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Interneuron‐mediated inhibition synchronizes neuronal activity during slow oscillation
•  A signature of deep sleep in the EEG is large‐amplitude fluctuation of field potential, which reflects alternating periods of activity and silence in the thalamocortical network. •  TransitionsExpand
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Network Models of Frequency Modulated Sweep Detection
Frequency modulated (FM) sweeps are common in species-specific vocalizations, including human speech. Auditory neurons selective for the direction and rate of frequency change in FM sweeps areExpand
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One-shot tagging during wake and cueing during sleep with spatiotemporal patterns of transcranial electrical stimulation can boost long-term metamemory of individual episodes in humans
Targeted memory reactivation (TMR) during slow-wave oscillations (SWOs) in non-rapid eye movement (NREM) sleep has been demonstrated with sensory cues to achieve about 5-12% improvement in post-napExpand
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Non-homogeneous extracellular resistivity affects the current-source density profiles of up–down state oscillations
Rhythmic local field potential (LFP) oscillations observed during deep sleep are the result of synchronized electrical activities of large neuronal ensembles, which consist of alternating periods ofExpand
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Dose-Dependent Effects of Closed-Loop tACS Delivered During Slow-Wave Oscillations on Memory Consolidation
TLDR
We investigated the effects of closed-loop transcranial Alternating Current Stimulation (tACS) targeting SWOs during sleep on memory consolidation. Expand
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A Spiking Network Model of Decision Making Employing Rewarded STDP
Reward-modulated spike timing dependent plasticity (STDP) combines unsupervised STDP with a reinforcement signal that modulates synaptic changes. It was proposed as a learning rule capable of solvingExpand
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Transcranial Current Stimulation During Sleep Facilitates Insight into Temporal Rules, but does not Consolidate Memories of Individual Sequential Experiences
Slow-wave sleep (SWS) is known to contribute to memory consolidation, likely through the reactivation of previously encoded waking experiences. Contemporary studies demonstrate that when auditory orExpand
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Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task
TLDR
Neural networks with a single plastic layer employing reward modulated spike time dependent plasticity (STDP) are capable of learning simple foraging tasks. Expand
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Correction: Network Models of Frequency Modulated Sweep Detection
The following information is missing from the Funding section: This study was supported by Office of Naval Research Multidisciplinary University Research Initiative Grant N000141310672. The fundersExpand
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An Exploration of the Role of Cellular Neuroplasticity in Large Scale Models of Biological Neural Networks
Cellular level learning is vital to almost all brain function, and extensive homeostatic plasticity is required to maintain brain functionality. While much has been learned about cellular levelExpand
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