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W2 V3 - Synapse models (Neural Reckoning) View |
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W2 V2 - Networks (Neural Reckoning) View |
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17. BT6270 Computational Neuroscience - Modeling the Synapse (CNSLAB IITM) View |
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CNS3.1 - Synapses (Gerstner Lab) View |
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Artificial Neural Networks Fundamentals (Essential-Learning) View |
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Electrophysiology (Kyle Hurley) View |
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Shiftry: RNN Inference in 2KB of RAM (ACM SIGPLAN) View |
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AAI Part 2 || Understanding Perceptrons and Human Neurons: A Deep Dive into Advanced AI (JoyfulJourney) View |
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Dynamic Slicing for Deep Neural Networks (Video, ESEC/FSE 2020) (ACM SIGSOFT) View |
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Video 1: Neural Networks and Translation with Prof Andy Way (DCU School of Computing) View |