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Hardware implementation of a bio-plausible neuron model for evolution and growth of spiking neural networks on FPGA

AbstractThe natural-language approach to identifying biological analogies exploits the existing format of much biological knowledge, beyond databases created for biomimetic design. However, designers may need to select analogies from search results, during which biases may exist toward: specific words in descriptions of biological phenomena, familiar organisms and scales, and strategies that match preconceived solutions. Therefore, we conducted two experiments to study the effect of abstraction on overcoming these biases and selecting biological phenomena based on analogical similarities.

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Associated Researchers

Hooman Shayani

Senior Manager, Senior Principal AI Research Scientist
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