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  1. No Access

    Chapter and Conference Paper

    Gating Sensory Noise in a Spiking Subtractive LSTM

    Spiking neural networks are being investigated both as biologically plausible models of neural computation and also as a potentially more efficient type of neural network. Recurrent neural networks in the form...

    Isabella Pozzi, Roeland Nusselder… in Artificial Neural Networks and Machine Lea… (2018)

  2. No Access

    Chapter and Conference Paper

    Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks

    As the brain purportedly employs on-policy reinforcement learning compatible with SARSA learning, and most interesting cognitive tasks require some form of memory while taking place in continuous-time, recent ...

    Marios Karamanis, Davide Zambrano… in Artificial Neural Networks and Machine Lea… (2018)