1 code implementation • 5 Jun 2020 • Xue-Xin Wei, Ding Zhou, Andres Grosmark, Zaki Ajabi, Fraser Sparks, Pengcheng Zhou, Mark Brandon, Attila Losonczy, Liam Paninski
However, statistical modeling of deconvolved calcium signals (i. e., the estimated activity extracted by a pre-processing pipeline) is just as critical for interpreting calcium measurements, and for incorporating these observations into downstream probabilistic encoding and decoding models.
no code implementations • 22 Nov 2019 • Eirini Troullinou, Grigorios Tsagkatakis, Spyridon Chavlis, Gergely Turi, Wen-Ke Li, Attila Losonczy, Panagiotis Tsakalides, Panayiota Poirazi
In this work we establish the first, automated cell-type classification method that relies on neuronal activity rather than molecular or cellular features.