Search results for "Concurrent activity"

showing 2 items of 2 documents

A Measure of Concurrent Neural Firing Activity Based on Mutual Information

2021

Multiple methods have been developed in an attempt to quantify stimulus-induced neural coordination and to understand internal coordination of neuronal responses by examining the synchronization phenomena in neural discharge patterns. In this work we propose a novel approach to estimate the degree of concomitant firing between two neural units, based on a modified form of mutual information (MI) applied to a two-state representation of the firing activity. The binary profile of each single unit unfolds its discharge activity in time by decomposition into the state of neural quiescence/low activity and state of moderate firing/bursting. Then, the MI computed between the two binary streams is…

Computer scienceModels NeurologicalAction PotentialsBinary numberRetinal ganglionMeasure (mathematics)050105 experimental psychologySynchronizationSurrogate data03 medical and health sciencesBursting0302 clinical medicineComputer Simulation0501 psychology and cognitive sciencesRepresentation (mathematics)Neuronsbusiness.industryGeneral Neuroscience05 social sciencesFiring patternsPattern recognitionMutual informationCorrelationConcurrent activityMutual informationArtificial intelligencebusinessNeural synchrony030217 neurology & neurosurgerySoftwareInformation Systems
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Information – theoretic characterization of concurrent activity of neural spike trains

2021

The analysis of massively parallel spike train recordings facilitates investigation of communications and synchronization in neural networks. In this work we develop and evaluate a measure of concurrent neural activity, which is based on intrinsic firing properties of the recorded neural units. An overall single neuron activity is unfolded in time and decomposed into working and non-firing state, providing a coarse, binary representation of the neurons functional state. We propose a modified measure of mutual information to reflect the degree of simultaneous activation and concurrency in neural firing patterns. The measure is shown to be sensitive to both correlations and anti-correlations,…

Signal processingQuantitative Biology::Neurons and CognitionArtificial neural networkComputer sciencebusiness.industrySpike trainFiring patterns020206 networking & telecommunicationsPattern recognition02 engineering and technologyMeasure (mathematics)Concurrent activityMutual informationNeural activitymedicine.anatomical_structure0202 electrical engineering electronic engineering information engineeringmedicineSpike trains020201 artificial intelligence & image processingSpike (software development)NeuronArtificial intelligencebusinessNeural synchrony2020 28th European Signal Processing Conference (EUSIPCO)
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