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Auto encoders could be used as "slow learners" to fix false negatives if tied to the feature layer. Here are recent examples of spiking auto encoder research: https://t.co/LnwO6YrbPi https://t.co/1y6WKK9BKd https://t.co/c1App5Rmcx
Auto encoders could be used as "slow learners" to fix false negatives if tied to the feature layer. Here are recent examples of spiking auto encoder research: https://t.co/LnwO6YrbPi https://t.co/1y6WKK9BKd https://t.co/c1App5Rmcx
temporally-coded spiking neural net autoencoders https://t.co/JvQD1JmblJ