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The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
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A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
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The action potential is a complex electrical event that occurs in excitable cells, such as neurons and muscle cells. It consists of several distinct phases, each with specific characteristics.
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Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms
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Neural dynamics outside task-coding dimensions drive decision trajectories through transient amplification.

Ulises Pereira-Obilinovic1, Kayvon Daie1, Susu Chen2

  • 1Allen Institute for Neural Dynamics, Seattle, WA, United States of America.

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|December 3, 2025
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Summary
This summary is machine-generated.

Neural activity outside task-related "coding dimensions" critically drives behavior. Residual dimensions, often ignored, causally shape decisions by influencing neural dynamics, challenging traditional views of neural computation.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neural activity occurs in high-dimensional spaces.
  • Task-aligned subspaces (coding dimensions) are commonly studied for decision-making.
  • The role of neural activity outside these subspaces (residual dimensions) is unclear.

Purpose of the Study:

  • To investigate the causal role of coding and residual neural dimensions in decision-making.
  • To model dynamic interactions between these subspaces on single trials.
  • To challenge the focus on low-dimensional coding subspaces in understanding neural computations.

Main Methods:

  • Developed a recurrent neural network model to fit population activity.
  • Applied the model to electrophysiological recordings from mouse anterior lateral motor cortex and motor thalamus.
  • Perturbed coding and residual dimensions to observe effects on behavior.

Main Results:

  • Perturbations of residual dimensions altered behavioral choices, while choice dimension perturbations were ineffective.
  • Residual dimensions drove transient amplification across dimensions before attractor state collapse.
  • Error trials showed trajectories shifting along residual dimensions, biasing decisions.
  • Thalamic residual activity influenced cortical decision dynamics.

Conclusions:

  • Neural dimensions previously considered task-irrelevant (residual dimensions) play a critical role in driving behavior.
  • The study challenges the sufficiency of low-dimensional coding subspaces for explaining neural computations.
  • Weakly selective thalamic populations contribute to cortical decision-making and selectivity.