Home   ·   Research   ·   Platforms   ·   Centre for Cognitive Neuroscience

Introduction

Established in 2018, Centre for Cognitive Neuroscience(CNC) is an integrative research platform that investigates the biological basis of cognition from micro-scale individual neurons to systems-level neural circuits. Combining multi-disciplinary research from cognitive, comparative, computational and clinical neurosciences with state-of-the-art neuroimaging, electrophysiological recording and behavioral testing methods, CNC aims to characterize the neural mechanisms underlying perception, attention, motivation, decision-making, learning and memory, emotions and consciousness. By modeling computational neural networks through multi-modal brain data, our ultimate goal is to simulate human cognitive processes and to establish the neurodynamic characteristics of major neurological and psychiatric disorders. Based on these aims and objectives, CNC is dedicated to making significant contributions in translational cognitive neuroscience from fundamental principles of brain to clinical treatment of disorders.

Research Directions

Direction I: Molecular mechanisms and neural circuits in cognitive functions

· Investigate the structural and functional mechanisms of synaptic maturation, plasticity and connectivity underlying specific cognitive processes

· Characterize the molecular signaling pathways and pharmacological intervention sites in certain neurological and mental health disorders

· Detect synaptic projections with dynamic neuroimaging to determine the inter-relationship between brain regions in physiological and pathological models

· Decode the activity patterns of neuronal clusters to explain the principles of cognitive processing

Direction II: Computational modeling for cognitive processing

· Develop biophysical models of neuronal interactions to study the multi-scale coupling processes in advanced cognitive functions

· Estimate parametric models of hyperscale neural networks to determine the real-time dynamic properties underlying certain cognitive activities

· Combine multimodal brain data and computational neural networks to simulate parts of cognitive processing

· Establish the relationships among the neurodynamic behavior characteristics in neurological and psychiatric disorders

Direction III:Cognitive neuroscience in neurological and psychiatric disorders

· Establish a large-scale database of disease cohort and biological sample for neurological and psychiatric disorders

· Screen early diagnostic markers from pathophysiological imaging forachieve accurate diagnosis of brain diseases

· Conduct biochemical and biophysical neuromodulation in neural circuits related to the cognitive function to provide new approaches for the treatment of disorders.