Yue Kris Wu

Inter-regional interactions uncouple within-region inhibition stabilization and paradoxical responses

The paper shows that paradoxical responses in brain regions can arise from inter-regional interactions rather than local inhibition stabilization.

Cell-type-specific synaptic scaling mechanisms differentially contribute to associative learning

The paper shows that excitatory and inhibitory synaptic scaling mechanisms interact to shape memory specificity during associative learning.

Characteristics and dynamical signatures of recurrent cortical circuits during context-dependent processing

The paper constructs stabilized supralinear network models of mouse primary visual cortex to analyze how inhibitory cell types dynamically influence context-dependent processing and circuit stability.

Dopamine D1 receptor activation shapes anterior insula neural coding of anxiety

This study shows that dopamine D1 receptor activation in the anterior insula increases anxiety-related behaviors and disrupts neural coding of exposed versus protected spaces.

Top-down modulation in canonical cortical circuits with short-term plasticity

The paper demonstrates how short-term plasticity mechanisms in cortical circuits can generate nonlinear phenomena like response reversal through interactions between interneuron subtypes.

Inhibition stabilization and paradoxical effects in recurrent neural networks with short-term plasticity

The paper analyzes how inhibition stabilization and the paradoxical effect in recurrent neural networks are influenced by neuronal nonlinearities and short-term plasticity, showing non-monotonic transitions between different regimes.

Homeostatic mechanisms regulate distinct aspects of cortical circuit dynamics

This study identifies how homeostatic mechanisms regulate higher-order network properties in rodents during visual deprivation, revealing distinct roles for synaptic scaling and intrinsic plasticity.

Rapid and Active Stabilization of Visual Cortical Firing Rates Across Light-Dark Transitions

This study shows that V1 neurons maintain stable firing rates during expected light-dark transitions but respond to unexpected changes, with correlations during natural vision being more informative than individual rates.