Cortical information processing / Ning Song.

Format:

Book

Manuscript

Thesis/Dissertation

Author/Creator:

Song, Ning.

Contributor:

Farhat, Nabil H., advisor.

Spiegel, Jan Van Der, committee member.

Engheta, N. (Nader), committee member.

Santiago-Aviles, Jorge, committee member.

Farhat, Nabil H., committee member.

University of Pennsylvania. Electrical and Systems Engineering.

Language:

English

Subjects (All):

Penn dissertations--Electrical and systems engineering.

Electrical and systems engineering--Penn dissertations.

Local Subjects:

Penn dissertations--Electrical and systems engineering.

Electrical and systems engineering--Penn dissertations.

Physical Description:

xii, 143 pages : illustrations ; 29 cm

Production:

2012.

Summary:

Modeling cortex of the brain and building brain-like intelligent systems has been the focus of significant research efforts over many years. This dissertation discusses a novel approach to modeling the cortical information processing underlying cognition and intelligence of the human brain which focuses on a paradigm that is different than that used in the traditional algorithm-based AI models. By considering the cortical column as the functional processing element, the cortex can be modeled in the aggregate level. The resulting model is a Parametrically Coupled Logistic Map network (PCLMN) which emulates the thalamo-cortical information processing. Coupling such a model with a suitable associative memory creates an unprecedented, albeit, abstract model of a cortical module that could facilitate understanding the human brain and eventually building an artificial brain.

Notes:

Adviser: Nabil H. Farhat.

Thesis (Ph.D. in Electrical and Systems Engineering) -- University of Pennsylvania, 2012.

Includes bibliographical references.

OCLC:

820622521