain-computer interfaces and neuroprosthetics.
To understand properties of neural system activity, engineers use signal processing techniques and computational modeling. To process these signals, neural engineers must translate the voltages across neural membranes into corresponding code, a process known as neural coding. Decoding of these signals in the realm of neuroscience is the process by which neurons understand the voltages that have been transmitted to them. Transformations involve the mechanisms that signals of a certain form get interpreted and then translated into another form. Engineers look to mathematically model these transformations.
What are the top schools to pursue MS in Neuroscience?
MS in Neuroscience (or Neuroengineering or Brain Computer Interface) is a very interdisciplinary subject and is difficult to classify under a particular department.
So, you may find it difficult to decide whether you should apply for your MS to Department of Biomedical engineering, Department of Computer Engineering or Department of Electrical Engineering.
A better approach is to find a professor who is working in your area of interest at your target schools. They may guide you about your suitability to the program and potential projects in relevant laboratories. You would also get a sense of available funding and admittance rates, which would be important factors for your admission.
Here are some of the schools that you can consider for pursuing your MS in Neurocience. While preparing this list, we have included some dream universities, some reach and some safe universities. So that you can work on preparing a balanced shortlist that would maximize your chances of admission to a good school.
Program – MS in Neuroscience – Neuroengineering
The Graduate Program in Neuroscience (NEUS) at Drexel University College of Medicine embraces the interdisciplinary nature of neuroscience. By incorporating expertise across departments and areas of research, the program offers a broad exposure to cellular, molecular, behavioral, developmental and systems neuroscience, with a strong emphasis on disease, injury and therapeutics. Students engage in rigorous research training using multidisciplinary approaches and cutting-edge technology. Their educational experience is not limited to the bench – they benefit from extensive interactions with the faculty, participation in scientific meetings and training in the panoply of skills (writing, teaching, formulation of hypotheses, experimental design) required for independence and success in a variety of career possibilities.
Students in the program can earn an MS or PhD degree, leading to careers in academic research, teaching, pharmaceutical research, industry, government, academic administration, public policy and beyond.
The unique strengths of the Drexel neuroscience research groups are the significant expertise in basic neurosciences, computational modeling of pattern generator and reflex systems, development of spinal motor prostheses, development of cortical motor/sensory prostheses, brain machine interfaces (BMIs) and neurorobotics. Components of this program combine novel neuroprosthetic techniques for intraspinal, limbic and cortical prostheses, with therapeutic approaches to brain and spinal cord injury and rehabilitation in rodent models.
Applicants are encouraged to use email to contact any of the faculty of the program with whom they may share scientific interests to discuss their suitability to the program and/or potential projects in relevant laboratories.
University of Washington
Program – MS in Neuroscience – Brain Computer Interface
The goal of the Graduate Program in Neuroscience is to produce the best neuroscientists possible. The breadth of our faculty allows us to provide interdisciplinary training drawing from a variety of topics, techniques and perspectives, including neuroanatomy, biochemistry, molecular biology, physiology, biophysics, pharmacology, in vivo brain imaging (e.g., fMRI, M-EEG), computational modeling and behavior. A graduate of our program will be well versed in the neurosciences, prepared to conduct independent research, and equipped to pursue a variety of career paths.
140+ faculty members of the University of Washington provide outstanding graduate training in all areas of modern neuroscience. Our students perform cutting-edge research, at a leading research university, in one of the most famously livable American cities.
The Program expects each international applicant to:
- Find a Neuroscience Graduate Program faculty mentor who is willing to commit financial support for the student.
- Obtain support before the deadline date of November 1st.
- Letter of support must be presented with the application.
University of Minnesota – Twin Cities
Program – Graduate Program in Neuroscience
The Graduate Program in Neuroscience (GPN) at the University of Minnesota is a large interdisciplinary PhD program, made up of over 100 faculty. Our goal is to provide the students with a broad and deep understanding of Neuroscience, ranging from the molecular and genetic level to computational. Due to its interdisciplinary nature, our program is a highly collaborative and collegial environment in which to train.
We are a large, multidisciplinary program consisting of over 100 faculty members from all parts of the University of Minnesota, 30 departments from over 10 colleges. The multidisciplinary nature of our Ph.D. program is one of its most significant strengths.
When you start your graduate training in our program, you begin your studies in July with a five-week laboratory course covering a range of topics in molecular, cellular, and systems neuroscience. Only available at the University of Minnesota, this nationally recognized course will give you an unparalleled introduction to the excitement of neuroscience.
Our core curriculum, that you pursue in your first year, is designed to cover all the broad areas in Neuroscience, from molecular neurobiology and genetics to computational neuroscience. The first year’s core curriculum includes courses in Cellular and Molecular Neuroscience, Systems Neuroscience, Developmental Neuroscience and Behavioral Neuroscience. The program boasts a faculty:student ratio of more than 1:1.
The second year and subsequent years are filled with the most exciting and challenging aspects of our graduate program: defining a thesis topic and establishing a research program.
We only admit students seeking a Ph.D. degree. Most students take about five and a half years to graduate.
University of California – San Diego
Program – PhD in Neuroscience