Spike Count Analysis for MultiPlexing Inference (SCAMPI).

ABSTRACT: Understanding how neurons encode multiple simultaneous stimuli is a fundamental question in neuroscience. We have previously introduced a novel theory of stochastic encoding patterns wherein a neuron's spiking activity dynamically switches among its constituent single-stimulus activity patterns when presented with multiple stimuli (Groh et al., 2024). Here, we present an enhanced, comprehensive statistical testing framework for such "multiplexing" or "code juggling". Our new approach evaluates whether dual-stimulus responses can be accounted for as mixtures of Poissons either anchored to or bounded by single-stimulus benchmarks. Our enhanced framework improves upon previous methods in two key ways. First, it introduces a stronger set of foils for multiplexing, including an "o

SUBMITTER: Chen Y 

PROVIDER: S-EPMC11419138 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature