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Dominiak, S. E.

Publications and source records attributed to Dominiak, S. E..

2 recordsLinked to original sources

Distinct Disinhibitory Circuits Link Short-Term Adaptation to Familiarity and Reward Learning in Visual Cortex

Sensory cortices filter repeated inputs through rapid adaptation over seconds and experience-driven learning over days. Although these forms of plasticity occur simultaneously, it is not known how they interact within cortical circuits. We combined two-photon calcium imaging, data-driven circuit modelling and optogenetics to investigate how short-term adaptation in layer 2/3 of mouse V1 is shaped by stimulus familiarity and reward association. Habituation reduced the fraction of pyramidal cells responsive to a visual stimulus, whereas reward association maintained overall responsivity. In contrast, both forms of learning shifted pyramidal cell adaptation from depression toward sensitization, but through distinct circuit mechanisms. Habituation reduced disinhibition through the VIP[->]SST[->]PC pathway by weakening feedback activation of VIPs and VIP[->]SST connections. Reward association counteracted this effect by increasing disinhibition through the SST[->]PV[->]PC pathway, strengthening SST[->]PV connections while reducing SST[->]PC inputs. Despite engaging distinct disinhibitory circuits and producing divergent effects on pyramidal cell responsivity, both forms of learning converged on a reduced PV:SST input ratio to pyramidal cells, thereby biasing V1 toward sensitizing adaptation. These results identify changes in cortical circuits that link the plasticity of fast adaptation to simple forms of learning.

neuroscience↗

Whisking signals motor preparation and the behavioral state of mice

A central function of the brain is to plan, predict and imagine the effect of movement in a dynamically changing environment. Here we show that in mice head fixed in a plus-maze, floating on air, and trained to pick lanes based on visual stimuli, the asymmetric movement and position of whiskers on the two sides of the face signals whether the animal is moving, turning, expecting reward or licking. We show that 1) we can decode and predict the behavioral state of the animal based on this asymmetry, 2) that tactile input from whiskers indicates little about the behavioral state, and 3) that movement of the nose correlates with asymmetry, indicating that facial expression of the mouse is itself correlated with behavioral state. Amazingly, the movement of whiskers - a behavior that is not instructed or necessary in the task--informs an observer about what a mouse is doing in the maze. Thus, these mobile tactile sensors reflect a behavioral and movement-preparation state of the mouse.

neuroscience↗