ArticleJournal of neurophysiology2015
SPIKY: a graphical user interface for monitoring spike train synchrony.
Article in Journal of neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Quantifying spike train synchrony and directionality: Measures and Applications.Biological cybernetics · 2026Review
- Timbre Encoding in the Inferior Colliculus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Neural population dynamics and temporal context cells in macaque medial parietal cortex support temporal order memory.PLoS biology · 2026Article
- Synchrony, oscillations, and phase relationships in collective neuronal activity: A highly comparative overview of methods.PLoS computational biology · 2025Article
- Enhancing Legged Robot Locomotion Through Smooth Transitions Using Spiking Central Pattern Generators.Biomimetics (Basel, Switzerland) · 2025Article
- Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO).Scientific data · 2025Article
- Motor cortex stimulation ameliorates parkinsonian locomotor deficits: effectual and mechanistic differences from subthalamic modulation.NPJ Parkinson's disease · 2025Article
- Highly efficient modeling and optimization of neural fiber responses to electrical stimulation.Nature communications · 2024Article
- Investigating Communication Dynamics in Neuronal Network using 3D Gold Microelectrode Arrays.ACS nano · 2024Article
- Recognition of sounds by ensembles of proteinoids.Materials today. Bio · 2024Article
- Topological data analysis of the firings of a network of stochastic spiking neurons.Frontiers in neural circuits · 2023Article
- Latency correction in sparse neuronal spike trains.Journal of neuroscience methods · 2022Article
- Deep brain stimulation rectifies the noisy cortex and irresponsive subthalamus to improve parkinsonian locomotor activities.NPJ Parkinson's disease · 2022Article
- Spontaneous and Perturbational Complexity in Cortical Cultures.Brain sciences · 2021Article
- A Measure of Concurrent Neural Firing Activity Based on Mutual Information.Neuroinformatics · 2021Article
- Cortical propagation tracks functional recovery after stroke.PLoS computational biology · 2021Article
- Temporal coding of echo spectral shape in the bat auditory cortex.PLoS biology · 2020Article
- Direct Activation of Primary Motor Cortex during Subthalamic But Not Pallidal Deep Brain Stimulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- An efficient analytical reduction of detailed nonlinear neuron models.Nature communications · 2020Article
- Glial cells influence cardiac permittivity as evidenced through in vitro and in silico models.Biofabrication · 2019Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Techniques for recording large-scale neuronal spiking activity are developing very fast. This leads to an increasing demand for algorithms capable of analyzing large amounts of experimental spike train data. One of the most crucial and demanding tasks is the identification of similarity patterns with a very high temporal resolution and across different spatial scales. To address this task, in recent years three time-resolved measures of spike train synchrony have been proposed, the ISI-distance, the SPIKE-distance, and event synchronization. The Matlab source codes for calculating and visualizing these measures have been made publicly available. However, due to the many different possible representations of the results the use of these codes is rather complicated and their application requires some basic knowledge of Matlab. Thus it became desirable to provide a more user-friendly and interactive interface. Here we address this need and present SPIKY, a graphical user interface that facilitates the application of time-resolved measures of spike train synchrony to both simulated and real data. SPIKY includes implementations of the ISI-distance, the SPIKE-distance, and the SPIKE-synchronization (an improved and simplified extension of event synchronization) that have been optimized with respect to computation speed and memory demand. It also comprises a spike train generator and an event detector that makes it capable of analyzing continuous data. Finally, the SPIKY package includes additional complementary programs aimed at the analysis of large numbers of datasets and the estimation of significance levels.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.