Brain, Vision, and Artificial Intelligence大脑、视觉与人工智能/会议录
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内容提要：
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 research forum available.
目录：
Brain Basics
Towards a Dynamic Neuropharmacology: Integrating Network and Receptor Levels Cortical Architecture Unsupervised Recognition of Neuronal Discharge Waveforms for On-line Real-Time Operation Neural Connectivity and Dynamical Regimes of Neural Activity in a Network of Interactive Populations Signal Transmission and Synchrony Detection in a Network of Inhibitory Interneurons Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networks Inverse First Passage Time Method in the Analysis of Neuronal Interspike Intervals of Neurons Characterized by Time Varying Dynamics Coding by Neural Population Oscillations? Neural Code and Irregular Spike Trains Natural Vision Basic Retinal Circuitry in Health and Disease Does a Plane Imitate a Bird? Does Computer Vision Have to Follow Biological Paradigms? A Neural Model of Human Object Recognition Development Photoelectric Response of Bacteriorhodopsin in Thin PVA Films and Its Model Non-image Forming Function of the Extraocular Photoreceptors in the Ganglion of the Sea Slug Onchidium A Population-Based Inference Framework for Feature-Based Attention in Natural Scenes Multi-modal Primitives as Functional Models of Hyper-columns and Their Use for Contextual Integration Three Dilemmas of Signal- and Symbol-Based Representations in Computer Vision An LGN Inspired Detect/Transmit Framework for High Fidelity Relay of Visual Information with Limited Bandwidth On Cognitive Dynamic Map and Its Use for Navigation in Space Visual Selection in Human Frontal Eye Fields Multi-scale Keypoints in V1 and Face Detection …… Artificial Inteligence Artificial Vision Author Index |