Emergic Modeling (Lecture)

Leibovitz, D. P. (2018) Emergic Modeling. Lecture first given to the “PSYC 4700B/5700: Cognitive Modeling” class, Carleton University, pp  1-40, Ottawa, Ontario, Canada. [doi: 10.13140/RG.2.2.30001.28002] (pdf)

Abstract: Unifying modeling and its philosophizing.

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Presented:

  • 2018-01-29: PSYC 4700B/5700: Cognitive Modeling
  • 2018-02-02: CGSC 3201: Empirical Issues in Cognitive Science

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

Leibovitz & West (2013) Dendritic+ Processing in an Emergic Network Model of Narrow Slit Viewing (POSTER)Leibovitz, D. P. & West, R. L. (2013) Dendritic+ Processing in an Emergic Network Model of Narrow Slit Viewing. Poster presented to the the 12th International Conference on Cognitive Modeling (ICCM 2013), Ottawa: Carleton University. [doi: 10.13140/RG.2.1.2849.2002] (pdf)

Abstract: 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, 2013).

Keywords: Dendritic processing; Emergic Cognitive Model (ECM); Emergic Network (EN); Flowcentric; Neural coding; Representation; Slit Viewing; 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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A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture (Doctoral dissertation)

Leibovitz, D. P. (2013). A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture. (Order No. NR94549, Carleton University (Canada)). ProQuest Dissertations and Theses, pp. xxxii-459. Retrieved from http://search.proquest.com/docview/1437103134?accountid=9894. (1437103134). [doi10.13140/RG.2.1.2681.6482] (PDF)

Leibovitz (2013) ThesisAbstract: The Emergic Cognitive Model (ECM) is a unified computational model of visual filling-in based on the Emergic Network architecture. The Emergic Network was designed to help realize systems undergoing continuous change. In this thesis, eight different filling-in phenomena are demonstrated under a regime of continuous eye movement (and under static eye conditions as well). Continue reading

Successful Thesis Defenses – Well Done!

220px-Carleton_University_Logo.svgCongratulations to David Pierre Leibovitz, Sarra Ghazel and Tabish Ismail on their successful thesis defenses last week.

On Thursday January 10th, 2013, David Pierre Leibovitz successfully defended his Ph.D. thesis entitled A Unified Cognitive Model of Visual Filling-In. The Chair for his Defense was Dr. Pauline Rankin.  His External Examiner was Dr. Gary Cottrell from the University of California, San Diego and his Internal/External Examiner was Dr. Craig Leth Steenson.  The members of David’s Committee were Dr. Robert West, Dr. Andre Vellino and Dr. Robert Biddle.

On Friday January 11th, 2013,  Sarra Ghazel successfully defended her Ph.D. thesis entitled Cognitive Architectures in Morphological Processing:  Acquistion and Attrition.  The Chair for her Defense was Dr. Michel Gaulin.  Her External Examiner was Dr. Monika Schmid, University of Groningen, The Netherlands and her Internal External Examiner was Dr. Carmen Leblanc.  The members of Sarra’s committee were Dr. Laura Sabourin, Dr. Lefevre , Dr John Logan and Dr. Kumiko Murasugi.

On Friday January 11, 2013, Tabish Ismail successfully defended his M.Cog.Sc. thesis entitled Truth in Science.  The Chair for his defense was Dr. Deepthi Kamawar.  His Internal/External examiner was Dr. David Matheson.  The members of Tabish’s committee were Dr. Raj Singh, Dr Robert West and Dr. Eros Corazza.  We also wanted to congratulate Tabish as he now officially a Ph.D. Student within the Institute of Cognitive Science!

Congratulations once again to all of you!

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Copied from original positing at

http://carleton.ca/ics/2013/successful-thesis-defenses-well-done/

PhD in Cognitive Science, Carleton University

icsIn 2013, David was awarded the degree of Doctor of Philosophy in Cognitive Science at Carleton University.

In January, he defended a thesis titled “A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture“. His degree was conferred in May.

His thesis supervisor was Robert L. West.

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A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture [Thesis Defense Presentation]

Leibovitz, D. P. (2013) A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture [Thesis Defense Presentation], pp. 1-28. Carleton University. [doi: 10.13140/RG.2.1.2603.5687] (pdf)

Leibovitz (2012) Thesis IntroductionAbstract: Presented at the defense for a thesis titled “A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture“.

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