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Movement disorders such as Parkinson's disease (PD) and cervical dystonia (CD) are associated with abnormal neuronal activity in the globus pallidus internus (GPi). Reduced firing rate and presence of spiking bursts are typical for CD, whereas PD is characterized by high frequency tonic activity. This research aims to identify the most important pallidal spiking parameters to classify these conditions.

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Unlabelled: Exposure to loud and/or prolonged noise damages cochlear hair cells and triggers downstream changes in synaptic and electrical activity in multiple brain regions, resulting in hearing loss and altered speech comprehension. It remains unclear however whether or not noise exposure also compromises the cochlear efferent system, a feedback pathway in the brain that fine-tunes hearing sensitivity in the cochlea. We examined the effects of noise-induced hearing loss on the spontaneous action potential (AP) firing pattern in mouse lateral olivocochlear (LOC) neurons.

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Unlabelled: The locus coeruleus (LC) is the primary source of noradrenaline (NA) in brain and its activity is essential for learning, memory, stress, arousal, and mood. LC-NA neuron activity varies over the sleep-wake cycle, with higher activity during wakefulness, correlating with increased CSF NA levels. Whether spontaneous and burst firing of LC-NA neurons during active and inactive periods is controlled by mechanisms independent of wakefulness and natural sleep, is currently unknown.

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Rhythmic motor behaviors are generated by neural networks termed central pattern generators (CPGs). Although locomotor CPGs have been extensively characterized, it remains unknown how the neuronal populations composing them interact to generate adaptive rhythms. We explored the non-linear cooperation dynamics among the three main populations of ipsilaterally projecting spinal CPG neurons - V1, V2a, V2b neurons - in scratch reflex rhythmogenesis.

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Unlabelled: Calcium imaging is a key method to record the spiking activity of identified and genetically targeted neurons. However, the observed calcium signals are only an indirect readout of the underlying electrophysiological events (single spikes or bursts of spikes) and require dedicated algorithms to recover the spike rate. These algorithms for spike inference can be optimized using ground truth data from combined electrical and optical recordings, but it is not clear how such optimized algorithms perform on cell types and brain regions for which ground truth does not exist.

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