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Publications of Statistical Neuroscience

Selected Publications of Statistical Neuroscience

PaperVR 20170525

[Re] Spike Synchronization and Rate Modulation Differentially Involved in Motor Cortical Function

Understanding how information is processed by networks of neurons in the brain is a major goal in neuroscience. There has been a long-standing debate in the community on the contribution of the firing activity of individual neurons or populations of neurons to information processing: one perspective is that the firing rate of the neurons, i.e. the number of spikes per time unit, represents information or is relevant for the processing. Another perspective is that neurons communicate through precisely timed coordination of spiking, a view that results from the insight that a neuron fires most efficiently if it receives synchronous spike input, i.e., in the range of a few milliseconds. Rostami V, Ito J, Denker M, Grün S. ReScience 3:1 (2017): [Re] Spike Synchronization and Rate Modulation Differentially Involved in Motor Cortical Function …

Paper PQ 20170524

Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE

Repeated, precise sequences of spikes are largely considered a signature of activation of cell assemblies. These repeated sequences are commonly known under the name of spatio-temporal patterns (STPs). STPs are hypothesized to play a role in the communication of information in the computational process operated by the cerebral cortex. Quaglio P, Yegenoglu A, Torre E, Endres DM, Grün S. Front. Comp. Neurosci. 11:41 (2017): Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE …

Paper JI 20170424

Switch from ambient to focal processing mode explains the dynamics of free viewing eye movements

Previous studies have reported that humans employ ambient and focal modes of visual exploration while they freely view natural scenes. These two modes have been characterized based on eye movement parameters such as saccade amplitude and fixation duration, but not by any visual features of the viewed scenes. Ito J, Yamane Y, Suzuki M, Maldonado P, Fujita I, H, Grün S. Scientific Reports 7,1082 (2017): Switch from ambient to focal processing mode explains the dynamics of free viewing eye movements …

Synchronous Spike Patterns in Macaque Motor Cortex during an Instructed-Delay Reach-to-Grasp Task

Synchronous Spike Patterns in Macaque Motor Cortex during an Instructed-Delay Reach-to-Grasp Task

The computational role of spike time synchronization at millisecond precision among neurons in the cerebral cortex is hotly debated. Studies performed on data of limited size provided experimental evidence that low-order correlations occur in relation to behavior. Torre E, Quaglio P, Denker M, Brochier T, Riehle A, Grün S. J Neurosci 36(32):8329-8340 (2016): Synchronous Spike Patterns in Macaque Motor Cortex during an Instructed-Delay Reach-to-Grasp Task …

Handling Metadata in a Neurophysiology Laboratory

Handling Metadata in a Neurophysiology Laboratory

To date, non-reproducibility of neurophysiological research is a matter of intense discussion in the scientific community. A crucial component to enhance reproducibility is to comprehensively collect and store metadata, that is, all information about the experiment, the data, and the applied preprocessing steps on the data, such that they can be accessed and shared in a consistent and simple manner. However, the complexity of experiments, the highly specialized analysis workflows and a lack of knowledge on how to make use of supporting software tools often overburden researchers to perform such a detailed documentation. For this reason, the collected metadata are often incomplete, incomprehensible for outsiders or ambiguous. Based on our research experience in dealing with diverse datasets, we here provide conceptual and technical guidance to overcome the challenges associated with the collection, organization, and storage of metadata in a neurophysiology laboratory. Through the concrete example of managing the metadata of a complex experiment that yields multi-channel recordings from monkeys performing a behavioral motor task, we practically demonstrate the implementation of these approaches and solutions with the intention that they may be generalized to other projects. Zehl L, Jaillet F, Stoewer A, Sobolev A, Wachtler T, Brochier T, Riehle A, Denker M, Grün S. Front. Neuroinf. 10:26 (2016): Handling Metadata in a Neurophysiology Laboratory …

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