Hi, I am currently a 2nd year grad student at Johns Hopkins majoring in Biomedical Engineering. I am working in the field of neuroengineering for my masters thesis. I plan to apply for a PhD in theoretical/computational neuroscience for the Fall of 2014. My academic background consists of bioengineering major and chemical engineering minor in undergrad and biomedical engineering major in masters. During my undergrad I have developed interests in membrane biophysics and started looking at the ion channels and their properties in neurons. I interned in research labs to gain some experience in the aspects of integrate and fire models of neurons using NEURON simulation environment. And for my bachelors thesis I worked on potential fluorescent dyes for biomembranes. I have good programming skills and quantitative skills. Pursuing my interests in neuroscience, I am working on developing MEMS platforms to study axonal injuries in trauma in CNS. While taking courses to supplement my thesis, I took a course of Modeling in neurons and was propelled towards a PhD in the field of biophysical neuronal modeling. I have gone through couple of posts in different threads mentioning about math, I have taken multivariable calculus, ODEs, PDEs, basic linear algebra in my freshmen and sophomore year. Though I need to brush them, I am inclined to do math. Also I have worked with non linear dynamical systems in modeling the biophysical neuron models. I am aware of the fact the biophysical modeling of neurons falls under one of the branches of computational/theoretical neuroscience. But the thing I am not clear about is the background needed for applying in this particular field. If you could suggest me some good research groups and schools that work in this field of my interest that would be great.