Neuroscience

  3. Continuous partitioning of neuronal variability

    1. Anuththara Rupasinghe
    2. Adam S Charles
    3. Jonathan W Pillow

    • Curated by eLife

      eLife Assessment

      This work of fundamental significance introduces a novel statistical model of spiking activity that incorporates continuous-time gain modulation. The authors provide exceptional evidence that the model outperforms earlier approaches and alternative candidates in capturing spiking responses across multiple visual areas in the macaque. Beyond its methodological contribution, the study offers new insights into how stimulus-driven variability and internally generated gain fluctuations evolve over time and between brain areas. The framework is likely to find broad application beyond the datasets examined here.

    Reviewed by eLife

    8 evaluationsAppears in 1 listLatest version Latest activity
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