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Dynamic Adaptive Neural Network Arrays (DANNAs) are neuromorphic computing systems developed as a hardware based approach to the implementation of neural networks. They feature highly adaptive and programmable structural elements, which model artificial neural networks with spiking behavior. We design them to solve problems using evolutionary optimization. In this paper, we highlight the current hardware...
Dynamic Adaptive Neural Network Arrays (DANNAs) are neuromorphic systems that exhibit spiking behaviors and can be designed using evolutionary optimization. Array elements are rapidly reconfigurable and can function as either neurons, synapses or fan-out elements with programmable interconnections and parameters. Currently, DANNAs are implemented using Field Programmable Gate Arrays (FPGAs) and are...
Dynamic Adaptive Neural Network Arrays (DANNAs) are neuromorphic systems that have been developed for hardware implementation. They feature highly adaptive and programmable structural elements, which model artificial neural networks with spiking behavior. In this paper, we highlight the current hardware implementations of DANNA, including their features and functionalities. We conclude with future...
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