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What degree is best for preparing to go into Neuroscience?

What could i improve in my online course curriculum for computational neuroscience?

  • Right now I'm perusing a Bio-medical engineering Bachelor degree while I'm allowed to do undergrad research in a lab (I'm working with brain computer interfaces) and it seems an interesting technology so I decided to to create a list of courses to follow online on my spare time (about 2 hours a day) I feel like I'm missing on a lot of Math and Statistics and while I have courses about signal analysis in my biomed curriculum our advanced programming part is nearly 0 Coursera https://www.coursera.org/course/compneuro and Machine Learning will take 10 weeks MIT OCW so many courses so little time.. I have no idea which one should be taken as a must and which ones can go lasts, considering my limited time and the level of the courses (I assume it's not possible to follow more than 2 at time) I'll have to cut out a good 80% of them but I have no experience to decide on which 9.01 Introduction to Neuroscience 9.02 Brain Laboratory 9.03 Neural Basis of Learning and Memory 9.04 Neural Basis of Vision and Audition 9.05 Neural Basis of Movement 9.07 Statistical Methods in Brain and Cognitive Science 9.10 Cognitive Neuroscience 9.14 Brain Structure and Its Origins 9.29J Introduction to Computational Neuroscience 9.35 Sensation And Perception 9.458 Parkinson's Disease Workshop 9.51 Affective Priming at Short and Extremely Short Exposures 9.52-A Investigating the Neural Substrates of Remote Memory using fMRI 9.52-C Computational Cognitive Science 9.57J Language Acquisition 9.63 Laboratory in Visual Cognition 9.63 Laboratory in Cognitive Science 9.65 Cognitive Processes 9.66J Computational Cognitive Science 9.67 Object and Face Recognition 9.68 Affect: Biological, Psychological, and Social Aspects of \"Feelings\" 9.69 Foundations of Cognition 9.71 Functional MRI of High-Level Vision 9.85 Infant and Early Childhood Cognition 9.912 Special Topics in Brain and Cognitive Sciences 9.912J Introduction to Computational Neuroscience 9.916-A Probability and Causality in Human Cognition 9.93 Cognitive Neuroscience of Remembering: Creating and Controlling Memory 9.97 Introduction to Neuroanatomy 9.98 Language and Mind 9.011 The Brain and Cognitive Sciences I 9.012 The Brain and Cognitive Sciences II (Spring 2006) 9.036 The Visual System 9.044J Brain Mechanisms for Hearing and Speech 9.081 Human Memory and Learning 9.173J Noninvasive Imaging in Biology and Medicine 9.285J Neural Coding and Perception of Sound 9.301J Neural Plasticity in Learning and Development 9.357 Special Topics in Vision Science 9.520 Statistical Learning Theory and Applications (Spring 2006) 9.520-A Networks for Learning: Regression and Classification 9.530 Cellular and Molecular Computation 9.587J The Lexicon and Its Features 9.591J Language Processing 9.601J Language Acquisition I 9.611J Natural Language and the Computer Representation of Knowledge 9.641J Introduction to Neural Networks 9.660J Computational Cognitive Science 9.675 The Development of Object and Face Recognition 9.911 Reasonable Conduct in Science 9.913 Pattern Recognition for Machine Vision 9.914 Special Topics: Genetics, Neurobiology, and Pathophysiology of Psychiatric Disorders 9.916 The Neural Basis of Visual Object Recognition in Monkeys and Humans 9.916 Modularity, Domain-specificity, and the Organization of Knowledge 9.95-A Research Topics in Neuroscience 9.96 Experimental Methods of Adjustable Tetrode Array Neurophysiology 9.S915 Developmental Cognitive Neuroscience

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Select the courses depending on what type of research you want to do. I'm assuming you are asking this question because your interest is in getting into Computational Neuroscience for graduate school? I do research in computer vision and psychophysics, so my undergrad courses were heavy math oriented and had a lot of programming in them. Then again, my major was in Robotics so I learned many tools that I find very useful for neuroscience. Focus on finding the research you want to do, and spend time doing research in that topic so you find out the courses you should take. Remember that what matters to get into grad school is the research you've done, not that courses you've taken. That being, said prioritize research time, and whenever you confront a problem or a paper that has a concept you don't understand, go into learning certain parts of a course that help you. I've never taken any computer vision class in my life  (I don't know if image processing counts ...) because my undergrad university in Peru didn't even have a computer science department, but I do research in computer vision.

Arturo Deza

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