Loading...

Subscribe

First Name
Last Name
Email (required)
I agree to receive emails from the National Academies (required)

We respect your privacy and will never share your information.

Front Matter i-xii
MACHINES THAT TEACH THEMSELVES 1-2
Machines That Teach Themselves - Rajan Bhattacharyya 3-4
Humans and Computers Working Together to Measure Machine Learning Interpretability - Jordan Boyd-Graber 5-12
ENERGY STRATEGIES TO POWER OUR FUTURE 13-14
Energy Strategies to Power Our Future - Katherine Dykes and Jeremy Munday 15-16
Agile Fractal Systems: Reenvisioning Power System Architecture - Timothy D. Heidel and Craig Miller 17-24
Big Data and Analytics for Wind Energy Operations and Maintenance: Opportunities, Trends, and Challenges in the Industrial Internet - Bouchra Bouqata 25-28
Across Dimensions and Scales: How Imaging and Machine Learning Will Help Design Tomorrow's Energy Conversion Devices - Mariana Bertoni 29-36
Wireless Charging of Electric Vehicles - Khurram Afridi 37-46
UNRAVELING THE COMPLEXITY OF THE BRAIN 47-48
Unraveling the Complexity of the Brain - Xue Han and Maryam M. Shanechi 49-50
Technologies to Interface with the Brain for Recording and Modulation - Ellis Meng 51-56
Brain-Machine Interface Paradigms for Neuroscience and Clinical Translation - Samantha R. Santacruz, Vivek R. Athalye, Ryan M. Neely, and Jose M. Carmena 57-60
The Roles of Machine Learning in Biomedical Science - Konrad Paul Kording, Ari S. Benjamin, Roozbeh Farhoodi, and Joshua I. Glaser 61-72
Efficient Feature Extraction and Classification Methods in Neural Interfaces - Mahsa Shoaran, Benyamin A. Haghi, Masoud Farivar, and Azita Emami 73-80
MEGATALL BUILDINGS AND OTHER FUTURE PLACES OF WORK 81-82
Megatall Buildings and Other Future Places of Work - Maria Paz Gutierrez and Marija Trcka 83-84
The Evolution of Elevators: Physical-Human Interface, Digital Interaction, and Megatall Buildings - Stephen R. Nichols 85-98
Supertall Timber: Functional Natural Materials for High-Rise Structures - Michael H. Ramage 99-104
Applications of Insights from Biology and Mathematics to the Design of Material Structures - Jenny E. Sabin 105-110
APPENDIXES 111-112
Contributors 113-116
Participants 117-124
Program 125-128

Log In

Sign in to access your saved publications, downloads, and email preferences.

Former MyNAP users: You'll need to reset your password on your first login to MyAcademies. Click "Forgot password" below to receive a reset link via email. Having trouble? Visit our FAQ page to contact support.

Members of the National Academy of Sciences, National Academy of Engineering, or National Academy of Medicine should log in through their respective Academy portals.

Email (required)
Password (required)

Don't have an account?

Register

Email (required)
New password (required)
Retype password (required) Password must be at least 8 characters
I accept the terms of use
terms of use

Thank You

Thank you for creating a MyAcademies account!

Enjoy free access to thousands of National Academies' publications, a 10% discount off every purchase, and build your personal library.

Forgot Password

Enter the email address for your MyAcademies (formerly MyNAP) account to receive password reset instructions.

Reset Requested

We sent password reset instructions to your email . Follow the link in that email to create a new password. Didn't receive it? Check your spam folder or contact us for assistance.

Reset Password

New password (required)
Retype password (required) Password must be at least 8 characters

Reset Password

Your password has been reset.

Log In

Verify email

Verify Your Email Address

We sent a verification link to your email. Please check your inbox (and spam folder) and follow the link to verify your email address. If you did not receive the email, you can request a new verification link below

Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium (2018)

Chapter: UNRAVELING THE COMPLEXITY OF THE BRAIN

UNRAVELING THE COMPLEXITY OF THE BRAIN

My Academies

Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium (2018)

Chapter: UNRAVELING THE COMPLEXITY OF THE BRAIN

UNRAVELING THE COMPLEXITY OF THE BRAIN