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Intelligence Science Research

    Intelligence Science is a cross discipline which dedicates to joint research on basic theory and technology of intelligent behavior by Brain Science, Cognitive Science, Artificial Intelligence and others. Brain Science explores the essence of brain, research on the principle and model of natural intelligence in molecular, cell and behavior level. Cognitive Science studies human mental activity, such as perception, learning, memory, thinking, consciousness etc. In order to implement machine intelligence, Artificial Intelligence attempts simulation, extension and expansion of human intelligence using artificial methodology and technology. Above three disciplines work together to explore new concept, new theory, new methodology. It will be successful and create a brilliant future in 21 century.
   The purpose of establishing the forum is providing a space to exchange ideas and information.

Research Topics

1. Basic process of neural activity
2. Perception process and representation of brain
3. Synaptic plasticity and information processing of memory procedure
4. Information processing of learning
5. Cognitive mechanism of language
6. Cognitive mechanism of thought
7. Development of intelligence
8. Brain imaging databases
9. Emotion system
10. Immune system
11. Consciousness
12. Artificial brain

1. Basic process of neural activity

  • Neuron signal generation and transmission.
  • Neurotransmitters.
  • Waves of neural activity.
  • Synchronous neural activity.
  • Molecular neural science

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    2. Perception process and representation of brain     

  • Computational model of perception.
  • Representation of early vision.
  • Essence of selective attention.
  • Brain imaging.

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    3. Synaptic plasticity and information processing of memory procedure

          A brain has distributed memory system, that is, each part of brain has several types of memories that work in somewhat different ways, to suit particular purposes. According to the stored time of contents memory can be divided into long term memory, short term memory and working memory. Research topics in memory exist coding, extract and retrieval of information. Current working memory attracts more researchers to involve.

  • Synaptic plasticity.
  • Perception memory.
  • Episodic and semantic memory.
  • Working memory.
  • Chunk theory.

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    4. Information processing of learning

          Learning is the basic cognitive activity and accumulation procedure of experience and knowledge. Through learning the system performance will be improved. Perceptual learning, cognitive learning, implicit learning are active research topics in the learning area.

  • Perceptual learning.
  • Cognitive learning.
  • Implicit learning.
  • Learning emergence.

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    5. Cognitive mechanism of language

          Language is fundamentally a means for social communication. Through language we organize our sensory experience and express our thoughts, feelings, and expectations. Language is particular interesting from cognitive informatics point of view because its specific and localized organization can explore the functional architecture of the dominant hemisphere of the brain.

  • Cognitive mechanism of language.
  • Relationship between sound, figure, meaning for Chinese.
  • Language computational theory.

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    6. Cognitive mechanism of thought

           Thought is a reflection of essential attributes and internal laws of objective reality in conscious, indirect and generalization by human brain with consciousness. Cognitive process rises man's sense perceptions and impressions to logical knowledge. According to abstraction degree of cognitive process, human thought can be divided into three levels: perception thought, image thought and abstraction thought. A hierarchical model of thought which illustrates the characteristics and correlations of thought levels has been proposed by Zhongzhi Shi.

  • Computational model of thought.
  • Relationship between thought and perception.
  • Sympolic and subsympolic processing.
  • Reasoning procedure and logic.
  • Theory of multiple intelligence.

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    7. Development of intelligence

  • Jean Piaget's theory of development.
  • Vygotsky's theory.
  • Autonimic development of intelligence.

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    8. Brain imaging databases

       

  • Database structure for Chinese brain imaging.
  • Brain imaging technology.
  • Brain module and map.
  • Dynamic trace, presentation and storage for brain information processing.
  • Functional Magnetic Resonance imaging study.

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    9. Emotion system

       Research on emotion at varying levels of abstraction (e.g., agent architectures vs. single phenomena), using different computational methods (e.g., connectionist vs. symbolic), addressing different emotional phenomena (e.g., emotions as heuristics used in planning vs. psychopathology), and basing their models on different theories of affect (e.g., cognitive appraisal theory and primacy of cognition vs. tight coupling between cognition and affect with no process having a dominant status).

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    10. Immune system

       The natural immune system is a complex adaptive pattern-recognition system that defends the body from foreign pathogens. The immune system has evolved two mechanisms:

  • Innate (nonspecific) immunity and
  • Adaptive (specific) immunity.
    Two kinds of responses:
  • Primary immune response: launch a response to invading pathogens.
  • Secondary immune response: Remember past encounters and Faster response the second time around

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    11. Consciousness

      

  • What is consciousness?

  • Neural correlate of consciousness.
  • Consciousness model.
  • Active mode and receptive mode of consciousness.
  • Imaging position of Consciousness.

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    12. Artificial brain

        

  • Artificial neural network based approach.
  • Intelligent agent based approach.
  • Digital and analogy mixtural approach.
  • Biological device based approach.

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