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Towards a universal neurobiological architecture for learning to read
2012
Behavioral and Brain Sciences
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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
2014
Current Biology
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, 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
2014
Trends in Cognitive Sciences
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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
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(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
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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"
1998
Visual Cognition
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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
2012
Chinese Science Bulletin
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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
2016
Journal of Robotics
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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)
2005
it - Information Technology
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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
2010
Proceedings of the 37th annual international symposium on Computer architecture - ISCA '10
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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
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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
1993
Journal of Neuroscience
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-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
2000
Vision Research
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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
2016
Yearbook of the Poznan Linguistic Meeting
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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
2016
Philosophical Transactions of the Royal Society of London. Biological Sciences
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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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