A model of computation in neocortical architecture

Unsupervised Learning of Combination Features for Hierarchical Recognition Models

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Learning optimized features for hierarchical models of invariant object recognition

Neural Computation

Hierarchial self-organization of minicolumnar receptive fields

Neural Networks - 2004 Special issue: New developments in self-organizing systems

A Hierarchical Dynamical Map as a Basic Frame for Cortical Mapping and Its Application to Priming

Neural Computation

Stable concurrent synchronization in dynamic system networks

Neural Networks

A cell assembly based model for the cortical microcircuitry

Neurocomputing

Simulations of signal flow in a functional model of the cortical column

Neurocomputing

A biologically motivated visual memory architecture for online learning of objects

Neural Networks

A Hypothesis on How the Neocortex Extracts Information for Prediction in Sequence Learning

ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks

2009 Special Issue: Cortical basis of communication: Local computation, coordination, attention

Neural Networks

2009 Special Issue: Cortext: A columnar model of bottom-up and top-down processing in the neocortex

Neural Networks

Demand-Driven Visual Information Acquisition

ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems

Spike-latency codes and the effect of saccades

Neurocomputing

Expectation Truncation and the Benefits of Preselection In Training Generative Models

The Journal of Machine Learning Research