Projects
From USCBPWiki
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Modeling Tools
Neural Simulation Language (NSL)
Our Neural Network Simulation Language, NSL (pronounced "Nissl"), is a powerful yet easy to use simulation language and development system for large-scale general neural networks. The simulator is designed and implemented following an object-oriented paradigm; and includes a high level language for describing neural networks, an interactive command interpreter, and powerful visualization tools for analyzing models in different ways. It provides a simulation environment that simplifies the task of modeling neural networks. In particular, NSL supports neural models having as a basic data structure neural layers with similar properties and similar connection patterns, where neurons are modeled as leaky integrators with connections subject to diverse learning rules. NSL runs on top of another programming language, which allows users to easily migrate their models from one programming language to another. It has currently been developed for C++, Java, and MatLab.
Schematic Capture System (SCS)
The Schematic Capture System (SCS) is an integrated development environment (IDE) for NSL that serves both as a browser as well as a tool for creating new model architectures. SCS provides visual support in designing modules and their interconnections.
Models
Augmented Competitive Queuing (ACQ)
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.
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.
Neuroinformatics Databases
Brain Operation Database (BODB)
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.
