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Dive into the research topics where Siyu Zhang is active.

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Featured researches published by Siyu Zhang.


Nature | 2012

Activation of Specific Interneurons Improves V1 Feature Selectivity and Visual Perception

Seunghee Lee; Alex C. Kwan; Siyu Zhang; Victoria Phoumthipphavong; John G. Flannery; Sotiris C. Masmanidis; Hiroki Taniguchi; Z. Josh Huang; Feng Zhang; Edward S. Boyden; Karl Deisseroth; Yang Dan

Inhibitory interneurons are essential components of the neural circuits underlying various brain functions. In the neocortex, a large diversity of GABA (γ-aminobutyric acid) interneurons has been identified on the basis of their morphology, molecular markers, biophysical properties and innervation pattern. However, how the activity of each subtype of interneurons contributes to sensory processing remains unclear. Here we show that optogenetic activation of parvalbumin-positive (PV+) interneurons in the mouse primary visual cortex (V1) sharpens neuronal feature selectivity and improves perceptual discrimination. Using multichannel recording with silicon probes and channelrhodopsin-2 (ChR2)-mediated optical activation, we found that increased spiking of PV+ interneurons markedly sharpened orientation tuning and enhanced direction selectivity of nearby neurons. These effects were caused by the activation of inhibitory neurons rather than a decreased spiking of excitatory neurons, as archaerhodopsin-3 (Arch)-mediated optical silencing of calcium/calmodulin-dependent protein kinase IIα (CAMKIIα)-positive excitatory neurons caused no significant change in V1 stimulus selectivity. Moreover, the improved selectivity specifically required PV+ neuron activation, as activating somatostatin or vasointestinal peptide interneurons had no significant effect. Notably, PV+ neuron activation in awake mice caused a significant improvement in their orientation discrimination, mirroring the sharpened V1 orientation tuning. Together, these results provide the first demonstration that visual coding and perception can be improved by increased spiking of a specific subtype of cortical inhibitory interneurons.


Science | 2014

Long-range and local circuits for top-down modulation of visual cortex processing

Siyu Zhang; Min Xu; Tsukasa Kamigaki; Johnny Phong Hoang Do; Wei-Cheng Chang; Sean Jenvay; Kazunari Miyamichi; Liqun Luo; Yang Dan

You only see what you want to see We often focus on a particular item out of a thousand objects in a visual scene. This ability is called selective attention. Selective attention enhances the responses of sensory nerve cells to whatever is being observed and dampens responses to any distractions. Zhang et al. identified a region of the mouse forebrain that modulates responses in the visual cortex. This modulation improved the mouses performance in a visual task. Science, this issue p. 660 Projections from the frontal cortex control stimulus processing in the visual system in mice. Top-down modulation of sensory processing allows the animal to select inputs most relevant to current tasks. We found that the cingulate (Cg) region of the mouse frontal cortex powerfully influences sensory processing in the primary visual cortex (V1) through long-range projections that activate local γ-aminobutyric acid–ergic (GABAergic) circuits. Optogenetic activation of Cg neurons enhanced V1 neuron responses and improved visual discrimination. Focal activation of Cg axons in V1 caused a response increase at the activation site but a decrease at nearby locations (center-surround modulation). Whereas somatostatin-positive GABAergic interneurons contributed preferentially to surround suppression, vasoactive intestinal peptide-positive interneurons were crucial for center facilitation. Long-range corticocortical projections thus act through local microcircuits to exert spatially specific top-down modulation of sensory processing.


Nature Neuroscience | 2015

Basal forebrain circuit for sleep-wake control

Min Xu; Shinjae Chung; Siyu Zhang; Peng Zhong; Chenyan Ma; Wei-Cheng Chang; Brandon Weissbourd; Noriaki Sakai; Liqun Luo; Seiji Nishino; Yang Dan

The mammalian basal forebrain (BF) has important roles in controlling sleep and wakefulness, but the underlying neural circuit remains poorly understood. We examined the BF circuit by recording and optogenetically perturbing the activity of four genetically defined cell types across sleep-wake cycles and by comprehensively mapping their synaptic connections. Recordings from channelrhodopsin-2 (ChR2)-tagged neurons revealed that three BF cell types, cholinergic, glutamatergic and parvalbumin-positive (PV+) GABAergic neurons, were more active during wakefulness and rapid eye movement (REM) sleep (wake/REM active) than during non-REM (NREM) sleep, and activation of each cell type rapidly induced wakefulness. By contrast, activation of somatostatin-positive (SOM+) GABAergic neurons promoted NREM sleep, although only some of them were NREM active. Synaptically, the wake-promoting neurons were organized hierarchically by glutamatergic→cholinergic→PV+ neuron excitatory connections, and they all received inhibition from SOM+ neurons. Together, these findings reveal the basic organization of the BF circuit for sleep-wake control.


Proceedings of the National Academy of Sciences of the United States of America | 2014

Representation of interval timing by temporally scalable firing patterns in rat prefrontal cortex

Min Xu; Siyu Zhang; Yang Dan; Mu-ming Poo

Significance The ability to estimate time interval in the order of seconds is important for animal behaviors. However, how the brain estimates the passage of time remains mysterious. In the current study, we trained rats to estimate two different time intervals and recorded activities of single neurons from the medial prefrontal cortex (mPFC). We found that some PFC neurons showed activity changes during time estimation by the rat, with the same profile that was temporally scaled by a factor proportional to the estimated time intervals. Local cooling of mPFC slowed the time estimated by the rat. Thus, PFC neuronal activity contributes to time estimation, and temporal scaling of neuronal activity may be a circuit mechanism for estimating different time intervals. Perception of time interval on the order of seconds is an essential component of cognition, but the underlying neural mechanism remains largely unknown. In rats trained to estimate time intervals, we found that many neurons in the medial prefrontal cortex (PFC) exhibited sustained spiking activity with diverse temporal profiles of firing-rate modulation during the time-estimation period. Interestingly, in tasks involving different intervals, each neuron exhibited firing-rate modulation with the same profile that was temporally scaled by a factor linearly proportional to the instructed intervals. The behavioral variability across trials within each task also correlated with the intertrial variability of the temporal scaling factor. Local cooling of the medial PFC, which affects neural circuit dynamics, significantly delayed behavioral responses. Thus, PFC neuronal activity contributes to time perception, and temporally scalable firing-rate modulation may reflect a general mechanism for neural representation of interval timing.


eLife | 2016

Cell type-specific long-range connections of basal forebrain circuit

Johnny Phong Hoang Do; Min Xu; Seunghee Lee; Wei-Cheng Chang; Siyu Zhang; Shinjae Chung; Tyler J Yung; Jiang Lan Fan; Kazunari Miyamichi; Liqun Luo; Yang Dan

The basal forebrain (BF) plays key roles in multiple brain functions, including sleep-wake regulation, attention, and learning/memory, but the long-range connections mediating these functions remain poorly characterized. Here we performed whole-brain mapping of both inputs and outputs of four BF cell types – cholinergic, glutamatergic, and parvalbumin-positive (PV+) and somatostatin-positive (SOM+) GABAergic neurons – in the mouse brain. Using rabies virus -mediated monosynaptic retrograde tracing to label the inputs and adeno-associated virus to trace axonal projections, we identified numerous brain areas connected to the BF. The inputs to different cell types were qualitatively similar, but the output projections showed marked differences. The connections to glutamatergic and SOM+ neurons were strongly reciprocal, while those to cholinergic and PV+ neurons were more unidirectional. These results reveal the long-range wiring diagram of the BF circuit with highly convergent inputs and divergent outputs and point to both functional commonality and specialization of different BF cell types. DOI: http://dx.doi.org/10.7554/eLife.13214.001


The Journal of Neuroscience | 2009

Endocannabinoid-dependent homeostatic regulation of inhibitory synapses by miniature excitatory synaptic activities

Siyu Zhang; Min Xu; Qinglong Miao; Mu-ming Poo; Xiaohui Zhang

Homeostatic regulation of synaptic strength in response to persistent changes of neuronal activity plays an important role in maintaining the overall level of circuit activity within a normal range. Absence of miniature EPSCs (mEPSCs) for a few hours is known to cause upregulation of excitatory synaptic strength, suggesting that mEPSCs contribute to the maintenance of excitatory synaptic functions. In the present study, we found that the absence of mEPSCs for 1–3 h also resulted in homeostatic suppression of presynaptic functions of inhibitory synapses in acute cortical slices from juvenile rats, as suggested by the reduced frequency (but not amplitude) of miniature IPSCs (mIPSCs) as well as the reduced amplitude of IPSCs. This homeostatic regulation depended on endocannabinoid (eCB) signaling, because blockade of either the activation of cannabinoid type-1 receptors (CB1Rs) or the synthesis of its endogenous ligand 2-arachidonoylglycerol (2-AG) abolished the suppression of inhibitory synapses caused by the absence of mEPSCs. Blockade of group I metabotropic glutamate receptors (mGluR-I) also abolished the suppression of inhibitory synapses, consistent with the mGluR-I requirement for eCB synthesis and release in cortical synapses. Furthermore, this homeostatic regulation also required eukaryotic elongation factor-2 (eEF2)-dependent protein synthesis, but not gene transcription. Activation of eEF2 alone was sufficient to suppress the mIPSC frequency, an effect abolished by inhibiting CB1Rs. Thus, mEPSCs contribute to the maintenance of inhibitory synaptic function and the absence of mEPSCs results in presynaptic suppression of inhibitory synapses via protein synthesis-dependent elevation of eCB signaling.


Nature Neuroscience | 2016

Organization of long-range inputs and outputs of frontal cortex for top-down control

Siyu Zhang; Min Xu; Wei-Cheng Chang; Chenyan Ma; Johnny Phong Hoang Do; Daniel Jeong; Tiffany Lei; Jiang Lan Fan; Yang Dan

Long-range projections from the frontal cortex are known to modulate sensory processing in multiple modalities. Although the mouse has become an increasingly important animal model for studying the circuit basis of behavior, the functional organization of its frontal cortical long-range connectivity remains poorly characterized. Here we used virus-assisted circuit mapping to identify the brain networks for top-down modulation of visual, somatosensory and auditory processing. The visual cortex is reciprocally connected to the anterior cingulate area, whereas the somatosensory and auditory cortices are connected to the primary and secondary motor cortices. Anterograde and retrograde tracing identified the cortical and subcortical structures belonging to each network. Furthermore, using new viral techniques to target subpopulations of frontal neurons projecting to the visual cortex versus the superior colliculus, we identified two distinct subnetworks within the visual network. These findings provide an anatomical foundation for understanding the brain mechanisms underlying top-down control of behavior.


Cell | 2018

A Genetically Encoded Fluorescent Sensor Enables Rapid and Specific Detection of Dopamine in Flies, Fish, and Mice

Fangmiao Sun; Jianzhi Zeng; Miao Jing; Jingheng Zhou; Jiesi Feng; Scott F. Owen; Yichen Luo; Funing Li; Huan Wang; Takashi Yamaguchi; Zihao Yong; Yijing Gao; Wanling Peng; Lizhao Wang; Siyu Zhang; Jiulin Du; Dayu Lin; Min Xu; Anatol C. Kreitzer; Guohong Cui; Yulong Li

Dopamine (DA) is a central monoamine neurotransmitter involved in many physiological and pathological processes. A longstanding yet largely unmet goal is to measure DA changes reliably and specifically with high spatiotemporal precision, particularly in animals executing complex behaviors. Here, we report the development of genetically encoded GPCR-activation-based-DA (GRABDA) sensors that enable these measurements. In response to extracellular DA, GRABDA sensors exhibit large fluorescence increases (ΔF/F0 ∼90%) with subcellular resolution, subsecond kinetics, nanomolar to submicromolar affinities, and excellent molecular specificity. GRABDA sensors can resolve a single-electrical-stimulus-evoked DA release in mouse brain slices and detect endogenous DA release in living flies, fish, and mice. In freely behaving mice, GRABDA sensors readily report optogenetically elicited nigrostriatal DA release and depict dynamic mesoaccumbens DA signaling during Pavlovian conditioning or during sexual behaviors. Thus, GRABDA sensors enable spatiotemporally precise measurements of DA dynamics in a variety of model organisms while exhibiting complex behaviors.


Proceedings of the National Academy of Sciences of the United States of America | 2014

Reply to Namboodiri and Hussain Shuler: Analysis of scaling of neuronal activities in medial prefrontal cortex during interval timing

Min Xu; Siyu Zhang; Yang Dan; Mu-ming Poo

Namboodiri and Hussain Shuler (1) propose an alternative explanation for the timing-related firing rate modulation of medial prefrontal cortex (mPFC) neurons, suggesting that our finding can be simply explained by mPFC neuronal activity evoked by port exit (2). To illustrate their argument, the authors describe a thought experiment in which a flash of light is presented to the animal at the time of port exit. The authors predict that the visually evoked responses, when aligned to the sound onset and averaged across trials, will give rise to peri-event time histogram with an apparent scaling property because of the scaled variability of exit times across trials. This prediction is incorrect, as a crucial step was included in our analysis designed specifically to eliminate this confound. As described in the Materials and Methods of ref. 2, spike rate in each individual trial was temporally scaled to the mean exit time to remove variability introduced by the variation in the exit time (Fig. 1). Using this analysis, the peri-event time histogram obtained from the above thought experiment should not exhibit the scaling property as that shown in figure 3 of ref. 2, because the visually evoked activity (occurring after the exit) will fall outside of our analysis window. For the same reason, although some mPFC neurons do exhibit transient firing at port exit, our temporal scaling of individual trials before averaging means that these peaks fall outside of the analysis window, because most of the spike occurred after port exit. To further minimize the potential confound by the transient activity associated with port exit, the period of 100-ms before the port exit was also excluded from our analysis window (figure 3D of ref. 2). Together, these steps preclude the trivial explanation proposed by Namboodiri and Hussain Shuler (1).


eLife | 2016

Correction: Cell type-specific long-range connections of basal forebrain circuit

Johnny Phong Hoang Do; Min Xu; Seunghee Lee; Wei-Cheng Chang; Siyu Zhang; Shinjae Chung; Tyler J Yung; Jiang Lan Fan; Kazunari Miyamichi; Liqun Luo; Yang Dan

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Min Xu

Chinese Academy of Sciences

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Liqun Luo

Howard Hughes Medical Institute

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Kazunari Miyamichi

Howard Hughes Medical Institute

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Mu-ming Poo

Chinese Academy of Sciences

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Edward S. Boyden

Massachusetts Institute of Technology

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Feng Zhang

Massachusetts Institute of Technology

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Hiroki Taniguchi

Cold Spring Harbor Laboratory

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