Ben Varkey Benjamin

TL;DR: The design of Neurogrid, a neuromorphic system for simulating large-scale neural models in real time, is described-for the first time-using 16 Neurocores integrated on a board that consumes three watts.

TL;DR: Two innovations—sparse encoding through analog spatial convolution and weighted spike-rate summation though digital accumulative thinning—cut digital traffic drastically, reducing the energy Braindrop consumes per equivalent synaptic operation to 381 fJ for typical network configurations.

TL;DR: This study calibrates the on-chip bias generators on custom hardware, and takes advantage of the hardware's high-throughput spike communication to rapidly estimate key mapping parameters with a set of linear relationships for static inputs derived from dynamical system theory.

TL;DR: This work analytically extend the NEF to directly harness the dynamics provided by heterogeneous mixed-analog-digital synapses and reveals the potential to engineer robust neuromorphic systems with well-defined high-level behaviour that harness the low-level heterogeneous properties of their physical primitives with millisecond resolution.