Nature Neuroscience: The pre-cortical cortical layer exhibits multi-dimensional dynamic coding during decision-making

The pre-frontal cortical cortical layer (PFC) refers to the primary motor cortical layer and the secondary motor cortical layer other than the entire pre-cortical cortical layer.
the function of PFC is asymmetric, the left PFC is related to positive emotions, and the right PFC is related to negative emotions.
that PFC carries a wide range of sensory, cognitive, and motor signals associated with integrating sensory information and making decisions.
But PFC neurons exhibit mixed selectivity and are characterized by heterogeneous tuning of multiple task variables, and these unique single neuron reactions make it difficult to gain insight into how different sensory and cognitive variables behave at the group level.
In this paper, the study analyzes the overall level of information in PFC using model-based target de-dimensionality (mTDR), in which mTDR is a common method of identifying the overall activity dimension, which encodes the information of different task variables.
This paper applies this method to electrophysiological data recorded during context-related percessive decision-making task 1, in which contextual cues determine what sensory information (color or motion) should be used to make binary decisions in each experiment.
Surprisingly, contrary to previous studies, our analysis shows that the encoding of decision-making, context and correlation, as well as unrelevant stimuli variables, exhibits rotational dynamics in multi-dimensional subspace, including modulation of two or more orthocisal neural activity patterns over time.
study also introduces a new unservised method, sequence master component analysis (seqPCA), which is primarily used to break down multi-dimensional represents into an ordered set of axes that capture the chronological order in which information for each variable is available.
the method reveals that the multi-dimensional motion trajectory can be divided into the early linear motion stage and the later rotational motion stage.
We use model-based decoding in the mTDR framework to show that the transition between these stages corresponds to saturation of the decoding accuracy of the sensory and decision information, which indicates that the population does not continue to accumulate sensory information during the rotation phase.
, the results of this paper prove the role of mTDR in neuron population data analysis, and provide a description of PFC dynamics, which should be used as an important constraint on the future model of PFC functional mechanism.
Aoi, M.C., Mante, V. & Pillow, J.W. Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making. Nat Neurosci 23, 1410-1420 (2020). Network Source: Web Copyright Notice: All text, images and audio and video materials on this website that indicate "Source: Mets Medicine" or "Source: MedSci Original" are owned by Metz Medicine and are not authorized to be reproduced by any media, website or individual, and are authorized to be reproduced with the words "Source: Met Medical".
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