About the Author
Michael Beyeler is a PhD candidate in the department of computer science at
the University of California, Irvine, where he is working on computational models
of the brain as well as their integration into autonomous brain-inspired robots. His
work on vision-based navigation, learning, and cognition has been presented at IEEE
conferences and published in international journals. Currently, he is one of the main
developers of CARLsim, an open source GPGPU spiking neural network simulator.
This is his rst technical book that, in contrast to his (or any) dissertation, might
actually be read.
Michael has professional programming experience in Python, C/C++, CUDA,
MATLAB, and Android. Born and raised in Switzerland, he received a BSc degree
in electrical engineering and information technology, as well as a MSc degree in
biomedical engineering from ETH Zurich. When he is not "nerding out" on robots, he
can be found on top of a snowy mountain, in front of a live band, or behind the piano.
I would like to thank Packt Publishing for this great opportunity
and their support, my girlfriend for putting up with my late-night
writing sessions, as well as the technical reviewers, who have
spotted (hopefully) all my glaring errors and helped make this book
a success.
