A neural cocktail-party processor
Biological Cybernetics
Models of neural networks
Dynamical cell assembly hypothesis—theoretical possibility of spatio-temporal coding in the cortex
Neural Networks - 1996 Special issue: four major hypotheses in neuroscience
Spatiotemporal spike-encoding of a continuous external signal
Neural Computation
Dynamics of Strongly Coupled Spiking Neurons
Neural Computation
Ergodicity of spike trains: when does trial averaging make sense?
Neural Computation
Self-organizing dual coding based on spike-time-dependent plasticity
Neural Computation
Simultaneous Rate-Synchrony Codes in Populations of Spiking Neurons
Neural Computation
Dynamic switching of neural codes in networks with gap junctions
Neural Networks
Can spike coordination be differentiated from rate covariation?
Neural Computation
An asynchronous spiking chaotic neuron integrated circuit
Neurocomputing
The role of chaotic resonance in cerebellar learning
Neural Networks
Signal propagation in feedforward neuronal networks with unreliable synapses
Journal of Computational Neuroscience
A survey of signal propagation in feedforward neuronal networks
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
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A functional role for precise spike timing has been proposed as an alternative hypothesis to rate coding. We show in this article that both the synchronous firing code and the population rate code can be used dually in a common framework of a single neural network model. Furthermore, these two coding mechanisms are bridged continuously by several modulatable model parameters, including shared connectivity, feedback strength, membrane leak rate, and neuron heterogeneity. The rates of change of these parameters are closely related to the response time and the timescale of learning.