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Tian, G. J.

Publications and source records attributed to Tian, G. J..

3 recordsLinked to original sources

Synaptic Development of Fine Spatial Scale Organization of Neuronal Orientation Tuning in Mouse Primary Visual Cortex

Primary sensory cortices often organize neurons with similar stimulus preference into spatially functional maps. Recent work in mouse primary visual cortex (V1) has established that neuronal tuning to the orientation of visual grating stimuli is organized into micro-clusters, where physically close neuron pairs (~ 20 {micro}m) share highly similar orientation preferences, but the organization is unstructured beyond this narrow range. This fine-scale organization is seemingly at odds with the underlying intracortical circuitry in mouse V1 whose spatial extent is an order of magnitude broader (100 ~ 200 {micro}m). In this study, we explore an activity-dependent synaptic plasticity model of spatially structured thalamo-cortical connectivity. We develop theory under asymptotic conditions specific for mouse V1, and derive concrete circuit conditions under which micro-clusters naturally develop. In particular, the recurrent interaction among V1 neurons requires an additional component over a micro-spatial scale, while the spatial profiles of balanced excitation and inhibition support an effective micro-scale interaction. Together, our results provide a developmental mechanism and analytical framework linking thalamo-cortical development, recurrent circuit structure, and the emergence of functional organization in primary visual cortex.

neuroscience↗

Convergence of Cortical and Thalamic Origins of Free Behavior Modulation of Mouse Primary Visual Cortex

The quality of sensory information flow in the brain may be affected by uninstructed free animal behavior. However, the specific circuit pathways that merge sensory and free behavior remain obscure. In mouse primary visual cortex (V1), we combine two-photon calcium imaging of cortical neurons and thalamo-cortical LGN (lateral geniculate nucleus) boutons with simultaneous measurements of facial movements. When controlling for spurious time-structured nonsense correlations, we observed representations of both eye movements and non-ocular facial movement features in both LGN bouton and V1 cortical neuron activity during grating input stimulation. Further, the correlation between V1 neurons and facial movement is larger for grating stimulation compared to blank stimulation, likely due to the integration of LGN inputs and modulation of V1 from higher brain centers during grating stimulation. Together, our results suggest a convergence of uninstructed non-visual signals from a persistent top-down pathway and a stimulus-gated bottom-up pathway in primary visual cortex.

neuroscience↗

Neuronal firing rate diversity lowers the dimension of population covariability

Neuronal responses are very diverse, with specific stimuli or behaviors eliciting a range of activity across a neuronal population. These responses also show large and correlated trial-to-trial fluctuations that occupy a low-dimensional region in activity space. We link these two aspects of neuronal response in both feedforward and recurrent circuit models and derive the following relation: the more diverse the firing rates of neurons in a population, the lower the effective dimension of their trial-to-trial covariability. We test our prediction using simultaneously recorded neuronal populations from numerous brain areas in mice, non-human primates, and in the motor cortex of human participants. Finally, we show how diverse neural codes lead to better stimulus discrimination, and that when the brain is in a heightened state of processing responses are more diverse and have lower-dimensional fluctuations. In sum, we present an organizing principle of population response that is widely observed across the nervous system and acts to synergistically improve population representation.

neuroscience↗