Modelling memory functions with recurrent neural networks consisting of input compensation units: I. Static situations
Modelling memory functions with recurrent neural networks consisting of input compensation units: II. Dynamic situations
Deterministic analysis of stochastic bifurcations in multi-stable neurodynamical systems
Cross-intensity functions and the estimate of spike-time jitter
Developing velocity sensitivity in a model neuron by local synaptic plasticity
Depth, contrast and view-based homing in outdoor scenes
Spike-timing-dependent plasticity for neurons with recurrent connections