35 citations · 78 across the 11 of their papers we have counts for
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q-bio.NC2021
Neuronal Learning Analysis using Cycle-Consistent Adversarial Networks
Bryan M. Li, Theoklitos Amvrosiadis, Nathalie Rochefort +1
Understanding how activity in neural circuits reshapes following task learning could reveal fundamental mechanisms of learning. Thanks to the recent advances in neural imaging tech…
q-bio.NC2021★ 35 cited
Building population models for large-scale neural recordings: opportunities and pitfalls
Cole Hurwitz, Nina Kudryashova, Arno Onken +1
Modern recording technologies now enable simultaneous recording from large numbers of neurons. This has driven the development of new statistical models for analyzing and interpret…