Probability density methods for smooth function approximation and learning in populations of tuned spiking neurons

A theory for the use of visual orientation information which exploits the columnar structure of striate cortex

Biological Cybernetics

Hebbian computations in hippocampal dendrites and spines

Single neuron computation

Multiplying with synapses and neurons

Single neuron computation

Pulse propagation networks: a neural network model that uses temporal coding by action potentials

Neural Networks

Fine analog coding minimizes information transmission

Neural Networks

Fast sigmoidal networks via spiking neurons

Neural Computation

Computing with the leaky integrate-and-fire neuron: logarithmic computation and multiplication

Neural Computation

Statistically efficient estimation using population coding

Neural Computation

Probabilistic interpretation of population codes

Neural Computation

Spikes: exploring the neural code

Spikes: exploring the neural code

Unifying Perspectives on Neuronal Codes and Processing

ICANN 96 Proceedings of the 1996 International Conference on Artificial Neural Networks

Temporal precision of spike trains in extrastriate cortex of the behaving macaque monkey

Neural Computation

Parameter extraction from population codes: A critical assessment

Neural Computation

Lower bounds for the computational power of networks of spiking neurons

Neural Computation

Coding of time-varying signals in spike trains of integrate-and-fire neurons with random threshold

Neural Computation

A simple spike train decoder inspired by the sampling theorem

Neural Computation

Observer-participant models of neural processing

IEEE Transactions on Neural Networks