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Why neurons mix: high dimensionality for higher cognition
2016
Current Opinion in Neurobiology
Neurons often respond to diverse combinations of taskrelevant variables. This form of mixed selectivity plays an important computational role which is related to the dimensionality of the neural representations: high-dimensional representations with mixed selectivity allow a simple linear readout to generate a huge number of different potential responses. In contrast, neural representations based on highly specialized neurons are low dimensional and they preclude a linear readout from
doi:10.1016/j.conb.2016.01.010
pmid:26851755
fatcat:dk6cq44lgreyfhoeljplm7k5bq