Multi-layer Cortical Learning Algorithms

Agrawal, Pulin; Franklin, Stan

doi:10.1109/ccmb.2014.7020707

Cited by 4 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This can be done by selecting an appropriate set of sensors whose output will be fed to a CLA region for a particular kind of feature detection. A hierarchy of CLA regions can be used if the feature is very complex (Agrawal & Franklin, 2014).…”

Section: Sensory Memorymentioning

confidence: 99%

“…Sensory Memory P P (Agrawal & Franklin, 2014;Franklin, et al, 2014;) Perceptual Associative Memory P P (Franklin, et al, 2014;) Structure Building Codelets P P (Franklin & Baars, 2010) Conscious Contents Queue F F ) Workspace F F (Franklin & Baars, 2010) Spatial Memory N P (Madl, et al, to appear;Madl, et al, 2013) Transient Episodic Memory F F (Franklin, et al, 2005) Declarative Memory F F (Franklin, et al, 2005) Attention Codelets P P (Faghihi, et al, 2012;Madl & Franklin, 2012) Global Workspace F F (Baars, et al, 2013;Franklin, et al, 2013;Franklin, et al, 2012) Procedural Memory F F (Franklin, et al, 2005) Action Selection F F (Negatu, D'Mello, & Franklin, 2007;Negatu & Franklin, 2002), Sections 5.7, 6 Sensory Motor Memory P P (Dong, 2014;Dong & Franklin, 2015b) Motor Plan Execution P P (Dong, 2014;Dong & Franklin, 2015b) "Embodiment", interface to robot N P (Madl, et al, to appear).…”

Section: Referencesmentioning

confidence: 99%

See 1 more Smart Citation

A LIDA cognitive model tutorial

Franklin

Madl

Strain

et al. 2016

Biologically Inspired Cognitive Architectures

Self Cite

View full text Add to dashboard Cite

Over a decade in the making and described in some seventy-five published papers, the LIDA cognitive model is comprehensive, complex, and hard to "wrap one's head around". Here we offer, in tutorial fashion, a current, relatively complete and somewhat detailed, description of the conceptual LIDA model, with pointers to more complete accounts of individual processes in the literature. These descriptions also include some features of the workings of the LIDA model that have not been published previously. The tutorial begins with several short sections designed to ease the reader into the LIDA model. These are followed by an account of the conceptual commitments of the LIDA model. We also include a brief introduction to the LIDA computational model via the LIDA Framework, with pointers to its own tutorial. This is followed by sketches of several of the LIDA based agents developed with the help of the Framework. The tutorial ends with a section on current research activity, which includes a table showing which aspects of the LIDA conceptual model have currently been implemented computationally.

show abstract

Section: Sensory Memorymentioning

confidence: 99%