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Function of attention in learning process in the olfactory bulb

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Abstract

It has been suggested that in the olfactory bulb, odor information is processed through parallel channels and learning depends on the cognitive environment. The synapse’s spike effective time is defined as the effective time for a spike from pre-synapse to post-synapse, which varies with the type of synapse. A learning model of the olfactory bulb was constructed for synapses with varying spike effective times. The simulation results showed that such a model can realize the multi-channel processing of information in the bulb. Furthermore, the effect of the cognitive environment on the learning process was also studied. Different feedback frequencies were used to express different attention states. Considering the information’s multi-channel processing requirement for learning, a learning rule considering both spike timing and average spike frequency is proposed. Simulation results showed that habituation and anti-habituation of an odor in the olfactory bulb might be the result of learning guided by a common local learning rule but at different attention states.

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Authors and Affiliations

  1. Laboratory of Visual Information Processing, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China

    Baosheng Ma, Shunpeng Wang, Yan Li, Chunhua Feng & Aike Guo

  2. Institute of Neuroscience, Chinese Academy of Sciences, 200031, Shanghai, China

    Aike Guo

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  1. Baosheng Ma
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  2. Shunpeng Wang
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  3. Yan Li
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  4. Chunhua Feng
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  5. Aike Guo
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Correspondence to Aike Guo.

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Ma, B., Wang, S., Li, Y. et al. Function of attention in learning process in the olfactory bulb. Sci. China Ser. C.-Life Sci. 46, 358–369 (2003). https://doi.org/10.1007/BF03192579

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  • DOI: https://doi.org/10.1007/BF03192579

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