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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
, 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
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
(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. ...
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 ...
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
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
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  . Importance of Visual Recognition in Navigation. ... Visual and pattern recognition applications are too complex to program. ...doi:10.1155/2016/8637251 fatcat:rbxddsgrwrhhzechpjoxz3rzvq
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
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
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 ...
-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
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
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
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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