Layered Hybrid Connectionist Models for Cognitive Science

Biological grounding of recruitment learning and vicinal algorithms in long-term potentiation

Emergent neural computational architectures based on neuroscience

Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation

Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing

Temporal binding as an inducer for connectionist recruitment learning over delayed lines

Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03

Using temporal binding for hierarchical recruitment of conjunctive concepts over delayed lines

Neurocomputing

Full Length Article: A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction

Information Fusion