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DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor
With the remarkable progress that technology has made, the need for processing data near the sensors at the edge has increased dramatically.
Cortical-inspired placement and routing: minimizing the memory resources in multi-core neuromorphic processors
To minimize the use of memory resources in multi-core neuromorphic processors, we propose a network design approach inspired by biological neural networks.
A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors
Both in electronics and biology, physical implementations of neural networks have severe energy and memory constraints.
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