Bapun Giri

Abstract Memories benefit from sleep1, and the reactivation and replay of waking experiences during hippocampal sharp-wave ripples (SWRs) are considered to be crucial for this process2. However, little is known about how these patterns are impacted by sleep loss. Here we recorded CA1 neuronal activity over 12 h in rats across maze exploration, sleep and sleep deprivation, followed by recovery sleep.

Abstract Dimension reduction on neural activity paves a way for unsupervised neural decoding by dissociating the measurement of internal neural state repetition from the measurement of external variable tuning. With assumptions only on the smoothness of latent dynamics and of internal tuning curves, the Poisson Gaussian-process latent variable model (P-GPLVM) (Wu et al., 2017) is a powerful tool to discover the low-dimensional latent structure for high-dimensional spike trains.

Research Articles, Systems/Circuits Bapun Giri, Hiroyuki Miyawaki, Kenji Mizuseki, Sen Cheng and Kamran Diba Journal of Neuroscience 30 January 2019, 39 (5) 866-875; DOI: https://doi.org/10.1523/JNEUROSCI.1950-18.2018 Abstract New memories are believed to be consolidated over several hours of post-task sleep. The reactivation or “replay” of hippocampal cell assemblies has been proposed to provide a key mechanism for this process.