Lfp Spike Transitions
Lfp Spike Transitions - Related Videos
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.
02:31
Phase Transitions
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2020
Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to occupy...
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.
01:58
Cooperative Allosteric Transitions
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2020
Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
02:58
Properties of Transition Metals
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2020
Transition metals are defined as those elements that have partially filled d orbitals. As shown in Figure 1, the d-block elements in groups 3–12 are transition elements. The f-block elements, also called inner transition metals (the lanthanides and actinides), also meet this criterion because the d orbital is partially occupied before the f orbitals. Figure 1: Periodic Table. The transition metals are located in groups 3–11 of the periodic table. The inner transition metals are in the two rows...
FAQs
The key mechanism is a change in membrane potential produced by coordinated network inputs. As that potential moves toward spike threshold, a neuron becomes more likely to fire; as it moves away, firing becomes less likely. The resulting transition links changes in population-level LFP activity with the timing of discrete spikes from individual neurons.
Timing and amplitude provide complementary information. The timing of a transition indicates how network input aligns with neuronal firing, whereas amplitude reflects the strength of the recorded population-level change. Interpreting both features helps distinguish coordinated shifts in circuit activity from changes that primarily affect when neurons fire or how strongly the broader signal changes.
An LFP record emphasizes summed activity across a neural population, while spike data identify discrete firing events from individual neurons. Studying their transitions adds the relationship between these scales: it shows whether population dynamics coincide with movement toward or away from spike threshold. This cross-scale view can reveal coordination that either signal alone may obscure.
Analysis centers on comparing changes in LFP activity with the occurrence and timing of neuronal spikes. Investigators examine whether shifts in the population signal coincide with membrane-potential changes that promote or suppress firing, then consider associated changes in timing and amplitude. This approach connects network activity to single-cell responses without treating either measurement as independent.
The relationship between population oscillations and individual-cell firing can show how neural circuits coordinate responses to sensory information and behavioral demands. Examining when spikes occur relative to changing LFP activity helps identify patterns of circuit organization across brain states. These observations provide a way to study how distributed neural activity supports information encoding and coordinated behavior.
Pathological brain states can involve abnormal synchronization among neural populations. Examining transitions between LFP changes and spike firing helps characterize how that synchronization relates to individual-neuron activity. In epilepsy and other neurological disorders, this relationship may clarify how coordinated network dynamics differ from typical brain-state activity and support investigations of disease-related circuit mechanisms.