“…In addition, the approach of building distributed multi-chip systems interfaced among each other via the AER protocol (e.g., see Section VI-B), lends itself well to the adoption of event-based mismatch reduction techniques, such as the one proposed in [136], that can be effective even for very large-scale systems, (e.g., comprising 1 million silicon neurons) [145]. In addition to being useful for compensating mismatch effects across neurons, homeostatic synaptic scaling circuits, such as the ones described in Section IV-C, can provide another approach to compensating the effects of temperature drifts, complementing dedicated sub-threshold bias generator approaches [146], [147]. In summary, this neuromorphic approach makes it possible to tolerate noise, temperature, and mismatch effects at the single device level by exploiting the adaptive features of the circuits and architectures designed, leading to robustness at the system level.…”