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Towards a universal neurobiological architecture for learning to read

Marcin Szwed, Fabien Vinckier, Laurent Cohen, Stanislas Dehaene
2012 Behavioral and Brain Sciences  
Although language-specific models remain useful, we should endeavor to develop a universal model of reading acquisition which incorporates crucial neurobiological constraints.  ...  Such a model, through a progressive internalization of phonological and lexical regularities, could perhaps converge onto the language-specific properties outlined by Frost.  ...  From a neuroscientific perspective, much insight can be gained from limited models that consider in detail not only the problems raised by a specific script and language, but also the neurobiological constraints  ... 
doi:10.1017/s0140525x12000283 pmid:22929623 fatcat:a6vhplpxv5fa3g7ag6pg65tlvu

It's all about the constraints

John K. Tsotsos
2014 Current Biology  
, but also hints from neurobiology, are critical precursors to success.  ...  That inspiration was translated into the constraint that any object model he might design and any recognition method he might propose had to have this same characteristic, namely, that if the object changes  ... 
doi:10.1016/j.cub.2014.07.032 pmid:25247361 fatcat:s5xyxa2ydbhs7jg7arvxlm463y

The what, when, where, and how of visual word recognition

Manuel Carreiras, Blair C. Armstrong, Manuel Perea, Ram Frost
2014 Trends in Cognitive Sciences  
Given the architectural constraints of the brain, 'where' information often tells us something important about 'what' types of representations are activated during visual word recognition and 'how' readers  ...  these representations shapes early visual word recognition.  ...  One particularly important recent advance is the ability to incorporate additional neurobiological constraints into standard connectionist models (e.g., by specifying different subpopulations of inhibitory  ... 
doi:10.1016/j.tics.2013.11.005 pmid:24373885 fatcat:x6qpre562nhd7ms3j4k6dm6bna

Page 424 of Psychological Abstracts Vol. 83, Issue 1 [page]

1996 Psychological Abstracts  
(U St Andrews, School of Psychology, Scotland) Modeling visual recognition from neurobiological constraints. Special Issue: Models of neu- rodynamics and behavior.  ...  —Reviews some of the constraints on biological vision and synthesizes a speculative model that reflects current knowl- edge of neurobiology.  ... 

Page 217 of Journal of Cognitive Neuroscience Vol. 15, Issue 2 [page]

2003 Journal of Cognitive Neuroscience  
Visual neurons responsive to faces in the monkey temporal cortex Experimental Brain Research, 47, 329-342 Riesenhuber, M., & Poggio, T. (1999) information Hierarchical models object recognition in cortex  ...  Progress in Neurobiology, VanRullen and Koch 217  ... 

An Introduction to ''Mechanisms of Visual Attention: A Cognitive Neuroscience Perspective"

Werner X. Schneider
1998 Visual Cognition  
The development of the theory from a simple choice and race model towards a computational Theory of Visual Attention (TVA) is outlined.  ...  Based in part on these additional neurobiological constraints and on new behavioural data, a move to a consensus on the central issues has taken place.  ... 
doi:10.1080/713756782 fatcat:bv57viohwnfvngtcc5vny5ncvq

A computational coding model for saliency detection in primary visual cortex

Qi Zou, Zhe Wang, SiWei Luo, YaPing Huang, Mei Tian
2012 Chinese Science Bulletin  
We constructed a coding model satisfying the neurobiological constraints of the primary visual cortex.  ...  A computational coding model for saliency detection in primary visual cortex.  ...  Saliency detection model based on coding in primary visual cortex Given the neurobiological constraints on the information processing in the primary visual cortex, we constructed a coding model with overcomplete  ... 
doi:10.1007/s11434-012-5402-x fatcat:qg3yjvdu2nhsnhnhc7mkqoqtkq

Review of Neurobiologically Based Mobile Robot Navigation System Research Performed Since 2000

Peter J. Zeno, Sarosh Patel, Tarek M. Sobh
2016 Journal of Robotics  
This paper presents a literature survey of state-of-the-art research performed since the year 2000 on rodent neurobiological and neurophysiologically based navigation systems that incorporate models of  ...  Additionally, deep learning is key to place recognition for visual SLAM [74] . Importance of Visual Recognition in Navigation.  ...  Visual and pattern recognition applications are too complex to program.  ... 
doi:10.1155/2016/8637251 fatcat:rbxddsgrwrhhzechpjoxz3rzvq

Organic Computing Methods for Face Recognition (Methoden des Organic Computing zur Gesichtserkennung)

Rolf P. Würtz
2005 it - Information Technology  
The variation in images taken from the same person makes face recognition systems difficult to design — it is impossible to explicitly code all variability.  ...  Beside face recognition, these concepts are used for face classification learned from examples. It is attempted to develop them further to reach a complete parameterization of all faces.  ...  Jets and model graphs The data format for the first integration step has been gleaned from neurobiology.  ... 
doi:10.1524/itit.2005.47.4.207 fatcat:xmxqmjyb3fg63ootpydpqqyvyi

The rebirth of neural networks

Olivier Temam
2010 Proceedings of the 37th annual international symposium on Computer architecture - ISCA '10  
An example design from Intel, this one was analog; both analog and digital designs were proposed at the time.  ...  Full Image Recognition, Only Neurons 24 Using Poggio's HMAX model ranked 7/10 Neurobiology (realism) Architecture (robustness) Example: Poggio's HMAX model; such a bio-inspired approach can  ...  Neurobiology Applications Technology FACET Neuromorphic Machine Learning Constraints Innovations Convergence of Trends Size 26 90 10 10 10mm 10mm 90nm Both application  ... 
doi:10.1145/1815961.1816008 dblp:conf/isca/Temam10 fatcat:umgirnawv5b53gryba6pju3xdy

Page 420 of Neural Computation Vol. 7, Issue 2 [page]

1995 Neural Computation  
recognition (Poggio and Edelman 1990; Poggio 1990; Edelman 1993), and is supported by neurobiological data on the structure of object representations in the inferotemporal cortex of the monkey (Fujita  ...  Sec- ond, the level of performance of the true-prototype model suggests that a system that is subject to biologically reasonable constraints on its ar- chitecture (i.e., the reliance on filters as the  ... 

A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information

BA Olshausen, CH Anderson, DC Van Essen
1993 Journal of Neuroscience  
-Model of Visual Attention and Recognition  ...  Subsequent sections describe the proposed neurobiological substrates and mechanisms, predictions of the model, and a comparison with other models that have been proposed for visual attention and recognition  ... 
doi:10.1523/jneurosci.13-11-04700.1993 pmid:8229193 fatcat:dlgor6uxs5epbfrtkhl6wiy2gu

A hierarchical neural system with attentional top–down enhancement of the spatial resolution for object recognition

Gustavo Deco, Bernd Schürmann
2000 Vision Research  
The system consists of a where-and a what-module which include networks with feedforward and feedback interconnections describing the mutual links between different areas of the visual cortex.  ...  We adopt a computational neuroscience approach in order to analyze this attentional enhancement of the spatial resolution for object recognition.  ...  They present a model of how visual attention can solve the object-recognition problem of position and scale invariance.  ... 
doi:10.1016/s0042-6989(00)00140-1 pmid:10960655 fatcat:qwitukqkzng7nchiwmv6asa6iy

The neurobiology of language: Relevance to linguistics

E. Susan Duncan, Sarah Tune, Steven L. Small
2016 Yearbook of the Poznan Linguistic Meeting  
of language from early localizationist models to the present day.  ...  We conceptualize this relationship in the context of David Marr's information processing theory, with neurobiology as the implementational level of language, and discuss the history of the neurobiology  ...  The macaque is also an important animal model for understanding the visual system.  ... 
doi:10.1515/yplm-2016-0003 fatcat:s4dw6rp6b5fvhew44fatloaxdq

The long road of statistical learning research: past, present and future

Blair C. Armstrong, Ram Frost, Morten H. Christiansen
2016 Philosophical Transactions of the Royal Society of London. Biological Sciences  
From learning basic regularities in the visual modality, to theories of perception, visual cognition, scene segmentation, object recognition, and what we know about the neural systems that support these  ...  This review sets the stage for understanding the possible neurobiological constraints for any theory of SL.  ... 
doi:10.1098/rstb.2016.0047 pmid:27872366 pmcid:PMC5124073 fatcat:f3ad4iws2nhdhiciylzrp3hkim
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