Preparing for the unpredictable: adaptive feedback enhances the response to unexpected communication signals.
نویسندگان
چکیده
To interact with the environment efficiently, the nervous system must generate expectations about redundant sensory signals and detect unexpected ones. Neural circuits can, for example, compare a prediction of the sensory signal that was generated by the nervous system with the incoming sensory input, to generate a response selective to novel stimuli. In the first-order electrosensory neurons of a gymnotiform electric fish, a negative image of low-frequency redundant communication signals is subtracted from the neural response via feedback, allowing unpredictable signals to be extracted. Here we show that the cancelling feedback not only suppresses the predictable signal but also actively enhances the response to the unpredictable communication signal. A transient mismatch between the predictive feedback and incoming sensory input causes both to be positive: the soma is suddenly depolarized by the unpredictable input, whereas the neuron's apical dendrites remain depolarized by the lagging cancelling feedback. The apical dendrites allow the backpropagation of somatic spikes. We show that backpropagation is enhanced when the dendrites are depolarized, causing the unpredictable excitatory input to evoke spike bursts. As a consequence, the feedback driven by a predictable low-frequency signal not only suppresses the response to a redundant stimulus but also induces a bursting response triggered by unpredictable communication signals.
منابع مشابه
Preparing for the Unpredictable : Adaptive Feedback enhances
48 To interact with the environment efficiently, the nervous system must generate 49 expectations about redundant sensory signals and detect unexpected ones. Neural circuits 50 can, for example, compare a prediction of the sensory signal that was generated by the 51 nervous system with the incoming sensory input, in order to generate a response selective 52 to novel stimuli. In the first order ...
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ورودعنوان ژورنال:
- Journal of neurophysiology
دوره 107 4 شماره
صفحات -
تاریخ انتشار 2012