Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Fast sigmoidal networks via spiking neurons
Neural Computation
Pulsed neural networks
Populations of spiking neurons
Pulsed neural networks
Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience Series)
On the relevance of time in neural computation and learning
Theoretical Computer Science
On the computational power of circuits of spiking neurons
Journal of Computer and System Sciences
Neural Systems as Nonlinear Filters
Neural Computation
Cortical circuitry implementing graphical models
Neural Computation
Signal propagation in feedforward neuronal networks with unreliable synapses
Journal of Computational Neuroscience
Nanoscale electronic synapses using phase change devices
ACM Journal on Emerging Technologies in Computing Systems (JETC) - Special issue on memory technologies
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We investigate through theoretical analysis and computer simulations the consequences of unreliable synapses for fast analog computations in networks of spiking neurons, with analog variables encoded by the current firing activities of pools of spiking neurons. Our results suggest a possible functional role for the well-established unreliability of synaptic transmission on the network level. We also investigate computations on time series and Hebbian learning in this context of space-rate coding in networks of spiking neurons with unreliable synapses.