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Choice-specific sequences in parietal cortex during a virtual-navigation decision task.

Christopher D Harvey¹, Philip Coen, David W Tank

¹Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey 08544, USA. christopher_harvey@hms.harvard.edu

|March 16, 2012

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The posterior parietal cortex (PPC) uses sequential neural activation patterns for cognitive tasks. These dynamic sequences, rather than stable states, enable choice-specific computations in the brain.

Area of Science:

Neuroscience
Cognitive Neuroscience
Systems Neuroscience

Background:

The posterior parietal cortex (PPC) is crucial for various cognitive behaviors.
Understanding the neural circuit dynamics governing PPC function remains a challenge.

Purpose of the Study:

To investigate the spatial and temporal activity patterns of neuronal populations in the PPC during a complex cognitive task.
To elucidate the circuit dynamics underlying decision-making and navigation in the PPC.

Main Methods:

Optical imaging of neuronal populations in mice performing a task involving perceptual decision-making and memory-guided navigation.
Analysis of spatial and temporal activation patterns of individual neurons and neuronal populations.

Main Results:

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Neurons exhibited transient, time-staggered activations, forming sequential patterns across task trials.
Distinct neuronal sequences were observed for opposing behavioral choices, creating choice-specific population activity trajectories.
These functionally distinct neuronal sequences were implemented by anatomically intermingled microcircuits.

Conclusions:

The PPC may utilize sequence-based circuit dynamics for cognitive computations, particularly in working memory and decision tasks.
These findings suggest that dynamic, sequential activity, rather than stable states, underlies PPC function.
Anatomically intermingled microcircuits support these complex, time-varying computations.