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Dive into the research topics where Zengcai V. Guo is active.

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Featured researches published by Zengcai V. Guo.


Nature Neuroscience | 2013

Neural coding during active somatosensation revealed using illusory touch

Daniel H. O'Connor; S. Andrew Hires; Zengcai V. Guo; Nuo Li; Jianing Yu; Qian-Quan Sun; Daniel Huber; Karel Svoboda

Active sensation requires the convergence of external stimuli with representations of body movements. We used mouse behavior, electrophysiology and optogenetics to dissect the temporal interactions among whisker movement, neural activity and sensation of touch. We photostimulated layer 4 activity in single barrels in a closed loop with whisking. Mimicking touch-related neural activity caused illusory perception of an object at a particular location, but scrambling the timing of the spikes over one whisking cycle (tens of milliseconds) did not abolish the illusion, indicating that knowledge of instantaneous whisker position is unnecessary for discriminating object locations. The illusions were induced only during bouts of directed whisking, when mice expected touch, and in the relevant barrel. Reducing activity biased behavior, consistent with a spike count code for object detection at a particular location. Our results show that mice integrate coding of touch with movement over timescales of a whisking bout to produce perception of active touch.


Nature | 2015

A motor cortex circuit for motor planning and movement

Nuo Li; Tsai-Wen Chen; Zengcai V. Guo; Charles R. Gerfen; Karel Svoboda

Activity in motor cortex predicts specific movements seconds before they occur, but how this preparatory activity relates to upcoming movements is obscure. We dissected the conversion of preparatory activity to movement within a structured motor cortex circuit. An anterior lateral region of the mouse cortex (a possible homologue of premotor cortex in primates) contains equal proportions of intermingled neurons predicting ipsi- or contralateral movements, yet unilateral inactivation of this cortical region during movement planning disrupts contralateral movements. Using cell-type-specific electrophysiology, cellular imaging and optogenetic perturbation, we show that layer 5 neurons projecting within the cortex have unbiased laterality. Activity with a contralateral population bias arises specifically in layer 5 neurons projecting to the brainstem, and only late during movement planning. These results reveal the transformation of distributed preparatory activity into movement commands within hierarchically organized cortical circuits.


Physical Review Letters | 2013

Geometric Mechanics of Periodic Pleated Origami

Zhiyan Y. Wei; Zengcai V. Guo; Levi H. Dudte; Haiyi Liang; L. Mahadevan

Origami structures are mechanical metamaterials with properties that arise almost exclusively from the geometry of the constituent folds and the constraint of piecewise isometric deformations. Here we characterize the geometry and planar and nonplanar effective elastic response of a simple periodically folded Miura-ori structure, which is composed of identical unit cells of mountain and valley folds with four-coordinated ridges, defined completely by two angles and two lengths. We show that the in-plane and out-of-plane Poissons ratios are equal in magnitude, but opposite in sign, independent of material properties. Furthermore, we show that effective bending stiffness of the unit cell is singular, allowing us to characterize the two-dimensional deformation of a plate in terms of a one-dimensional theory. Finally, we solve the inverse design problem of determining the geometric parameters for the optimal geometric and mechanical response of these extreme structures.


PLOS ONE | 2014

Procedures for behavioral experiments in head-fixed mice

Zengcai V. Guo; S. Andrew Hires; Nuo Li; Daniel H. O'Connor; Takaki Komiyama; Eran Ophir; Daniel Huber; Claudia Bonardi; Karin Morandell; Diego A. Gutnisky; Simon Peron; Ning-long Xu; James Cox; Karel Svoboda

The mouse is an increasingly prominent model for the analysis of mammalian neuronal circuits. Neural circuits ultimately have to be probed during behaviors that engage the circuits. Linking circuit dynamics to behavior requires precise control of sensory stimuli and measurement of body movements. Head-fixation has been used for behavioral research, particularly in non-human primates, to facilitate precise stimulus control, behavioral monitoring and neural recording. However, choice-based, perceptual decision tasks by head-fixed mice have only recently been introduced. Training mice relies on motivating mice using water restriction. Here we describe procedures for head-fixation, water restriction and behavioral training for head-fixed mice, with a focus on active, whisker-based tactile behaviors. In these experiments mice had restricted access to water (typically 1 ml/day). After ten days of water restriction, body weight stabilized at approximately 80% of initial weight. At that point mice were trained to discriminate sensory stimuli using operant conditioning. Head-fixed mice reported stimuli by licking in go/no-go tasks and also using a forced choice paradigm using a dual lickport. In some cases mice learned to discriminate sensory stimuli in a few trials within the first behavioral session. Delay epochs lasting a second or more were used to separate sensation (e.g. tactile exploration) and action (i.e. licking). Mice performed a variety of perceptual decision tasks with high performance for hundreds of trials per behavioral session. Up to four months of continuous water restriction showed no adverse health effects. Behavioral performance correlated with the degree of water restriction, supporting the importance of controlling access to water. These behavioral paradigms can be combined with cellular resolution imaging, random access photostimulation, and whole cell recordings.


Proceedings of the National Academy of Sciences of the United States of America | 2008

Limbless undulatory propulsion on land

Zengcai V. Guo; L. Mahadevan

We analyze the lateral undulatory motion of a natural or artificial snake or other slender organism that “swims” on land by propagating retrograde flexural waves. The governing equations for the planar lateral undulation of a thin filament that interacts frictionally with its environment lead to an incomplete system. Closures accounting for the forces generated by the internal muscles and the interaction of the filament with its environment lead to a nonlinear boundary value problem, which we solve using a combination of analytical and numerical methods. We find that the primary determinant of the shape of the organism is its interaction with the external environment, whereas the speed of the organism is determined primarily by the internal muscular forces, consistent with prior qualitative observations. Our model also allows us to pose and solve a variety of optimization problems such as those associated with maximum speed and mechanical efficiency, thus defining the performance envelope of this mode of locomotion.


Nature | 2017

Maintenance of persistent activity in a frontal thalamocortical loop

Zengcai V. Guo; Hidehiko K. Inagaki; Kayvon Daie; Shaul Druckmann; Charles R. Gerfen; Karel Svoboda

Persistent neural activity maintains information that connects past and future events. Models of persistent activity often invoke reverberations within local cortical circuits, but long-range circuits could also contribute. Neurons in the mouse anterior lateral motor cortex (ALM) have been shown to have selective persistent activity that instructs future actions. The ALM is connected bidirectionally with parts of the thalamus, including the ventral medial and ventral anterior–lateral nuclei. We recorded spikes from the ALM and thalamus during tactile discrimination with a delayed directional response. Here we show that, similar to ALM neurons, thalamic neurons exhibited selective persistent delay activity that predicted movement direction. Unilateral photoinhibition of delay activity in the ALM or thalamus produced contralesional neglect. Photoinhibition of the thalamus caused a short-latency and near-complete collapse of ALM activity. Similarly, photoinhibition of the ALM diminished thalamic activity. Our results show that the thalamus is a circuit hub in motor preparation and suggest that persistent activity requires reciprocal excitation across multiple brain areas.


Archive | 2016

Flow of Information Underlying a Tactile Decision in Mice

Nuo Li; Zengcai V. Guo; Tsai-Wen Chen; Karel Svoboda

Motor planning allows us to conceive, plan, and initiate skilled motor behaviors. Motor planning involves activity distributed widely across the cortex. How this activity dynamically comes together to guide movement remains an unsolved problem. We study motor planning in mice performing a tactile decision behavior. Head-fixed mice discriminate object locations with their whiskers and report their choice by directional licking (“lick left”/“lick right”). A short-term memory component separates tactile “sensation” and “action” into distinct epochs. Using loss-of-function experiments, cell-type specific electrophysiology, and cellular imaging, we delineate when and how activity in specific brain areas and cell types drives motor planning in mice. Our results suggest that information flows serially from sensory to motor areas during motor planning. The motor cortex circuit maintains the motor plan during short-term memory and translates the motor plan into motor commands that drive the upcoming directional licking.


Neuron | 2014

Flow of Cortical Activity Underlying a Tactile Decision in Mice

Zengcai V. Guo; Nuo Li; Daniel Huber; Eran Ophir; Diego A. Gutnisky; Jonathan T. Ting; Guoping Feng; Karel Svoboda


PLOS ONE | 2014

Procedures for Behavioral Experiments in Head-Fixed Mice (PLoS ONE (2014) 9, 2 (e88678) DOI: 10.1371/journal.pone.0088678)

Zengcai V. Guo; S. A. Hires; Nuo Li; Daniel H. O'Connor; Takaki Komiyama


Archive | 2016

Data related to: A thalamocortical loop underlies selective persistent activity in frontal cortex Zengcai V. Guo, Hidehiko K. Inagaki, Kayvon Daie, Shaul Druckmann, Charles R. Gerfen & Karel Svoboda Nature. 2017.

Zengcai V. Guo; Hidehiko K. Inagaki; Kayvon Daie; Shaul Druckmann; Charles R. Gerfen; Karel Svoboda

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Karel Svoboda

Howard Hughes Medical Institute

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Nuo Li

Howard Hughes Medical Institute

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Charles R. Gerfen

National Institutes of Health

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Daniel H. O'Connor

Howard Hughes Medical Institute

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Diego A. Gutnisky

Howard Hughes Medical Institute

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Eran Ophir

Howard Hughes Medical Institute

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Hidehiko K. Inagaki

California Institute of Technology

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