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 first 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.