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Niediek, J.

Publications and source records attributed to Niediek, J..

3 recordsLinked to original sources

How coupled slow oscillations, spindles and ripples control neuronal processing and communication during human sleep

Learning and plasticity rely on fine-tuned regulation of neuronal circuits during offline periods. An unresolved puzzle is how the sleeping brain - in the absence of external stimulation or conscious effort - controls neuronal firing rates (FRs) and communication within and across circuits, supporting synaptic and systems consolidation. Using intracranial Electroencephalography (iEEG) combined with multiunit activity (MUA) recordings from the human hippocampus and surrounding medial temporal lobe (MTL) areas, we here show that governed by slow oscillation (SO) up-states, sleep spindles set a timeframe for ripples to occur. This sequential coupling leads to a stepwise increase in (i) neuronal FRs, (ii) short-latency cross-correlations among local neuronal assemblies and (iii) cross-regional MTL interactions. Triggered by SOs and spindles, ripples thus establish optimal conditions for spike-timing dependent plasticity and systems consolidation. These results unveil how the coordinated coupling of specific sleep rhythms orchestrates neuronal processing and communication during human sleep.

neuroscience↗

Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks

A prominent theory proposes that the temporal order of a sequence of items held in memory is reflected in ordered firing of neurons at different phases of theta oscillations 1. We probe this theory by directly measuring single neuron activity (1420 neurons) and local field potentials (LFP, 921 channels) in the medial temporal lobe of 16 epilepsy patients performing a working memory task for temporal order. We observe theta oscillations and preferential firing of single neurons at theta phase during memory maintenance. We find that - depending on memory performance - phase of firing is related to item position within a sequence. However, in contrast to the theory, phase order did not match item order. To investigate underlying mechanisms, we subsequently trained recurrent neural networks (RNNs) to perform an analogous task. Similar to recorded neural activity, we show that RNNs generate theta oscillations during memory maintenance. Importantly, model neurons exhibit theta phase-dependent firing related to item position, where phase of firing again did not match item order. Instead, we observed a mechanistic link between phase order, stimulus timing and oscillation frequency - a relationship we subsequently confirmed in our neural recordings. Taken together, in both biological and artificial neural networks we provide validating evidence for the role of phase-of-firing in memory processing while at the same time challenging a long-held theory about the functional role of spiking and oscillations in sequence memory.

neuroscience↗

The RIFF: an automated environment for studying the neural basis of auditory-guided complex behavior

Behavior consists of the interaction between an organism and its environment, and is controlled by the brain. Brain activity varies at sub-second time scales, but behavioral measures are usually coarse (often consisting of only binary trial outcomes). To overcome this mismatch, we developed the RIFF: a programmable interactive arena for freely-moving rats with multiple feeding areas, multiple sound sources, high-resolution behavioral tracking, and simultaneous electrophysiological recordings. We describe two complex tasks implemented in the RIFF. Rats quickly learned these tasks and developed anticipatory behavior. Neurons in auditory cortex and posterior insula showed sensitivity to non-auditory parameters such as location and pose. Our combination of wireless electrophysiology and detailed behavioral documentation in a controlled environment produces insights into the cognitive capabilities and learning mechanisms of rats and opens the way to a better understanding of how brains control behavior.

neuroscience↗