Raghavendra Singh

TL;DR: This research unites neuroscience, supercomputing, and nanotechnology to discover, demonstrate, and deliver the brain's core algorithms.

TL;DR: A unique network incorporating 410 anatomical tracing studies of the macaque brain from the Collation of Connectivity data on the CoCoMac neuroinformatic database is derived and two remarkable bridges between the brain's structure and function are discovered via network-theoretical analysis.

TL;DR: A set of abstractions, algorithms, and applications that are natively efficient for TrueNorth, a non-von Neumann architecture inspired by the brain's function and efficiency, and seven applications that include speaker recognition, music composer recognition, digit recognition, sequence prediction, collision avoidance, optical flow, and eye detection are developed.

TL;DR: The TrueNorth architecture as discussed by the authors consists of a scalable network of neurosynaptic cores, with each core containing neurons, dendrites, synapses, and axons, and it achieves near-perfect weak scaling on a 16-rack IBM® Blue Gene®/Q (262144 CPUs, 256 TB memory) with an average spiking rate of 8.1 Hz.

TL;DR: Quercetin, a dietary flavonoid with free radical scavenging properties, is investigated for its beneficial potential if any, in 3‐nitropropionic acid (3‐NP)‐induced HD in rats where both drugs were administered simultaneously.