Useful Links

The field of neuroscience is considered young. There are numerous available textbooks, scientific journals, and online resources. Some of them are old but classic, some are more readable than the rest. The following list is not exhaustive. And although getting a good textbook is a matter of preference, this list serves as my primary guide. The Kandel's textbook, the first to be mentioned below, is by no means the bible of neuroscience (its latest 5th edition is just published).

General Neuroscience
  1. Kandel E, Schwartz J, Jessell T, Siegelbaum S, Hudspeth AJ. (2004). Principles of Neural Science, 4th ed. McGraw-Hill.
  2. Purves D, Augustine GJ, William DF, Anthony HC, Samuel LaMantia, McNamara, JO, White, LE. (2007). Neuroscience, 4th ed. Sinauer Associates.
  3. Kolb B. and Whishaw I.Q. (2008). Fundamentals of Human Neuropsychology, 6th ed. Worth Publishers.
  4. Levitan IB and Kaczmarek LK. (2003). The Neuron: Cell and Molecular Biology, 3rd ed. Oxford Press.
  5. Levine, Michael W. (2000). Fundamentals of Sensation and Perception, 3rd ed. Oxford Press.
  6. Dayan, P. and Abbott, LF. (2001). Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems, 1st ed. MIT Press.

All about Motor Behavior
  1. RA. Schmidt and TD Lee. (2013). Motor Learning and Performance: From Principles to Application. Human Kinetics - classic undergraduate textbook!
  2. Stelmach, GE. (1976). Motor Control: Issues and Trends. Academic Press.  - classic book!
  3. Zelaznik, H. N. (1997). Advances in Motor Learning and Control. Human Kinetics.

Functional Neuroimaging
  1. Huettel SA, Song AW, McCarthy G. (2008). Functional Magnetic Resonance Imaging, 2nd ed. Sinauer Associates.
  2. Ashby, FG. (2011). Statistical Analysis of fMRI data, 1st ed. MIT Press.
  3. Poldrack RA, Mumford JA, Nichols TE. (2011). Handbook of fMRI Data Analysis, 1st ed. Cambridge University Press.
  4. Filippi, Massimo. (2009). fMRI Techniques and Protocols (Neuromethods vol. 41). Humana Press.

Other Useful Textbooks
  1. Agresti A and Finlay B. (2009). Statistical Methods for the Social Sciences, 4th ed. Pearson.
  2. Keppel G. and Wickens T.D. (2004). Design and Analysis: A Researcher's Handbook, 4th ed. Pearson. 
  3. Rosenbaum, DA. (2009). "Human Motor Control, 2ed". Academic Press, USA.

Useful Online Resources on NeuroImaging/fMRI
  1. Anatomical database of fMRI studies, http://www.neurosynth.org 
  2. Imaging Wiki (UCambridge).
  3. Practical fMRI website: MRI physics, practical acquisition, design of studies, etc.
  4. Mindboggle website.
  5. List of resources (from Chuanglab).
  6. A set of versatile tools by Vince Calhoun.
  7. Super useful YouTube videos by J. Mumford.

Some NeuroImaging/fMRI Software Package
  1. SPM - a classic, by the UCL Neuroimaging group.
  2. FSL - getting very popular, by the FMRIB group, Oxford.
  3. AFNI - people's choice, by the NIMH, National Institute of Health.
  4. MINC - another classic, by the MNI/Neuro.
  5. GIFT - for Group ICA and some other stuffs.
  6. FreeSurfer - surface map, by Martinos Centre/MGH.
  7. BIDS - a useful reference about BIDS, in the spirit of open science.

Nice Links on Statistics and Data Science Software
  1. STAT 504 by PennState
  2. R-bloggers - for tips about using R. Use this free app as an alternative to Matlab.
  3. Nice R stats examples, e.g. linear mixed-effects analysis, etc.
  4. Probability and Bayesian Modeling.
  5. Learning python - for beginners. Python can be installed through pip or conda.
  6. Learning Matplotlib from a tutorial and datacamp.
  7. Anatomy of Matplotlib learning site.
  8. Jupyter notebook. Here is a nice tutorial from datacamp.
  9. Stack-overflow - a website for desperate and stressful programmers. 
  10. A nice book about Git for beginners in version control.
  11. Collection of online posts on machine learning and data science.
  12. A nice introduction of Deep Neural Network.
  13. Nice machine learning hands-on in R.

General Online Resources
  1. NIH PubMed. Superb online portal associated with medical sciences.
  2. Various classic neuroscience papers (Society for Neuroscience).
  3. The Brain from Top to Bottom (McGill).
  4. Online textbook on Neuroscience (UTH Medical Center).
  5. Neuro-names of The Brain.
  6. Some online resources about Computational Neuroscience (CMU).
  7. https://serversforhackers.com/c/ssh-tricks
  8. Useful template to create your own webpage using Github.

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