He Cui
6 Papers
He Cui is an academic researcher. The author has contributed to research in topics: Computer science & Sensory system. The author has an hindex of 3, co-authored 6 publications.
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Papers
From Parametric Representation to Dynamical System: Shifting Views of the Motor Cortex in Motor Control
Tianwei Wang,Yun Chen,He Cui +2 more
TL;DR: In contrast to traditional representational perspectives in which the motor cortex is involved in motor control via neuronal preference for kinetics and kinematics, a dynamical system perspective emerging in the last decade views a motor cortex as a dynamic machine that generates motor commands by autonomous temporal evolution as discussed by the authors .
Posterior parietal cortex predicts upcoming movement in dynamic sensorimotor control
Yuhui Li,Yong Wang,He Cui +2 more
TL;DR: This study recorded single-neuron activity from behaving monkeys engaged in a dynamic, flexible, stimulus-response contingency task that enabled us to distinguish activity co-varying with sensory inflow from that co-VARYing with motor outflow in the posterior parietal cortex.
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Practice often and always get ready: a spiking mechanistic model for voluntary motor control
TL;DR: In this article , the authors proposed a theoretical model to regularize voluntary motor control based on predictive coding and adaptive control theory, which can demonstrate motor preparation and execution, generate desired output trajectory following intention inputs, and exhibit comparable cortical and endpoint dynamics.
Multiplicative Joint Coding in Preparatory Activity for Reaching Sequence in Macaque Motor Cortex
TL;DR: The authors found that there existed a substantial multiplicative component jointly tuned to impending and subsequent reaches during preparation, then the coding mechanism transferred to an additive manner during execution, which might explain the linear readout of elemental movements.
A hippocampus dependent neural circuit loop underlying the generation of auditory mismatch negativity
TL;DR: In this article , a mouse model for mimicking human auditory mismatch negativity (MMN), a well-characterized translational biomarker for schizophrenia, and an index of early auditory information processing was developed.