Towards Intelligent Intracortical BMI (i$^2$BMI): Low-Power Neuromorphic Decoders That Outperform Kalman Filters
نویسندگان
چکیده
منابع مشابه
Applying Memristors Towards Low-Power, Dynamic Learning for Neuromorphic Applications
While neuromorphic computing offers methods to solve complex problems, current software-based networks offer limited flexibility and potential for low-power implementations. The memristive dynamic adaptive neural network array (mrDANNA) is a flexible hardwarebased system, with applications including, but not limited to real-time speech recognition and spatio-temporal navigation. We present simu...
متن کاملFast Low-Power Decoders for RAMs
Decoder design involves choosing the optimal circuit style and figuring out their sizing, including adding buffers if necessary. The problem of sizing a simple chain of logic gates has an elegant analytical solution, though there have been no corresponding analytical results until now which include the resistive effects of the interconnect. Using simple RC models, we analyze the problem of opti...
متن کاملA Low-Power Implementation of Turbo Decoders
........................................................................................................................... i Acknowledgement........................................................................................................... ii List of Figures ..................................................................................................................v List of Table...
متن کاملThe geometry of low-rank Kalman filters
An important property of the Kalman filter is that the underlying Riccati flow is a contraction for the natural metric of the cone of symmetric positive definite matrices. The present paper studies the geometry of a low-rank version of the Kalman filter. The underlying Riccati flow evolves on the manifold of fixed rank symmetric positive semidefinite matrices. Contraction properties of the low-...
متن کاملDesign and validation of a real-time spiking-neural-network decoder for brain-machine interfaces.
OBJECTIVE Cortically-controlled motor prostheses aim to restore functions lost to neurological disease and injury. Several proof of concept demonstrations have shown encouraging results, but barriers to clinical translation still remain. In particular, intracortical prostheses must satisfy stringent power dissipation constraints so as not to damage cortex. APPROACH One possible solution is to...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Biomedical Circuits and Systems
سال: 2019
ISSN: 1932-4545,1940-9990
DOI: 10.1109/tbcas.2019.2944486