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Currently, single-unit recordings provide the most precise recordings from a single neuron. A single unit is defined as a single, firing neuron whose spike potentials are distinctly isolated by a recording microelectrode. [3] The ability to record signals from neurons is centered around the electric current flow through the neuron.
Neurons can generate multiple action potentials in sequence forming so-called spike trains. These spike trains are the basis for neural coding and information transfer in the brain. Spike trains can form all kinds of patterns, such as rhythmic spiking and bursting, and often display oscillatory activity. [27]
The temporal structure of a spike train or firing rate evoked by a stimulus is determined both by the dynamics of the stimulus and by the nature of the neural encoding process. Stimuli that change rapidly tend to generate precisely timed spikes [28] (and rapidly changing firing rates in PSTHs) no matter what neural coding strategy is being used ...
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.
Dendritic spikes have been recorded in numerous types of neurons in the brain and are thought to have great implications in neuronal communication, memory, and learning. They are one of the major factors in long-term potentiation. A dendritic spike is initiated in the same manner as that of an axonal action potential.
Spikes in blood sugar after eating (called postprandial spikes) are normal, but frequent, super-high spikes can cause oxidative stress and increase inflammation, which can lead to a host of health ...
The VIX typically spikes during or in anticipation of a stock market correction. The higher the VIX goes, the more volatile things are expected to be. The higher the VIX goes, the more volatile ...
Postsynaptic potentials are the response to incoming spikes while the spike-afterpotential is the response to outgoing spikes. The name spike response model arises because, in a network, the input current for neuron i is generated by the spikes of other neurons so that in the case of a network the voltage equation becomes