Spike Train Recording
Spike Train Recording - Related Videos
08:48
Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
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Cited by 1 •
2012
Understanding the function of the vertebrate central nervous system requires recordings from many neurons because cortical function arises on the level of populations of neurons. Here we describe an optical method to record suprathreshold neural activity with single-cell and single-spike resolution, dithered random-access scanning. This method records somatic fluorescence calcium signals from up to 100 neurons with high temporal resolution. A maximum-likelihood algorithm deconvolves the...
02:19
Triggering a Closed-Loop Stimulation by Neuron Spiking Activity
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2025
This video demonstrates the operation of closed-loop stimulation in a rat with a surgically implanted device to record neural activity. Neuronal signals are first recorded and analyzed. Template waveforms are then uploaded, and parameters are defined to trigger closed-loop stimulation.
08:43
Combined Shuttle-Box Training with Electrophysiological Cortex Recording and Stimulation as a Tool to Study Perception and Learning
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Cited by 20 •
2015
Shuttle-box avoidance learning is well-established in behavioral neuroscience. This protocol describes how shuttle-box learning in rodents can be combined with site-specific electrical intracortical microstimulation (ICMS) and simultaneous chronical in vivo recordings as a tool to study multiple aspects of learning and perception.
07:34
A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
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Cited by 4 •
2014
To elucidate the complex transition from Local Field Potentials (LFPs) to spikes a suitable stimulator for light mechanical peripheral stimuli was built. As an application, the spiking activities recorded from somatosensory cortex were analyzed by a multi-objective optimization strategy. The results demonstrated that the proposed stimulator was able to deliver tactile stimuli with millisecond and millimeter precisions.
02:46
Visualizing Dose-Dependent Spike Protein Uptake with Quantum Dot Conjugates
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2026
Source: Tran, B. N., et. al. High-throughput Confocal Imaging of Quantum Dot-Conjugated SARS-CoV-2 Spike Trimers to Track Binding and Endocytosis in HEK293T Cells. J. Vis. Exp. (2022)This video demonstrates the use of quantum dot–conjugated spike protein (QD-Spike) to visualize dose-dependent viral entry in ACE2-GFP–expressing cells. Confocal imaging captures the internalization of QD-Spike via receptor-mediated endocytosis, modeling early coronavirus entry.
FAQs
The sequence of spike timestamps allows researchers to examine more than whether a neuron fired. They can compare firing frequency, timing, and broader patterns across recordings. These measures help distinguish changes in activity between brain regions or experimental conditions, making the temporal organization of action potentials relevant to how neurons encode and transmit information.
Electrodes detect voltage changes associated with neuronal firing, while the recording system processes those electrical events into identifiable spikes. The system then converts each detected event into a timestamp and organizes the resulting sequence for analysis. This separation between signal detection and temporal representation makes neuronal activity measurable in forms that support comparisons across experiments.
Firing frequency summarizes how often action potentials occur, whereas spike timing and patterns describe when those events occur in relation to one another. Considering both properties provides a broader view of neuronal signaling than either measure alone. Their combined analysis can help researchers investigate how activity represents sensory information, behavior, or changes within neural circuits.
A typical workflow begins by detecting voltage changes produced by neuronal firing. The recording system identifies individual spikes, assigns timestamps to those events, and represents their frequency and temporal patterns. Researchers can then analyze the resulting spike train to compare neuronal activity across brain regions, experimental conditions, stimuli, or behavioral states.
Researchers compare the timing, frequency, and patterns of recorded spikes with sensory stimuli or observed behavior. This comparison shows how neuronal activity changes in relation to an external event or behavioral state. Such analyses help evaluate whether activity in different brain regions is associated with particular sensory or behavioral conditions.
Spike train data support investigations of neural coding, connectivity, and changes in neural circuits. They are also used in studies of neurological disorders and in the development of neural interfaces. By providing time-ordered measures of neuronal activity, these recordings help researchers relate electrical signaling to circuit function and assess activity under different scientific or clinical research conditions.