Over 95% of the circuit blocks are synergistically shared among the four operating modes, including CPA, CV, IS, and the proposed temperature regulation mode.
During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly.
Spike sorting algorithms are used to separate extracellular recordings of neuronal populations into single-unit spike activities.
In this work, PRUNIX, a framework for training and pruning convolutional neural networks is proposed for deployment on memristor crossbar based accelerators.
The impact of device and circuit-level effects in mixed-signal Resistive Random Access Memory (RRAM) accelerators typically manifest as performance degradation of Deep Learning (DL) algorithms, but the degree of impact varies based on algorithmic features.
This is particularly true when the number of nodes is high or there are temporal changes in the network.
Such a model maps signals onto vertices of a graph and the time-space dependencies among signals are modeled by the edge weights.
We introduce coded two-bucket (C2B) imaging, a new operating principle for computational sensors with applications in active 3D shape estimation and coded-exposure imaging.