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Neural Networks - Special issue on neural control and robotics: biology and technology
Grasping movements: visuomotor transformations
The handbook of brain theory and neural networks
Synthetic brain imaging: grasping, mirror neurons and imitation
Neural Networks - Special issue on the global brain: imaging and modelling
The mirror system, imitation, and the evolution of language
Imitation in animals and artifacts
Integrated spatial reasoning in geographic information systems: combining topology and direction
Integrated spatial reasoning in geographic information systems: combining topology and direction
Neural homologies: principles, databases and modeling
Neural homologies: principles, databases and modeling
Neural Networks - 2006 Special issue: The brain mechanisms of imitation learning
Letter to the Editor: Imitation and memory in language origins
Neural Networks
An oscillatory model for multimodal processing of short language instructions
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
From mirror writing to mirror neurons
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
A spiking neural network model of multi-modal language processing of robot instructions
Biomimetic Neural Learning for Intelligent Robots
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This paper contributes to neurolinguistics by grounding an evolutionary account of the readiness of the human brain for language in the search for homologies between different cortical areas in macaque and human. We consider two hypotheses for this grounding, that of Aboitiz and García [Brain Res. Rev. 25 (1997) 381] and the Mirror System Hypothesis of Rizzolatti and Arbib [Trends Neurosci. 21 (1998) 188] and note the promise of computational modeling of neural circuitry of the macaque and its linkage to analysis of human brain imaging data. In addition to the functional differences between the two hypotheses, problems arise because they are grounded in different cortical maps of the macaque brain. In order to address these divergences, we have developed several neuroinformatics tools included in an on-line knowledge management system, the NeuroHomology Database, which is equipped with inference engines both to relate and translate information across equivalent cortical maps and to evaluate degrees of homology for brain regions of interest in different species.