ICCN 2027: International Conference on Cognitive Neuroscience

ICCN 2027: International Conference on Cognitive Neuroscience explores the neural mechanisms underlying cognition, perception, attention, memory, and decision-making, integrating electrophysiological, imaging, and computational approaches to understand brain function

Key Topics

• Predictive coding in perception and cognition
• Neural mechanisms of feature integration in object perception
• Attention, awareness and control
• The role of neuronal oscillations in computation and communication in multi-scale brain networks
• Expectation and attention in visual cognition: neural and computational approaches
• Auditory processing
• Preludes to failure: electrophysiological and hemodynamic antecedents of human error
• From single neuron responses to neuronal population oscillations during vision and memory: new insights from human intracranial recordings
• Entraining the brain? Effects of rhythmic brain stimulation protocols on oscillatory brain activity and behavior
• Monitoring our memories: Neural mechanisms and age-related changes
• Human genetics of cognition
• Complex networks, dynamics and neural information processing in the brain
• Probing Cortical Oscillations with Transcranial Stimulation
• Functional significance of human prefrontal theta oscillations during cognitive control and learning
• Maturation of brain structure and language development
• Serotonin, motivation and action in learning and decision-making
• The cognitive role of cross-frequency coupling
• Current trends in working memory research: Evidence from functional neuroimaging
• EEG/fMRI integration and the connectivity in the brain
• The relationship between attention and working memory
• Successful aging: a neurocognitive perspective
• How alpha oscillations shape the functional network of the working brain
• Adaptive, goal-directed behavior: prefrontal cortex and beyond
• Regulating access to consciousness: Cortical mechanisms of attention
• Consciousness and Awareness
• Cognitive Aging
• Modeling and Analysis of Brain Signals
• Human Intra-cranial Electrophysiology
• Multimodal Integration of EEG, MEG and fMRI data
• Motor Information Processing
• Neuropsychiatric Applications
• Neural Bases of Arithmetics and Numerosity
• Emotion, Motivation and the Social Brain
• Quantitative Analysis of EEG, MEG & Brain Oscillations
• Neural Bases of Memory and Learning
• Neural Bases of Language
• Neurophysiology of Cognition and Attention
• Performance Monitoring and Cognitive Control
• Decision Making, Reward Processing & Response Selection
• Neurophysiology of Sensation and Perception