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Page 991 of Neural Computation Vol. 5, Issue 6 [page]

1993 Neural Computation  
A Neural Network Model of Inhibitory Information Processing in Aplysia (Letter) 5(6):823-842 5(2):278-288 5(1):140-153 5(1):45-60 5(3):402-418 5(3):456-462 5(3):371-373 5(2):267-277 5(2):213-227  ...  Index Volume 5 By Author Abbott, L. F and LeMasson, G. Analysis of Neuron Models with Dynamically Regulated Conductances (Article) Abu-Mostafa, Y. S.  ... 

Index to Volume 6

1994 Neural Computation  
Index Volume 6 By Author Amari, S. I. — See Kawanabe, M. Amit, D. and Fusi, S. Learning in Neural Networks with Material Synapses (Letter) Armentrout, S. L. — See Sutton III, G. G. Atick, J.  ...  Neural Network Process Models Based on Linear Model Structures (Letter) Sejnowski, T. J. — See Destexhe, A. Selverston, A. I. — See Doya, K. Shadafan, R. S. and Niranjan, M.  ... 
doi:10.1162/neco.1994.6.6.1303 fatcat:y73yqa4bcjbl5huatq6hqfi4xm

Index to Volume 5

1993 Neural Computation  
A Neural Network Model of Inhibitory Information Processing in Aplysia (Letter) 5(6):823-842 5(2):278-288 5(1):140-153 5(1):45-60 5(3):402-418 5(3):456-462 5(3):371-373 5(2):267-277 5(2):213-227 992 Borst  ...  A Neural Network for the Processing of Optic Flow from Ego-Motion in Man and Higher Mammals (Letter) 5(3):374-391 LeMasson, G. — See Abbott, L. F. Leung, H. and Haykin, S.  ... 
doi:10.1162/neco.1993.5.6.991 fatcat:ww447kr4j5bpblkccdssj2g3dy

Sensori-motor experience leads to changes in visual processing in the developing brain

Karin Harman James
2010 Developmental Science  
Since Broca's studies on language processing, cortical functional specialization has been considered to be integral to efficient neural processing.  ...  The change of activation in these neural circuits provides important evidence that 'learning-by-doing' can lay the foundation for, and potentially strengthen, the neural systems used for visual letter  ...  Figure 5 5 Left anterior fusiform gyrus.  ... 
doi:10.1111/j.1467-7687.2009.00883.x pmid:20136924 pmcid:PMC4176698 fatcat:mwia3x6rg5a7fb4cdtc54fdcw4

Letter representations in writing: an fMRI adaptation approach

Olivier Dufor, Brenda Rapp
2013 Frontiers in Psychology  
Using an fMRI adaptation paradigm we examined the neural distribution of inhibition and release from inhibition in a letter-writing task in which, on every trial, participants produced three repetitions  ...  After delineating the general letter writing network by identifying areas that exhibited significant neural adaptation effects on no-change trials, we used deconvolution analysis to examine this network  ...  Analysis 1: identifying letter-sensitive cortex The objective of this analysis was to identify neural regions involved in letter representation and processing by identifying those areas that showed neural  ... 
doi:10.3389/fpsyg.2013.00781 pmid:24194724 pmcid:PMC3809555 fatcat:l6ju255cpre5xibnukco24eira

Visual processing of multiple elements in the dyslexic brain: evidence for a superior parietal dysfunction

Muriel A. Lobier, Carole Peyrin, Cédric Pichat, Jean-François Le Bas, Sylviane Valdois
2014 Frontiers in Human Neuroscience  
In VA span impaired dyslexic children, poor performance on letter report tasks is associated with reduced parietal activations for multiple letter processing.  ...  Using a priori anatomically defined regions of interest, we showed that neural activity was reduced for dyslexic participants in both SPL and vOT bilaterally.  ...  479 | 5 July 2014 | Volume 8 | Article 479 | 6 July 2014 | Volume 8 | Article 479 | 7 July 2014 | Volume 8 | Article 479 | 8 July 2014 | Volume 8 | Article 479 | 9 July 2014 |  ... 
doi:10.3389/fnhum.2014.00479 pmid:25071509 pmcid:PMC4083222 fatcat:xdsl3h6nz5at5nmsbxao45bue4

Identify Handwriting Individually Using Feed Forward Neural Networks

Constantin Anton, Cosmin Stirbu, Romeo-Vasile Badea
2011 International Journal of Intelligent Computing Research  
The paper justifies the necessity to use the hand writer identification using the feed forward neural networks.  ...  Identifying the authors of a handwritten sample using automatic image-based processing methods is an interesting pattern recognition problem with direct applicability in the legal and historic documents  ...  -the binary image Figure 5 . 5 Selected letters from known text written by a) Mr. Miu, b) Mr. Cigoeanu andMr.  ... 
doi:10.20533/ijicr.2042.4655.2011.0022 fatcat:ic6kt23rpjehxkp3j4ntvhsdye

Neural bases of orthographic long-term memory and working memory in dysgraphia

Brenda Rapp, Jeremy Purcell, Argye E. Hillis, Rita Capasso, Gabriele Miceli
2015 Brain  
Spelling a word involves the retrieval of information about the word's letters and their order from long-term memory as well as the maintenance and processing of this information by working memory in preparation  ...  These findings also contribute to our understanding of the relationship between the neural instantiation of written language processes and spoken language, working memory and other cognitive skills.  ...  In turn, the peripheral processes produce letters in a specific modality and format and, to that end, select specific letter shapes (case and font) for written spelling, letter names for oral spelling,  ... 
doi:10.1093/brain/awv348 pmid:26685156 pmcid:PMC4805091 fatcat:vf6kvcf4nvghxioxkbxo7ylinq

Implementation and Performance Evaluation of Neural Network for English Alphabet Recognition System

Myat Thida Tun
2018 Zenodo  
For character recognition, there are many prosperous algorithms for training neural networks. Back propagation (BP) is the most popular algorithm for supervised training multilayer neural networks.  ...  One of the most classical applications of the Artificial Neural Network is the character recognition system.  ...  This paper explains the processing steps of Character Recognition System. The user can be easily seen the  ... 
doi:10.5281/zenodo.2600562 fatcat:sdcabneqt5cdvg55i6rer7ipay

Alphabet Recognition System Based on Artifical Neural Network

Myat Thida Tun
2018 International Journal of Trend in Scientific Research and Development  
For character recognition, there are many prosperous algorithms for training neural networks. Back propagation (BP) is the most popular algorithm for supervised training multilayer neural networks.  ...  One of the most classical applications of the Artificial Neural Network is the character recognition system.  ...  International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470 @ IJTSRD | Available Online @ www.ijtsrd.com | Volume -2 | Issue -5 | Jul-Aug 2018 Page: 473 Table . .  ... 
doi:10.31142/ijtsrd15854 fatcat:am3mzhhhi5b63aje4ehnh3wgom

Page 846 of Journal of Cognitive Neuroscience Vol. 18, Issue 5 [page]

2006 Journal of Cognitive Neuroscience  
This may result in multiple-letter stimuli falling on the RFs of the same cells and com- peting for the neural representations resulting from the activation of these cells.  ...  Note : that the ERL results only apply to the old trials ~~ |Memory set | (2 or 4 letters) | Probe | (upper or lower case) 200 msec —«——— 1400 msec | 200 msec S40 Journal of Cognitive Neuroscience Volume  ... 

Common Neural Substrates for Ordinal Representation in Short-Term Memory, Numerical and Alphabetical Cognition

Lucie Attout, Wim Fias, Eric Salmon, Steve Majerus, Daniel Ansari
2014 PLoS ONE  
We show here that the neural substrates allowing for coding of order information in STM are shared with those supporting ordinal processing in the numerical and alphabetical domains.  ...  These findings demonstrate that shared neural correlates in the intraparietal cortex support processing of order information in verbal STM, number and alphabetical domains, and suggest the existence of  ...  .,5. If not otherwise stated, all regions are significant at p,.05, corrected for whole brain volume.  ... 
doi:10.1371/journal.pone.0092049 pmid:24632823 pmcid:PMC3954845 fatcat:ogfmjyau25bdfoeznz5oesggpe

Direct Evidence for Two Different Neural Mechanisms for Reading Familiar and Unfamiliar Words: An Intra-Cerebral EEG Study

Alexandra Juphard, Juan R. Vidal, Marcela Perrone-Bertolotti, Lorella Minotti, Philippe Kahane, Jean-Philippe Lachaux, Monica Baciu
2011 Frontiers in Human Neuroscience  
After intensive practice, unfamiliar letter strings become familiar words and reading speed increases strikingly from a slow processing to a fast and with more global recognition of words.  ...  Our results validate at the neural level the hypothesis that all words are processed by a common network operating more or less efficiently depending on words' novelty.  ...  5 | Article 101 | 1 September 2011 | Volume 5 | Article 101 | 2 September 2011 | Volume 5 | Article 101 | 3 September 2011 | Volume 5 | Article 101 | 4 September 2011 | Volume 5 |  ... 
doi:10.3389/fnhum.2011.00101 pmid:21960968 pmcid:PMC3176454 fatcat:u5gvpnalmbgulms7zqyxez4smq

Working memory capacity and processing efficiency predict fluid but not crystallized and spatial intelligence: Evidence supporting the neural noise hypothesis

Kenia Martínez, Roberto Colom
2009 Personality and Individual Differences  
Higher scores on fluid intelligence are thought to be related to smaller levels of neural noise-oscillations, as well as to greater levels of processing efficiency and working memory.  ...  These results are consistent with the neural noise hypothesis based on the empirical observation of synchronous activity of neurons in the brain.  ...  This is the expected result if processing efficiency indexes the brain property usually termed ''neural noise".  ... 
doi:10.1016/j.paid.2008.10.012 fatcat:2zi2uy3lx5ddlfx3wbcfdtk3mm

Brain activation patterns resulting from learning letter forms through active self-production and passive observation in young children

Alyssa J. Kersey, Karin H. James
2013 Frontiers in Psychology  
Although previous literature suggests that writing practice facilitates neural specialization for letters, it is unclear if this facilitation is driven by the perceptual feedback from the act of writing  ...  The present study addresses this issue by measuring the change in BOLD signal in response to hand-printed letters, unlearned cursive letters, and cursive letters that 7-year-old children learned actively  ...  least in terms of neural processing.  ... 
doi:10.3389/fpsyg.2013.00567 pmid:24069007 pmcid:PMC3780305 fatcat:jv4u3vcvfzgl3b4rmlyq2xcjze
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