TAILIEUCHUNG - VISUAL CORTEX – CURRENT STATUS AND PERSPECTIVES

The neurosciences have experienced tremendous and wonderful progress in many areas, and the spectrum encompassing the neurosciences is expansive. Suffice it to mention a few classical fields: electrophysiology, genetics, physics, computer sciences, and more recently, social and marketing neurosciences. Of course, this large growth resulted in the production of many books. Perhaps the visual system and the visual cortex were in the vanguard because most animals do not produce their own light and offer thus the invaluable advantage of allowing investigators to conduct experiments in full control of the stimulus | VISUAL CORTEX -CURRENT STATUS AND PERSPECTIVES Edited by Stéphane Molotchnikoff and Jean Rouat Visual Cortex - Current Status and Perspectives http 3018 Edited by Stéphane Molotchnikoff and Jean Rouat Contributors José L. Bueno-López Juan C. Chara Juan L. Mendizabal-Zubiaga Concepción Reblet Alyssa A. Brewer Brian Barton Carole Peyrin Benoit Musel Athena Buckthought Janine D. Mendola Craig Aaen-Stockdale Benjamin Thompson Brendan D. Cameron Gordon Binsted Jackson . Smith Nicolas Y. Masse Chang an A. Zhan Erik P. Cook Claudio Castellanos Sanchez Manuel Hernandez Hernandez Pedro Luis Sanchez Orellana Zhiyong Yang Vincent de Ladurantaye Jean Rouat Jacques Vanden-Abeele Ai-Ling Lin Jia-Hong Gao Peter T. Fox Enrike G. Argandona Harkaitz Bengoetxea Naiara Ortuzar Susana Bulnes Irantzu Rico-Barrio José Vicente Lafuente José Fernando Maya-Vetencourt Matteo Caleo Alessandro Sale Nicoletta Berardi Lamberto Maffei Lyes Bachatene Vishal Bharmauria Stéphane Molotchnikoff Shigeru Tanaka I. Gerrikagoitia B. Rienda L. Martinez-Millan Marina Arall August Romeo Hans Super Published by InTech Janeza Trdine 9 51000 Rijeka Croatia Copyright 2012 InTech All chapters are Open Access distributed under the Creative Commons Attribution license which allows users to download copy and build upon published articles even for commercial purposes as long as the author and publisher are properly credited which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech authors have the right to republish it in whole or part in any publication of which they are the author and to make other personal use of the work. Any republication referencing or personal use of the work must explicitly identify the original source. Notice Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the

• Y học thường thức
• Visual Cortex
• Principal Neurons
• Neural Mechanisms
• Visual Motion
• Attentional Contributions
• Statistical Machine
• Neurobics Work
• Ending the Day
• brain areas
• SCIENTIFIC BASIS
• BRAIN WORKS
• Premotor Cortex
• relationship between
• inherently elastic
• treatments possible
• Wildlife Conservation
• Genome Banking
• Cats Reproductive
• A Discriminative Latent Variable Model
• Statistical Machine Translation
• A Discriminative Latent Variable Model for Statistical Machine Translation
• báo cáo khoa học
• báo cáo ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• N gram based Statistical
• Machine Translation versus Syntax Augmented Machine Translation
• comparison and system combination
• scientific reports
• model language
• process natural language
• Khoa học máy tính
• Tạp chí khoa học
• Natural Language Processing
• Machine Translation
• Phrase based Statistical Machine Translation
• Domain adaptation
• The English Vietnamese language pair
• Low resource domains
• An Open Source Toolkit
• Tree Forest Based Statistical Machine Translation
• Xianchao Wu
• ngôn ngữ tự nhiên
• A Ranking based Approach
• Word Reordering
• Nan Yang†
• Mu Li
• Mixing Multiple Translation Models
• SMT
• Private Access
• Phrase Tables
• Fast and Scalable Decoding
• Language Model Look Ahead
• A Comparative Study
• Target Dependency Structures
• Enhancing Statistical Machine Translation
• Character Alignment
• Ning Xi
• Translation Model Size Reduction
• Hierarchical Phrase based
• Post ordering by Parsing
• Japanese English Statistical Machine Translation
• Isao Goto Masao Utiyama
• Translation Model Adaptation
• Monolingual Topic Information
• Modified Distortion Matrices
• Arianna Bisazza and Marcello Federico
• Syntax to Morphology Mapping in Factored
• Phrase Based Statistical Machine Translation from English to Turkish
• Reyyan Yeniterzi
• Error Detection
• Linguistic Features
• Improving Statistical Machine Translation
• Monolingual Collocation
• Zhanyi Liu
• Bilingual Sense Similarity
• Boxing Chen
• George Foster and Roland Kuhn
• Bucking the Trend
• Large Scale Cost Focused Active Learning
• Paraphrase Lattice
• Takashi Onishi and Masao Utiyama
• Filtering Syntactic Constraints
• Hailong Cao and Eiichiro Sumita
• Efficient Path Counting Transducers
• Minimum Bayes Risk Decoding
• Statistical Machine Translation Lattices
• Hypothesis Mixture Decoding
• Nan Duan
• Enhancing Language Models
• Statistical Machine Translation with Backward N grams
• Mutual Information Triggers