Emergence of Border & Surface Completion (both Spatial and Temporal) in a Flowcentric Model of Narrow Slit Viewing

Leibovitz, D. P. & West, R. L. (2013) Emergence of Border & Surface Completion (both Spatial and Temporal) in a Flowcentric Model of Narrow Slit Viewing. In R. West & T. Stewart (eds.), Proceedings of the 12th International Conference on Cognitive Modeling (ICCM 2013),  (pp. 1-6). [doi: 10.13140/RG.2.1.1513.9044] (PDF)

Leibovitz & West (2013) Emergence of Border & Surface Completion (Talk)Abstract: In this paper, we describe a model of narrow slit viewing that deals with both spatial and temporal completion for borders and surfaces. The model is based on functionality derived from the dynamic interactions of a neural model. We contrast this model with FACADE, which models vision using neural models of modules corresponding to functionality.

Keywords: Border completion; Emergence; Emergic Cognitive Model (ECM); FACADE; Flowcentric; Slit Viewing; Spatial; Surface completion; Temporal; Unified Modeling.

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Dendritic+ Processing in an Emergic Network Model of Narrow Slit Viewing

Leibovitz, D. P. & West, R. L. (2013) Dendritic+ Processing in an Emergic Network Model of Narrow Slit Viewing. In R. West & T. Stewart (eds.), Proceedings of the 12th International Conference on Cognitive Modeling (ICCM 2013), pp. 1-6. [doi10.13140/RG.2.1.3242.4165] (PDF)

Leibovitz & West (2013) Dendritic+ Processing in an Emergic Network Model of Narrow Slit ViewingAbstract: Accounting for dendritic+ processing facilitates richer neural encoding schemes that can ultimately lead to simpler networks while improving their neurobiological plausibility. Dendritic+ processing is an example of several modeling tradeoffs: how local complexifications can improve global simplicity, and how functional network circuitry can be traded against representational circuitry. This is demonstrated within a model of narrow slit viewing based on an emergic network architecture (Leibovitz & West, 2012).

Keywords: Dendritic processing; Emergic Cognitive Model (ECM); Emergic Network (EN); Flowcentric; Neural coding; Representation; Slit Viewing; Unified Modeling.

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Understanding each other: Defining a conceptual space for cognitive modeling

West, R. L., & Leibovitz, D. P. (2012). Understanding each other: Defining a conceptual space for cognitive modeling. 34th annual meeting of the Cognitive Science Society (CogSci 2012) (pp. 2535-2539). Sapporo, Japan. [doi10.13140/RG.2.1.2760.1128] (PDF)

West & Leibovitz (2012) Understanding each other- Defining a conceptual space for cognitive modelAbstract: Cognitive modeling is a complex endeavor so it is not surprising that the goals and intentions of modelers are often misunderstood, even by other modelers. To try to clarify this we have attempted to map out the various philosophical and theoretical commitments that one makes when creating a cognitive model or architecture. The goal of this is to avoid misunderstandings between the adherents of different modeling systems and between cognitive modelers and the rest of the scientific community.

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Cognitive Re-Use via Emergic Networks

Leibovitz, D. P., & West, R. L. (2012) Cognitive Re-Use via Emergic Networks. Proceedings of the 11th International Conference on Cognitive Modeling (ICCM 2012) (pp. 72-73). Berlin, Germany. [doi: 10.13140/RG.2.1.3562.9282] (pdf)

Leibovitz & West (2012) Cognitive Re-Use via Emergic Networks (ICCM Poster)Abstract: In this paper we introduce a new cognitive modeling system called Emergic Networks. The Emergic Network system is designed to facilitate functional, nonlinear decomposition with the aim of understanding how different neural systems can interact to produce specific instances of cognitive functionality. The first part of the paper briefly describes the motivation for the system and the second part briefly describes the system and provides a web location for downloading.

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