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Sensory noise predicts divisive reshaping of receptive fields

Fig 5

Input-targeted inhibition allows for discrimination of similar stimulus features.

(a) Three different stimulus features (e.g. odors) encoded by different neurons in the network. The plots show the overlapping pattern of receptor activation elicited by each feature. (b) Three different combinations of features presented to the network. (c) Neural responses to each feature combination, obtained from the input-targeted divisive inhibition model. The response of each neuron is highly specific to its encoded feature, even with multiple overlapping features presented simultaneously. (d) As for panel c, but with an LN model, trained to match the responses of the divisive input model, to a range of different presented feature combinations. In contrast to before, neurons respond non-specifically when similar featue are presented together.

Fig 5