Resources for Students at TUM Library
- The TUM Library has provided us with a list of helpful and extensive books. The books discuss recent developments in the intersection of robotics, AI and neuroscience. These books could be helpful to keep you informed about the theoretical and practical aspects that involve your research within the CyberTUM team. To access the ebooks, when you click on the links connected to their titles and cover image, you are first required to login with your TUM ID and TUM password via eAccess.
Edited by Chang S. Nam, Anton Nijholt, Fabien Lotte , 2018
- Features an in-depth look at the different methods and techniques used in acquiring and pre-processing brain signals, extracting features, and classifying the user's intention
- Covers various theories, models, and empirical findings regarding ways in which the human brain can interface with the systems or external environments
- Presents applications of BCI technology to understand various aspects of human cognition and behavior such as perception, affect, action, and more
- Includes clinical trials and individual case studies of the experimental therapeutic applications of BCI
- Provides human factors and human-computer interface concerns in the design, development, and evaluation of BCIs
Rajesh Rao, 2013
This introduction to the field is designed as a textbook for upper- level undergraduate and first year graduate courses in neural engineering or brain- computer interfacing for students from a wide range of disciplines. It can also be used for self- study and as a reference by neuroscientists, computer scientists, engineers, and medical practitioners. Key features include: Essential background in neuroscience, brain recording and stimulation technologies, signal processing, and machine learning.
Edited by James Giordano, 2012
Written by leading international experts, this text presents a unique, integrative perspective that examines how studies and developments in neurotechnololgy are both impacted by and affect the philosophical foundations of the human condition. --Provided by publisher
Qiang Yu, 2017
This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics.
Event-based neuromorphic systems - Shih-Chii Liu et al. (2015)
Neuromorphic and brain-based robotics - Jeffrey Krichmar (2011)
Human Robotics: Neuromechanics and Motor Control - Etienne Burdet, David Franklin, Theodore Milner (2013)
Neuroengineering - Daniel DiLorenzo, Joseph Bronzino (2008)
Handbook of neural engineering - Metin Akay (2007)
Bio-inspired artificial intelligence: theories, methods, and technologies - Dario Floreano (2008)