While oscillations of the local field potential (LFP) are commonly attributed to synchronization neuronal firing rate on same time scale, their relationship coincident spiking in millisecond range is unknown. Here, we present experimental evidence reconcile notions synchrony at level and mesoscopic scale. We demonstrate that only intervals significant spike cannot be explained basis rates, spikes better phase locked LFP than predicted by locking individual spikes. This effect enhanced...

The striatum is the key site for cortical input to basal ganglia. Cortical striatal microcircuits has been previously studied only in context of one or two types neurons. Here, we provide first description four putative neurons (medium spiny, fast spiking, tonically active, and low-threshold spiking) a single data set by separating extracellular recordings sorted spikes recorded under halothane anesthesia using waveform burst parameters. Under halothane, electrocorticograms local field...

Abstract We publish two electrophysiological datasets recorded in motor cortex of macaque monkeys during an instructed delayed reach-to-grasp task, using chronically implanted 10-by-10 Utah electrode arrays. provide a) raw neural signals (sampled at 30 kHz), b) time stamps and spike waveforms offline sorted single multi units (93/49 156/19 SUA/MUA for the monkeys, respectively), c) trial events monkey’s behavior, d) extensive metadata hierarchically structured via odML framework (including...

For networks of pulse-coupled oscillators with complex connectivity, we demonstrate that in the presence coupling heterogeneity precisely timed periodic firing patterns replace state global synchrony exists homogenous only. With increasing disorder, these persist until a critical temporal extent is reached order interaction delay. stronger disorder cease to exist and only asynchronous, aperiodic states are observed. We derive self-consistency equations predict precise structure pattern from...

Extracellular spiking activity and local field potentials (LFP) were recorded via tetrodes at the output of antennal lobe (AL) in honeybee brain during olfactory conditioning. Odors induce reliable rate responses that consist either phasic-tonic responses, or complex with odor-specific profiles. In addition, odors evoke consistent LFP oscillations 50-Hz band phasic ON-response to odor stimulation, variable other frequency bands sustained response. A principal component analysis ensemble...

We recently proposed frequent itemset mining (FIM) as a method to perform an optimized search for patterns of synchronous spikes (item sets) in massively parallel spike trains. This outputs the occurrence count (support) individual that are not trivially explained by counts any superset (closed item sets). The number found FIM makes direct statistical tests infeasible due severe multiple testing. To overcome this issue, we test significance patterns, but instead their signatures, defined...

The computational role of spike time synchronization at millisecond precision among neurons in the cerebral cortex is hotly debated. Studies performed on data limited size provided experimental evidence that low-order correlations occur relation to behavior. Advances electrophysiological technology record from hundreds simultaneously provide opportunity observe coordinated spiking activity larger populations cells. We recently published a method combines mining and statistical evaluation...

Abstract Beta oscillations observed in motor cortical local field potentials (LFPs) recorded on separate electrodes of a multi-electrode array have been shown to exhibit non-zero phase shifts that organize into planar waves. Here, we generalize this concept additional classes salient patterns fully describe the spatial organization beta oscillations. During delayed reach-to-grasp task distinguish planar, synchronized, random, circular, and radial monkey primary dorsal premotor cortices. We...

With the ability to observe activity from large numbers of neurons simultaneously using modern recording technologies, chance identify sub-networks involved in coordinated processing increases. Sequences synchronous spike events (SSEs) constitute one type such spiking that propagates a temporally precise manner. The synfire chain was proposed as potential model for network processing. Previous work introduced method visualization SSEs massively parallel trains, based on an intersection...

To date, non-reproducibility of neurophysiological research is a matter intense discussion in the scientific community. A crucial component to enhance reproducibility comprehensively collect and store metadata, that is, all information about experiment, data, applied preprocessing steps on such they can be accessed shared consistent simple manner. However, complexity experiments, highly specialized analysis workflows lack knowledge how make use supporting software tools often overburden...

An important prerequisite for the analysis of spike synchrony in extracellular recordings is extraction single-unit activity from multi-unit signal. To identify single units, potential spikes are separated with respect to their neuronal origins ('spike sorting'). However, different sorting algorithms yield inconsistent unit assignments, which seriously influences subsequent train analyses. We aim best algorithm subthalamic nucleus patients Parkinson's disease (experimental data ED)....

Abstract Science is changing: the volume and complexity of data are increasing, number studies growing goal achieving reproducible results requires new solutions for scientific management. In field neuroscience, German National Research Data Infrastructure (NFDI-Neuro) initiative aims to develop sustainable research management (RDM). To obtain an understanding present RDM situation in neuroscience community, NFDI-Neuro conducted a comprehensive survey among community. Here, we report analyze...

Flexible communication within the brain, which relies on oscillatory activity, is not confined to adult neuronal networks. Experimental evidence has documented presence of discontinuous patterns activity already during early development. Their highly variable spatial and time-frequency organization been related region specificity. However, it might be equally due absence unitary criteria for classifying patterns, since they have mainly characterized by visual inspection. Therefore, robust...

Computational neuroscience relies on simulations of neural network models to bridge the gap between theory networks and experimentally observed activity dynamics in brain. The rigorous validation simulation results against reference data is thus an indispensable part any workflow. Moreover, availability different environments levels model description require also implementations each other evaluate their equivalence. Despite rapid advances formalized models, data, analysis workflows, there...

Assessing the similarity of matrices is valuable for analyzing extent to which data sets exhibit common features in tasks such as clustering, dimensionality reduction, pattern recognition, group comparison, and graph analysis. Methods proposed comparing vectors, cosine similarity, can be readily generalized matrices. However, this approach usually neglects inherent two-dimensional structure Here we propose (SAS), a measure evaluating structural between two arbitrary, real same shape based on...

Abstract Describing the analysis of data from electrophysiology experiments investigating function neural systems is challenging. On one hand, can be analyzed by distinct methods with similar purposes, such as different algorithms to estimate spectral power content a measured time series. other software codes implement same algorithm, while adopting names identify functions and parameters. These ambiguities complicate reporting results, e.g., in manuscript or on scientific platform. Here, we...

An essential aspect of scientific reproducibility is a coherent and complete acquisition metadata along with the actual data an experiment. The high degree complexity heterogeneity neuroscience experiments requires rigorous management associated metadata. odML framework represents solution to organize store complex digitally in hierarchical format that both human machine readable. However, this representation difficult handle when entries need be collected edited manually during daily...

The reproduction and replication of scientific results is an indispensable aspect good practice, enabling previous studies to be built upon increasing our level confidence in them. However, reproducibility replicability are not sufficient: incorrect result will accurately reproduced if the same methods used. For field simulations complex neural networks, causes vary from insufficient model implementations data analysis methods, deficiencies workmanship (e.g., simulation planning, setup,...

The hypothesis that cortical networks employ the coordinated activity of groups neurons, termed assemblies, to process information is debated. Results from multiple single-unit recordings are not conclusive because dramatic undersampling system. However, local field potential (LFP) a mesoscopic signal reflecting synchronized network activity. This raises question whether LFP can be employed overcome problem undersampling. In recent study in motor cortex awake behaving monkey based on locking...

Abstract The development of novel techniques to record wide-field brain activity enables estimation data-driven models from thousands recording channels and hence across large regions cortex. These in turn improve our understanding the modulation states richness traveling waves dynamics. Here, we infer high-resolution in-vivo recordings mouse obtained calcium imaging. We then assimilate experimental simulated data through characterization spatio-temporal features cortical recordings....