Temporal Dynamics Analysis

Temporal dynamics analysis is the study of how behavior changes, unfolds, and relates to other events across time. It treats observations as time-ordered data, using measures such as event timing, duration, frequency, sequences, and lagged relationships to identify patterns that may be missed in a single snapshot. In behavioral research, this approach can reveal transitions between actions, persistence or variability, and how behavior responds to environmental conditions or social interactions. These insights support more precise descriptions of learning, decision-making, communication, and other behavioral processes, while helping researchers distinguish short-term fluctuations from longer-term developmental or experimental effects.

Temporal Dynamics Analysis - Related Videos

Research

JoVE Journal - Developmental Biology
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Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

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2017

The segmentation clock drives oscillatory gene expression across the pre-somitic mesoderm (PSM). Dynamic Notch activity is key to this process. We use imaging and computational analyses to extract temporal dynamics from spatial expression data to demonstrate that Delta ligand and Notch receptor expression oscillate in the vertebrate PSM.

Research

JoVE Journal - Medicine
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Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

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Cited by 5 •

2016

This protocol describes a procedure to track the evolution of mesial network measures in temporal lobe epilepsy (TLE) patients. It is based on the combination of intracranial recordings with a novel numerical technique for data analysis. Specifically, we present a protocol for network analyses of foramen ovale recordings.

Research

JoVE Journal - Medicine

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

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Cited by 35 •

2014

The Default Mode Network (DMN) in Temporal Lobe Epilepsy (TLE) is analyzed in the resting state of the brain using seed-based functional connectivity MRI (fcMRI).

STFEEG-Tool: A Spatial-Temporal-Frequency EEG Analysis Tool for Motor Imagery Brain-Computer Interfaces

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2026

This study presents a standardized and reproducible protocol for implementing the Spatial-Temporal-Frequency EEG analysis tool (STFEEG) for motor imagery EEG decoding, incorporating configurable spatial-temporal-frequency segmentation, Common Spatial Patterns (CSP)-based feature extraction, multiple classification algorithms, and visualization capabilities.

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

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Cited by 7 •

2019

To quantify microvascular flow from high speed capillary flow image sequences, we developed STAFF (Spatial Temporal Analysis of Fieldwise Flow) software. Across the full image field and over time, STAFF evaluates flow velocities and generates a sequence of color-coded spatial maps for visualization and tabular output for quantitative analyses.

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