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A temporal raster plot is a graphic representation of occurrences in a certain temporal relation. Temporal raster plots are also sometimes referred to as carpet plots . Each occurrence is registered in a Cartesian coordinate system, in which both axes show time but have different time resolutions: one axis shows slices of data, the other some ...
Align spike sequences with the onset of a stimulus that is repeated n times. For periodic stimuli, wrap the response sequence back to time zero after each time period T, and count n as the total number of periods of data. Divide the stimulus period or observation period T into N bins of size .
NEST raster. The following example simulates spiking activity in a sparse random network with recurrent excitation and inhibition [1] The figure shows the spiking activity of 50 neurons as a raster plot. Time increases along the horizontal axis, neuron id increases along the vertical axis.
This means that r(t)Δt is also the fraction of trials on which a spike occurred between those times. Equivalently, r(t)Δt is the probability that a spike occurs during this time interval. As an experimental procedure, the time-dependent firing rate measure is a useful method to evaluate neuronal activity, in particular in the case of time ...
The spike-triggered averaging (STA) is a tool for characterizing the response properties of a neuron using the spikes emitted in response to a time-varying stimulus. The STA provides an estimate of a neuron's linear receptive field. It is a useful technique for the analysis of electrophysiological data.
Autocorrelations and spike raster plots of two single-units recorded from the secondary somatosensory cortex of a monkey. The top neuron is oscillating spontaneously at approximately 30 Hz. The bottom neuron is not oscillating. [2] Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous ...
If you’ve been using a GLP-1 such as semaglutide, then you’ve likely experienced the powerful effects of this weight loss medication. But what happens when you decide to stop taking semaglutide?
In 1973, M. M. Taylor [1] suggested that if synapses were strengthened for which a presynaptic spike occurred just before a postsynaptic spike more often than the reverse (Hebbian learning), while with the opposite timing or in the absence of a closely timed presynaptic spike, synapses were weakened (anti-Hebbian learning), the result would be an informationally efficient recoding of input ...