Measuring the Performance of Neural Models

Good metrics of the performance of a statistical or computational model are essential for model comparison and selection. Here, we address the design of performance metrics for models that aim to predict neural responses to sensory inputs. This is particularly difficult because the responses of sens...

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Bibliografiska uppgifter
Huvudupphovsmän: Oliver eSchoppe, Nicol S Harper, Ben DB Willmore, Andrew J King, Jan WH Schnupp
Materialtyp: Artigo
Språk:Inglês
Publicerad: Frontiers Media S.A. 2016-02-01
Serie:Frontiers in Computational Neuroscience
Ämnen:
Neural coding
Model selection
Statistical Modeling
receptive field
sensory neuron
Signal power
Länkar:http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00010/full
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