| The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science resarch forum available. The scope of LNCS,including its subseries LNAI,spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material publised traditionally includes. -proceedings(published in time for the respective conference) -post-proceedings(consisting of thoroughly revised final full papers) -research monographs(which may be basde on outstanding PhD work,research projects,technical reports,etc.) |
| Modeling the Brain and Cognitive Functions Novelty Analysis in Dynamic Scene for Autonomous Mental Development The Computational Model to Simulate the Progress of Perceiving Patterns in Neuron Population Short Term Memory and Pattern Matching with Simple Echo State Networks Analytical Solution for Dynamic of Neuronal Populations Dynamics of Cortical Columns - Sensitive Decision Making Dynamics of Cortical Columns - Self-organization of Receptive Fields Optimal Information Transmission Through Cortico-Cortical Synapses Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances Modelling Path Integrator Recalibration Using Hippocampal Place Ceils Coding of Objects in Low-Level Visual Cortical Areas A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability Building the Cerebellum in a Computer Special Session: The Development of Cognitive Powers in Embodied Systems Combining Attention and Value Maps Neural Network with Memory and Cognitive Functions Associative Learning in Hierarchical Self Organizing Learning Arrays A Review of Cognitive Processing in the Brain Spiking Neural Networks Neuronal Behavior with Sub-threshold Oscillations and Spiking/ Bursting Activity Using a Piecewise Linear Two-Dimensional Map On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning A Spiking Neural Sparse Distributed Memory Implementation for Learning and Predicting Temporal Sequences ANN-Based System for Sorting Spike Waveforms Employing Refractory Periods Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity …… Associative Memory Models Models of Biological Functions Special Session:Projects in the Area of NeuroIT Evlutionary and Other Biological Inspirations Self-organizing Maps and Their Applications Computer Vision Face Recognition and Detection Sound and Speech Recognition Bioninformatics Biomedical Applications Special Session :Information-Theoretic Concepts in Biomedical Data Analysis Acknowledgements to the Reviewers Author Index |
内容加载中，请稍后...
商品评论（0条）