International Conference on Cognitive Neuroscience

1. Microscopic CN 1.1 Molecular 1.1.1 DNA, genetic knock-out models 1.1.2 Nonsynaptic diffusion neurotransmission 1.1.3 Synaptic molecular mechanisms 1.1.4 Quantum mechanics, microtubules, synaptic vesicles 1.2 Synaptic 1.2.1 Synaptic dynamics, short term: facilitation, depression 1.2.2 Synaptic dynamics, long term: LTP LTD 1.3 Cellular 1.3.1 Feature detector cells, unit correlates 1.3.2 Cardinal cells, synfire chains, binding 1.3.3 Dynamic neural coding, rate, interval 1.4 Realistic Neural Network dynamics 1.4.1 Synchronization, entrainment 1.4.2 Spiking neural nets 1.4.3 Oscillations 2. Mesoscopic CN; Transitions between Levels 2.1 Population dynamics 2.1.1 Linear systems analysis 2.1.2 Dynamical and use-dependent nonlinearities 2.1.3 Static and amplitude-dependent nonlinearities 2.2 Chaotic dynamics 2.2.1 Deterministic, low-dimensional 2.2.2 Stochastic, infinite-dimensional 2.2.3 Nonconvergent attractor landscapes/networks 2.2.4 Chaotic Trajectories, Itinerancy 2.3 Phase transitions in excitable media 2.3.1 Conditional stability of neural systems 2.3.2 Metastability of coordinated dynamics 2.3.3 Stochastic resonance in sensory information processing 2.4 Complexity theory applied to brain 2.5 Synergetics, metastability 2.6 Quantum Field Theory 2.6.1 Correlation length 2.6.2 Spontaneous symmetry breaking, phase transition 2.6.3 Dissipative systems, multiple ground states 2.7 Neuropercolation 2.8 Self-assembly, artificial life 3. Macroscopic CN 3.1 Brain imaging 3.1.1 fMRI, PET, SPECT, BOLD, Diffusion Tensor 3.1.2 Magnetoencephalography MEG 3.1.3 Electroencephalography EEG 3.1.4 Event-Related Potentials ERP 3.1.5 Topographic Mapping 3.1.6 Divergent/convergent spatiotemporal integral transforms 3.1.7 Multidimensional scaling and pattern classification 3.1.8 Brain connectivity, quantitative neuroanatomy 3.1.9 Relation between neural activity and brain imaging 3.2 Sensory Dynamics 3.2.1 Computational vision 3.2.2 Computational audition 3.2.3 Olfaction and taste coding 3.2.4 Somato-sensation 3.2.5 Vestibular function and proprioception 3.3 Motor system dynamics 3.3.1 Motor and premotor cortical dynamics 3.3.2 Basal ganglia, thalamus 3.3.3 Brain stem neuromodulators 3.3.4 Cerebellar sensorimotor control 3.3.5 Locomotion, vestibular regulation 3.3.6 Oculomotor function 3.3.7 Coordination Dynamics 3.3.8 Perception-Action 3.3.9 Internal models (both forward and inverse with learning) 3.4 Navigation 3.4.1 Hippocampal cognitive mapping 3.4.2 Place cells, sequential learning 3.4.3 Orientation by landmarks vs. contiguous sites 3.5 Action planning and control 3.5.1 Attention, expectancy 3.5.2 Reafference and preafference 3.5.3 Hierarchical goal construction 3.5.4 Neural prediction and hypothesis testing 3.6 Learning and memory 3.6.1 General learning rules 3.6.2 Spike-timing dependent (STDP) learning rules 3.6.3 Reinforcement learning rules (TD and ACE-style) 3.6.4 Back-propagation-style learning rules (BEP) 3.6.5 Memory storage 3.6.6 Memory retrieval 3.6.7 Working memory 3.7 Global cognitive functions 3.7.1 Object recognition 3.7.2 Attention 3.7.3 Intention 3.7.4 Language, neurolinguistics, semiotics 3.7.5 Decision Making 3.7.6 Reasoning and planning 3.7.7 Emotion 3.7.8 Consciousness 3.7.9 Gestalt Phenomena 3.7.10 Altered states, hallucination 4. Applications 4.1 Neural Engineering 4.1.1 Reverse engineering of biological systems 4.1.2 Self-organizing neurodynamics 4.1.3 Self-organized criticality (SOC), highly optimized tolerance (HOT) 4.1.4 Scale-free neocortical dynamics 4.1.5 Brain-Machine Interfaces 4.1.6 Sensory substitution 4.2 Neurocomputer 4.3 Neural computing 4.3.1 Feedforward: MLP, RBF, supervised learning 4.3.2 Feedback: autoassociator, SOFM, backpropagation, ART 4.3.3 Boltzmann machines, simulated annealing 4.3.4 Statistical neural fields 4.3.5 Cellular neural networks, cellular automata, deterministic & random 4.3.6 Chaotic neural networks 4.4 Advanced robotics 4.4.1 Interactive group robotics 4.4.2 Intelligent robotics 4.4.3 Intentional robotics 4.4.4 Autonomic regulation and systems control 4.5 Behavior modification 4.5.1 Bonding, affiliation 4.5.2 Transference 4.5.3 Brainwashing 4.5.4 Conversion, political, religious 4.5.5 Epiphany, insight, creative transformation 4.5.6 Dynamic diseases in nervous systems