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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...
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Chapter and Conference Paper
A Deep Predictive Coding Network for Inferring Hierarchical Causes Underlying Sensory Inputs
Predictive coding has been argued as a mechanism underlying sensory processing in the brain. In computational models of predictive coding, the brain is described as a machine that constructs and continuously ...
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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 ...