Advances in Cognitive Neurodynamics [electronic resource] : Proceedings of the International Conference on Cognitive Neurodynamics - 2007 /
International Conference on Cognitive NeurodynamicsCorporate Author
International Conference on Cognitive Neurodynamics(1st :2007 :Shanghai, China)
International Conference on Cognitive Neurodynamics
Wang, Rubin.editor.
Gu, Fanji.editor.
Shen, Enhua.editor.
Fifty years ago, enthused by successes in creating digital computers and the DNA model of heredity, scientists were con?dent that solutions to the problems of und- standing biological intelligence and creating machine intelligence were within their grasp. Progress at ?rst seemed rapid. Giant ‘brains’ that ?lled air-conditioned rooms were shrunk into briefcases. The speed of computation doubled every two years. What these advances revealed is not the solutions but the dif?culties of the pr- lems. We are like the geographers who ‘discovered’ America, not as a collection of islands but as continents seen only at shores and demanding exploration. We are astounded less by the magnitude of our discoveries about how brains cogitate than by the enormity of the tasks we have undertaken, to explain and replicate the higher functions of brains. Five decades of brain research have led to the emergence of a new ?eld, which spans the entire range of brain cognition from quantum ?elds to social interactions, and which is combined by the conceptions of nonlinear neurodynamics operating simultaneously at and across all levels. A new breed of scientists has emerged, schooled in multiple academic disciplines, comfortable in working with data from different levels, and conversant with the mathematical tools that are essential to cross boundaries.
Dynamic Interaction Networks and Global Ontology-Based Modelling of Brain Dynamics; The Cauchy Problem for Spiking Neuron Models; On the Dynamics of Spectro-Temporal Tuning in Auditory Cortex; A European Collaboration on Cerebellar LTD and Pattern Recognition; The Role of Layer 6 Feedback Cells in the Primary Visual Cortex; What Language is Spoken Here? Conversations Between Neurons in Primate Visual Cortex; On the Emergence of Orientation Biases in V1; Stress Affects Synaptic Plasticity and Basal Synaptic Transmission in the Rat Hippocampus In Vivo
Physiological Evidence for Cantor Coding Output in Hippocampal CA1Theta Phase Coding and Suppression of Irrelevant Plastic Change Through STDP in the Entorhin-Hippocampal System amid Background Noise; Effect of Low-Frequency Stimulation on Spontaneous Firing in Cultured Neuronal Networks; Modeling Neurons of the Inferior Colliculus; Synchronization Effects in Networks of Striatal Fast Spiking Interneurons - Role of Gap Junctions; Multilayer In-Place Learning Networks with Adaptive Lateral Connections: Models and Simulations
Stimulus-Induced Pairwise Interaction Can Be Revealed by Information Geometric ApproachA Dynamical Model of Fast Intrinsic Optical Signal of Neural Burstings; The Mechanism of Bifurcation-Dependent Coherence Resonance of Morris-Lecar Neuron Model; Noise-Induced Coherence Resonance in Morris-Lecar Neuron System; Chaotic Burst Synchronization in a Small-World Neuronal Network; A Stochastic Resonance Memory Mechanism of Hippocampus; Theta Phase Precession Enhance Single Trial Learning in an STDP Network
A Numerical Mechanism for Square-Wave or Elliptic Bursting of Bursts in a Map-Based Neuron NetworkSub-Threshold Oscillation and Transient Response in Neural Coding; Setting Up New Memories: The Ideal Job for The Mammalian Dentate Gyrus; Neural Network Model Generating Symbol Sequence for Songs of Bengalese Finch; A New Method for Characterizing the Variability of the Spike Trains; Proposed Renormalization Group Analysis of Nonlinear Brain Dynamics at Criticality; Regulating Cortical Neurodynamics at Different Scales; A Thermodynamic Model of the Action-Perception Cycle in Brain Dynamics
Dynamic Field Theory as the Interface Between Neuronal Dynamcis and Embodied CognitionThe Task of Cognitive Neuroscience; Functional Roles of Feedback Signals from Higher-Order Areas to Lower-Order Areas in the Visual Cortical Pathways; Dynamics of Population Decoding with Strong Inhibition; Global Oscillations of CA3 Neural Fields; Behaviour Signatures of Continuous Attractors; Statistical Outliers in Neuron Population and Myelinated Fiber Development in Human Neocortex; Studies on Synchronization Using KIV Model; Synchronous Firing and Its Control in Neuronal Population with Time Delay
Sequence Memory with Dynamic Synapses and Chaotic Neurons
"This conference was supported by the National Natural Science Foundation of China (Grant No. 10710301053)."
Includes bibliographical references and index.
Fifty years ago, enthused by successes in creating digital computers and the DNA model of heredity, scientists were con?dent that solutions to the problems of und- standing biological intelligence and creating machine intelligence were within their grasp. Progress at ?rst seemed rapid. Giant ‘brains’ that ?lled air-conditioned rooms were shrunk into briefcases. The speed of computation doubled every two years. What these advances revealed is not the solutions but the dif?culties of the pr- lems. We are like the geographers who ‘discovered’ America, not as a collection of islands but as continents seen only at shores and demanding exploration. We are astounded less by the magnitude of our discoveries about how brains cogitate than by the enormity of the tasks we have undertaken, to explain and replicate the higher functions of brains. Five decades of brain research have led to the emergence of a new ?eld, which spans the entire range of brain cognition from quantum ?elds to social interactions, and which is combined by the conceptions of nonlinear neurodynamics operating simultaneously at and across all levels. A new breed of scientists has emerged, schooled in multiple academic disciplines, comfortable in working with data from different levels, and conversant with the mathematical tools that are essential to cross boundaries.
Neurosciences.
Statistical physics.
Dynamical systems.
Cognitive psychology.
Biomathematics.
Artificial intelligence.
Neurosciences.
Complex Systems.
Cognitive Psychology.
Physiological, Cellular and Medical Topics.
Artificial Intelligence.
Statistical Physics and Dynamical Systems.