Brain Informatics: International Conference, BI 2010, Toronto, Canada, August 28-30, 2010, Proceedings de Yiyu Yao

Brain Informatics: International Conference, BI 2010, Toronto, Canada, August 28-30, 2010, Proceedings: Lecture Notes in Computer Science, cartea 6334

Editat de Yiyu Yao, Ron Sun, Tomaso Poggio, Jiming Liu, Ning Zhong, Jimmy Huang

en Limba Engleză Paperback – 11 aug 2010

Complementar volumului Brain Informatics and Health, care pune accent pe aplicațiile clinice și bunăstarea umană, Brain Informatics (BI 2010) se concentrează pe mecanismele fundamentale ale sistemului uman de procesare a informației (HIPS). În timp ce alte lucrări din serie, precum Neural Information Processing, explorează rețelele neuronale în sens larg, volumul de față izolează intersecția dintre neuroștiința cognitivă și tehnologiile Web Intelligence (WI). Găsim în această carte o abordare interdisciplinară riguroasă, menită să captureze principiile de funcționare ale creierului atât la nivel macroscopic, cât și microscopic.

Structura este organizată metodologic, începând cu prelegeri invitate despre raționalitate și informatică cognitivă, continuând cu secțiuni tehnice despre „Cognitive Computing” și „Data Brain and Analysis”. Suntem de părere că progresia textului reflectă fidel tranziția de la teorie la aplicație practică: de la modele adaptive bazate pe învățarea hebbiană, la metode specifice de procesare a semnalelor, cum ar fi clasificarea trial-urilor unice de EEG sau analiza imaginilor DTI (Diffusion Tensor Imaging). Un element distinctiv îl reprezintă accentul pus pe utilizarea grid-urilor de cunoștințe pentru analiza datelor la scară largă, propunând o infrastructură globală de cercetare.

Publicat de Springer în prestigioasa serie Lecture Notes in Computer Science, volumul documentează un moment de tranziție către colaborarea distribuită în neuroștiințe. Textul oferă detalii tehnice despre recunoașterea emoțiilor induse de conținut multimedia și conversia semnalelor cerebrale pentru simbioza cu umanoizii ambulatorii, marcând o direcție clară către sistemele hibride om-mașină.

Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 328^.94 lei

Preț vechi: 411^.17 lei
-20%

Puncte Express: 493

Carte disponibilă

Livrare economică 23 mai-06 iunie

Adaugă în coș

Wish list
Gift list
Am citit!

Adaugă în listă

Specificații

ISBN-13: 9783642153136
ISBN-10: 3642153135
Pagini: 440
Ilustrații: XVI, 440 p. 162 illus.
Dimensiuni: 9 x 91 x 25 mm
Greutate: 0.68 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

De ce să citești această carte

Recomandăm acest volum cercetătorilor din domeniul neuroștiințelor computaționale și inginerilor software interesați de modelarea proceselor cognitive. Cititorul câștigă acces la metodologii avansate de analiză a semnalelor cerebrale și la modele matematice pentru procesele decizionale. Este o resursă tehnică esențială pentru înțelegerea modului în care infrastructura Web poate accelera descoperirile despre funcționarea creierului uman.

Cuprins

Keynote Talks.- Fractionating the Rational Brain.- Cognitive Informatics and Denotational Mathematical Means for Brain Informatics.- Cognitive Computing.- An Adaptive Model for Dynamics of Desiring and Feeling Based on Hebbian Learning.- Modelling the Emergence of Group Decisions Based on Mirroring and Somatic Marking.- Rank-Score Characteristics (RSC) Function and Cognitive Diversity.- Cognitive Effort for Multi-agent Systems.- Behavioural Abstraction of Agent Models Addressing Mutual Interaction of Cognitive and Affective Processes.- Data Brain and Analysis.- The Effect of the Normalization Strategy on Voxel-Based Analysis of DTI Images: A Pattern Recognition Based Assessment.- Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos.- Brain Signal Recognition and Conversion towards Symbiosis with Ambulatory Humanoids.- Feature Rating by Random Subspaces for Functional Brain Mapping.- Recurrence Plots for Identifying Memory Components in Single-Trial EEGs.- Comparing EEG/ERP-Like and fMRI-Like Techniques for Reading Machine Thoughts.- Improving Individual Identification in Security Check with an EEG Based Biometric Solution.- Neuronal Modeling and Brain Modeling.- Segmentation of 3D Brain Structures Using the Bayesian Generalized Fast Marching Method.- Domain-Specific Modeling as a Pragmatic Approach to Neuronal Model Descriptions.- Guessing What’s on Your Mind: Using the N400 in Brain Computer Interfaces.- A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity.- Perception and Information Processing.- How Does Repetition of Signals Increase Precision of Numerical Judgment?.- Sparse Regression Models of Pain Perception.- A Study of Mozart Effect on Arousal, Mood, andAttentional Blink.- Learning.- Attentional Disengage from Test-Related Pictures in Test-Anxious Students: Evidence from Event-Related Potentials.- Concept Learning in Text Comprehension.- A Qualitative Approach of Learning in Parkinson’s Disease.- Cognition-Inspired Applications.- Modelling Caregiving Interactions during Stress.- Computational Modeling and Analysis of Therapeutical Interventions for Depression.- A Time Series Based Method for Analyzing and Predicting Personalized Medical Data.- Language Analytics for Assessing Brain Health: Cognitive Impairment, Depression and Pre-symptomatic Alzheimer’s Disease.- The Effect of Sequence Complexity on the Construction of Protein-Protein Interaction Networks.- Data Fusion and Feature Selection for Alzheimer’s Diagnosis.- A Cognitive Architecture Based on Neuroscience for the Control of Virtual 3D Human Creatures.- Towards Inexpensive BCI Control for Wheelchair Navigation in the Enabled Environment – A Hardware Survey.- Expression Recognition Methods Based on Feature Fusion.- Investigation on Human Characteristics of Japanese Katakana Recognition by Active Touch.- WICI Perspectives on Brain Informatics.- Towards Systematic Human Brain Data Management Using a Data-Brain Based GLS-BI System.- The Role of the Parahippocampal Cortex in Memory Encoding and Retrieval: An fMRI Study.- Brain Activation and Deactivation in Human Inductive Reasoning: An fMRI Study.- Clustering of fMRI Data Using Affinity Propagation.- Interaction between Visual Attention and Goal Control for Speeding Up Human Heuristic Search.- The Role of Posterior Parietal Cortex in Problem Representation.- Basic Level Advantage and Its Switching during Information Retrieval: An fMRI Study.

Descriere

This volume contains the papers selected for presentation at The 2010 Int- national Conference on Brain Informatics (BI 2010) held at York University, Toronto, Canada, during August 28 30, 2010. It was organized by the Web - telligenceConsortium(WIC), theIEEEComputationalIntelligenceSocietyTask Force on Brain Informatics (IEEE-CIS TF-BI), and York University. The c- ference washeld jointly with the 2010InternationalConference on Active Media Technology (AMT 2010). Brain informatics (BI) hasemergedasaninterdisciplinaryresearch?eld that focuses on studying the mechanisms underlying the human information proce- ing system (HIPS). It investigates the essential functions of the brain, ranging from perception to thinking, and encompassing such areas as multi-perception, attention, memory, language, computation, heuristic search, reasoning, pl- ning, decision-making, problem-solving, learning, discovery, and creativity. The goal of BI is to develop and demonstrate a systematic approach to achieving an integrated understanding of both macroscopic and microscopic-level working principles of the brain, by means of experimental, computational, and cognitive neuroscience studies, as well as utilizing advanced Web intelligence (WI)-centric information technologies. BI represents a potentially revolutionary shift in the way that research is undertaken. It attempts to capture new forms of colla- rative and interdisciplinary work. In this vision, new kinds of BI methods and global research communities will emerge, through infrastructure on the wisdom Web and knowledge grids that enable high-speed and distributed, large-scale analysis and computations, and radically new ways of sharing data/knowledge. TheBrainInformaticsConferencesstartedwiththeFirstWICIInternational Workshop on Web Intelligence meets Brain Informatics (WImBI 2006), held at Beijing, China, December15 16,2006."