Research page links to homepages of all past and current research projects associated with the USCBP containing papers in progress, code, simulation results, and summaries.

Action Language Neuroinformatics
Ape gestural learning

Please check back for further updates. For now, see the link below for video of preliminary simulation results. http://neuroinformatics.usc.edu/wp-content/uploads/ORvideo_annotated.m4v

Infant Learning Grasping and Affordances (ILGA)

The Infant Learning Grasping and Affordances (ILGA) model builds upon the Infant Learning to Grasp Model (ILGM) simultaneously learning to extract affordances for grasping as well as the motor parameter values that exploit these affordances to yield successful grasps. This model extends the simplfied grasp parameter representation of ILGM to represent grasps in terms of virtual finger oppositions. Continue reading

Augmented Competitive Queuing (ACQ)

extends classical competitive queuing (CQ) models of sequence production. Rather than rigidly executing a fixed sequence in the same order every time, motor elements are flexibly deployed according to their dynamically computed priority, which is further decomposed into executability and desirability. Continue reading

Template Construction Grammar (TCG)

Is a conceptual model of the language system as well as a computational model of speech production, which runs on input from the vision system, provided as SemRep, a type of graph-like representation that bridges between the vision and language system. An early version of the computation model has been recently implemented. Continue reading

Brain Operation Database (BODB)

Is a neuroinformatics database that provides a repository of bibliographical article information, Brain Operating Principles (BOPs), models, and Talairach-based brain-imaging experimental data. It also provides tools to analyze and visualize the data within it, such as a visualization tool for brain-imaging data analysis. Continue reading