The research activities in CEBSIT are grouped into five areas: 1) Neural Circuit Basis of Cognitive Functions; 2) Pathogenesis, Early Diagnosis and Intervention of Brain Disorders; 3) New Technologies for Brain Research; 4) Brain-Inspired Computational Models and Information Processing; 5) Brain-Inspired Computing Components and Systems.

Area I: Neural Circuit Basis of Cognitive Functions
In this area, we aim at macroscopic (brain area level) and mesoscopic (cellular and circuitry level) illustration of cognitive functions including sensory perception, learning/memory, attention, decision-making, consciousness, and language, by emphasizing on cognition-related local and long-range neural circuits, dynamics of neuronal activity and mechanism of information processing, and structural and functional plasticity of neural circuits.

Area II: Pathogenesis, Early Diagnosis and Intervention of Brain Disorders
In this area, we aim at the pathogenesis of developmental brain disorders (autism and mental retardation), middle and young people-associated psychiatric disorders (depression and addiction), and neurodegenerative diseases (Alzheimer’s disease and Parkinson’s disease), by emphasizing on revealing the genetic basis, signal transduction pathways, biomarkers and novel therapeutic targets, establishing simple and reliable diagnostic criteria (molecular markers, quantitative indices in brain imaging and cognitive assessments), and developing transgenic and colonial non-human primate models for drug development, and physiological and physical therapeutic interventions.

Area III: New Technologies for Brain Research
In this area, we aim at developing cross-discipline multiple-scale technologies, including the identification and labeling of neuronal subtypes, tracing of neuronal circuits, macroscopic imaging of brain networks, mesoscopic and microscopic deciphering of neural circuits and synapses, in vivo electrophysiological and electrochemical recording with high spatiotemporal resolution, neural activity- and gene editing-based neuromodulation, transgenic non-human primate models for cognitive functions and brain disorders, new generation devices for brain research, and new informatics tools and theories for big data.

Area IVBrain-inspired Computation Model and Information Processing
The area focus on the cognition computation model and new generation method of information processing based on the working mechanism of brain. including brain network analysis based on microscopic,mesoscopic and macroscopic level data, multi-scale neural network model with the plasticity in structure and function, multimodal perception and understanding of natural language .

Area V: Brain-inspired Computing Component and System
The area focus on neural computing components and systems inspired from brain morphology and working mechanism. The research directions include the neural computing chips and architecture design, high performance low power cost neural modules based new materials, brain-inspired intelligent robot with self-adaptation, self-organization and self-learning ability together with its learning and growing environment.