I am looking for good papers on the possibility that dendritic trees may compute derivatives of functions but haven’t found anything so far. Such computations may be very useful for both learning and closed-loop control. Are there papers I have overlooked?
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Can each synapse know for every spike how much it contributed to making it happen.
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