1 code implementation • NeurIPS 2021 • Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath
We test SBTT applied to sequential autoencoders and demonstrate more efficient and higher-fidelity characterization of neural population dynamics in electrophysiological and calcium imaging data.
no code implementations • 6 Aug 2018 • Andrea Giovannucci, Victor Minden, Cengiz Pehlevan, Dmitri B. Chklovskii
Big data problems frequently require processing datasets in a streaming fashion, either because all data are available at once but collectively are larger than available memory or because the data intrinsically arrive one data point at a time and must be processed online.
no code implementations • NeurIPS 2017 • Andrea Giovannucci, Johannes Friedrich, Matt Kaufman, Anne Churchland, Dmitri Chklovskii, Liam Paninski, Eftychios A. Pnevmatikakis
Optical imaging methods using calcium indicators are critical for monitoring the activity of large neuronal populations in vivo.
no code implementations • 15 Jan 2014 • Talal Rahwan, Sarvapali Dyanand Ramchurn, Nicholas Robert Jennings, Andrea Giovannucci
The algorithm is anytime, and if interrupted before it would have normally terminated, it can still provide a solution that is guaranteed to be within a bound from the optimal one.