New review by Maoz Shamir on the “Emerging principles of population coding: in search for the neural code”


A new review on population coding by Maoz Shamir is appearing in the April issue of Current Opinion in Neurobiology. Shamir discusses how correlated noise negatively impacts neural coding, when the noise overlaps with the signal, and how this effect can be overcome by introducing heterogeneity into the population model.  Importantly, he points out that current population coding models are heavily underconstraint, such that additional assumptions are needed for testing them. The review references much of our work on population coding over the past 5 years or so, which was nice to see. Overall, this very interesting special issue on theoretical and computational neuroscience assembled by Adrienne Fairhall and Haim Sompolinsky is highly recommended



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