Topic: low-frequency oscillations

Experimental evidence suggests that the brain is able to encode memories in the phase of ongoing low-frequency oscillations. Recently, trainable recurrent neural networks (RNNs) have emerged as promising models of how neural circuits process information. However, short-term memory maintenance in these networks has mostly been implemented through static attractors. Thus, it remains unclear if and how RNNs can encode memories in the relative phase of oscillations. Here we show that such phase-dependent coding can arise through the training of RNNs on memory tasks. We characterize how the emerg

Hippocampal pyramidal cells have been widely studied during locomotion, when theta oscillations are present, and during short wave ripples at rest, when replay takes place. However, we find a subset of pyramidal cells that are preferably active during rest, in the absence of theta oscillations and short wave ripples. We recorded these cells using two-photon imaging in dorsal CA1 of the hippocampus of mice, during a virtual reality object location recognition task. During locomotion, the cells show a similar level of activity as control cells, but their activity increases during rest, when this

Short-term plasticity (STP) dynamically regulates synaptic strength on the timescale of milliseconds to seconds, playing a critical role in moment-to-moment information processing within neural circuits. Deficits in STP have been implicated in neurological and psychiatric disorders, but its precise contribution to higher cognitive functions and behavioral flexibility remains poorly understood. Here, we address this gap by focusing on synaptotagmin-7 (SYT7), a calcium sensor essential for facilitation---a form of STP in which high-frequency stimulation briefly enhances neurotransmitter release.

Arousal states, such as sleep and wake, are highly correlated with specific rhythmic activity patterns in the neocortex. For example, during sleep, neocortical rhythms are synchronized and dominated by low-frequency oscillations. Recent evidence suggests that inhibitory neurons (INs) are key regulators of neocortical states.Here we investigate how neocortical long-range INs that co-express somatostatin (SST) and neuronal nitric oxide synthase (nNOS) (“SST/nNOS cells”), control patterns of synchronous neocortical activity and arousal states in mice. While the in-vivo function of SST/nNOS cells