Spiking Neural Networks Architectures (SNN Neuromorphic)

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This presentation explores Spiking Neural Networks (SNNs), focusing on their biologically inspired foundation and divergence from traditional neural networks. It delves into key architectural components such as spiking neuron models, spike encoding and decoding, and learning mechanisms including Hebbian principles and STDP. Applications span robotics, low-power edge AI, and neuromorphic computing for IoT. The session concludes with insights into future advancements in energy-efficient designs...