On the complexity of learning for spiking neurons with temporal coding

On the relevance of time in neural computation and learning

Theoretical Computer Science

Neural networks with local receptive fields and superlinear VC Dimension

Neural Computation

Complexity of Learning for Networks of Spiking Neurons with Nonlinear Synaptic Interactions

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

General-purpose computation with neural networks: a survey of complexity theoretic results

Neural Computation

On the Nonlearnability of a Single Spiking Neuron

Neural Computation

Delay learning and polychronization for reservoir computing

Neurocomputing

Towards a neurocomputational model of speech production and perception

Speech Communication

Investigating the computational power of spiking neurons with non-standard behaviors

Neural Networks