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1
using Convolutional Neural Networks
In: http://publications.idiap.ch/downloads/reports/2013/Palaz_Idiap-RR-13-2013.pdf (2013)
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2
DFG and the Open Access Publication Funds
In: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3869681/pdf/brb30003-0402.pdf (2013)
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3
From Recurrent Neural Network to Long Short Term Memory Architecture -- Application to Handwriting Recognition
In: http://hal.inria.fr/docs/00/86/10/63/PDF/_WEI_XiaoXin_Internship_Reports_final.pdf (2013)
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4
Q.: Scale based region growing for scene text detection
In: http://www.stat.ucla.edu/%7Ejunhua.mao/papers/Scale_based_region_growing_ACM_MM13.pdf (2013)
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5
The affective meanings of automatic social behaviors: Three mechanisms that explain priming
In: http://cogsci.uwaterloo.ca/Articles/schroeder.affective.psychrev.2013.pdf (2013)
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6
ANN and Rule Based Method for English to Arabic Machine Translation
In: http://www.ccis2k.org/iajit/PDF/vol.11,no.4/5308.pdf (2012)
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7
ANN and Rule Based Method for English to Arabic Machine Translation IAJIT First Online Publication
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8
Translation Rules and ANN Based Model for English to Urdu Machine Translation
In: http://www.dcc.ufla.br/infocomp/images/artigos/v10.3/art04.pdf (2011)
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9
The Grounding of Higher Order Concepts in Action and Language: a Cognitive Robotics Model
In: http://www.tech.plym.ac.uk/socce/robotdoc/publications/Stramandinoli-et-al_TheGroundingOfHigherOrderConcepts-NN.pdf (2011)
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10
Why would musical training benefit the neural encoding of speech? The OPERA hypothesis
In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/27/63/Front_Psychol_2011_Jun_29_2_142.tar.gz (2011)
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11
A cross-linguistic model of the acquisition of inflectional morphology
In: http://www.psyc.bbk.ac.uk/research/DNL/personalpages/cogsci2010-Karaminis-Thomas-MIG.pdf (2010)
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12
Symbolic reasoning in spiking neurons: A model of the cortex/basal ganglia/thalamus loop. 32nd Annual Meeting of the Cognitive Science Society
In: http://compneuro.uwaterloo.ca/files/publications/stewart.2010a.pdf (2010)
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13
Thinking with your body: modelling spatial biases in categorization using a real humanoid robot
In: http://www.tech.plym.ac.uk/SOCCE/staff/TonyBelpaeme/papers/Morse_Thinking_with_your_body_CogSci2010.pdf (2010)
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14
A neural theory of language and embodied construction grammar. The Oxford Handbook of Linguistic Analysis
In: http://www.computational-logic.org/content/events/iccl-ss-2010/slides/feldman/papers/ox.pdf (2009)
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15
Language Networks: their structure, function and evolution
In: http://complex.upf.es/~ricard/LANGNETS2.pdf (2009)
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16
Neurolinguistic aspects of metaphor theory
In: http://isca-speech.org/archive_open/archive_papers/exling2008/exl8_017.pdf (2008)
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17
eFFECTS OF aTTENTION ON . . . on Speech Perception: Behavioral Experiments and Computational Mechanisms
In: http://psychology.stanford.edu/~jlm/papers/MirmanMcCHoltMagnuson08Attention.pdf (2008)
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18
Effects of Attention on the Strength of Lexical Influences on Speech Perception: Behavioral Experiments and Computational Mechanisms
In: http://www.psy.cmu.edu:16080/~lholt/publications/MirmanMcClellandHoltMagnuson2008.pdf (2008)
Abstract: The effects of lexical context on phonological processing are pervasive and there have been indications that such effects may be modulated by attention. However, attentional modulation in speech processing is neither well documented nor well understood. Experiment 1 demonstrated attentional modulation of lexical facilitation of speech sound recognition when task and critical stimuli were identical across attention conditions. We propose modulation of lexical activation as a neurophysiologically plausible computational mechanism that can account for this type of modulation. Contrary to the claims of critics, this mechanism can account for attentional modulation without violating the principle of interactive processing. Simulations of the interactive TRACE model extended to include two different ways of modulating lexical activation showed that each can account for attentional modulation of lexical feedback effects. Experiment 2 tested conflicting predictions from the two implementations and provided evidence that is consistent with bias input as the mechanism of attentional control of lexical activation.
Keyword: Attention; Human experimentation; Interactive processing; Lexical feedback; Neural networks; Phoneme recognition; Speech perception
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.7225
http://www.psy.cmu.edu:16080/~lholt/publications/MirmanMcClellandHoltMagnuson2008.pdf
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19
Author's personal copy Towards a neurocomputational model of speech production and perception
In: http://www.phonetik.phoniatrie.rwth-aachen.de/bkroeger/documents/Kroeger_etal_2009.pdf (2008)
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20
Neural mechanisms underlying auditory feedback control of speech
In: http://web.mit.edu/hst.722/www/Topics/Speech/Tourville_in press_NeuroImage_PrePrint.pdf (2008)
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