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Related Concept Videos

Action Potential01:14

Action Potential

Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...
Propagation of Action Potentials01:23

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...

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Wilson Truccolo1, Leigh R Hochberg, John P Donoghue

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Coordinated spiking activity in neuronal ensembles is crucial for cognitive functions and adaptive behaviors.
  • Analyzing collective neural dynamics at the single-neuron spike level presents significant challenges.

Purpose of the Study:

  • To investigate the predictability of single neuron spiking based on the activity of neuronal ensembles.
  • To determine the influence of temporal dynamics versus instantaneous states on neural spiking.

Main Methods:

  • Analysis of spiking activity in small, randomly sampled neuronal ensembles (20-200 neurons) from the sensorimotor cortex of humans and nonhuman primates.
  • Comparison of predictive accuracy using ensemble spiking history versus instantaneous ensemble state (e.g., Ising models).

Main Results:

  • Spiking history of neuronal ensembles significantly predicted subsequent single neuron spiking with high accuracy.
  • Ensemble temporal dynamics were more predictive of spiking than the ensemble's instantaneous state.
  • Spiking could be predicted by both local and distant (across cortical areas) ensemble spiking histories.

Conclusions:

  • Temporal dynamics of neuronal ensembles play a critical role in predicting individual neuron activity.
  • Coordinated spiking across cortical networks, influenced by temporal dynamics, may underpin cognitive processes and adaptive behaviors.
  • This study offers a framework for understanding cognition through the lens of collective spiking dynamics.