A key challenge for neural modeling is to explain how a continuous stream of multi-modal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of integrate-and-fire neurons in real-time. We propose a new computational model for real-time computing on time

The performance tradeoff between hardware complexity and clock speed is studied. First, a generic superscalar pipeline is defined. Then the specific areas of register renaming, instruction window wakeup and selection logic, and operand bypassing are ana-lyzed. Each is modeled and Spice simulated

The authors present a unified account of 2 neural systems concerned with the development and expression of adaptive behaviors: a mesencephalic dopamine system for reinforcement learning and a “generic ” error-processing system associated with the anterior cingulate cortex. The existence

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, and percolation in these networks. We present a number of models demonstrating the main features of evolving networks and discuss current approaches for their simulation and analytical study. Applications of the general results to particular networks in Nature are discussed. We demonstrate the generic connections

Annotea is a Web-based shared annotation system based on a general-purpose open RDF infrastructure, where annotations are modeled as a class of metadata. Annotations are viewed as statements made by an author about a Web document. Annotations are external to the documents and can be stored in one

A simulation model of episodic memory, MINERVA 2, is applied to the learning of concepts, as represented bythe schema-abstraction task. The model assumes that each experience produces a separate memory trace and that knowledge of abstract oncepts i derived from the pool of episodic traces

and Generic Tasks. To illustrate various concepts and methods which evolved in the last years we describe three modeling frameworks: CommonKADS, MIKE, and PROTÉGÉ-II. This description is supplemented by discussing some important methodological developments in more detail: specification languages for knowledge

The Generic Modeling Environment (GME) is a configurable toolset that supports the easy creation of domain-specific modeling and program synthesis environments. The primarily graphical, domain-specific models can represent the application and its environment including hardware resources

The multiple-trace simulation model, MINERVA 2, was applied to a number of phenomena found in experiments on relative and absolute judgments of frequency, and forced-choice and yes-no recognition memory. How the basic model deals with effects of repetition, forgetting, list length, orientation task