Comput Math Methods Med - Concentration-invariant odor representation in the olfactory system by presynaptic inhibition.

Tópicos

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Resumo

The present study investigates a network model for implementing concentration-invariant representation for odors in the olfactory system. The network consists of olfactory receptor neurons, projection neurons, and inhibitory local neurons. Receptor neurons send excitatory inputs to projection neurons, which are modulated by the inhibitory inputs from local neurons. The modulation occurs at the presynaptic site from a receptor neuron to a projection one, leading to the operation of divisive normalization. The responses of local interneurons are determined by the total activities of olfactory receptor neurons. We find that with a proper parameter condition, the responses of projection neurons become effectively independent of the odor concentration. Simulation results confirm our theoretical analysis.

Resumo Limpo

present studi investig network model implement concentrationinvari represent odor olfactori system network consist olfactori receptor neuron project neuron inhibitori local neuron receptor neuron send excitatori input project neuron modul inhibitori input local neuron modul occur presynapt site receptor neuron project one lead oper divis normal respons local interneuron determin total activ olfactori receptor neuron find proper paramet condit respons project neuron becom effect independ odor concentr simul result confirm theoret analysi

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