Nicholas M. Timme

This paper introduces CLiQR, a capacitive lickometry system for precise rodent drinking measurement, showing strong correlation between detected licks and fluid intake.

This paper demonstrates a computational approach to reduce maladaptive behavior in neuropsychiatric disorders by modifying neural networks in a model of alcohol drinking.

This study assesses aversion-resistant drinking in head-fixed mice and links non-consummatory behaviors to the intensity of this behavior.

The paper compares proactive and reactive cognitive control strategies in Wistar and P rats during alcohol-seeking tasks, finding Wistars use proactive control while P rats use reactive control.

The paper investigates how synergistic integration in neural networks relates to the directionality of information flow, finding that recurrent flow increases and feedback flow decreases synergistic integration.

The paper investigates how correlated neuronal activity relates to synergistic processing in cortical circuits at different timescales, finding a positive relationship at synaptic timescales and a negative one at longer timescales.

This study shows that alcohol preferring P rats continue to drink alcohol mixed with quinine despite aversion, unlike Wistar rats, suggesting a genetic basis for aversion-resistant drinking.

This study shows that rats with a family history of excessive drinking show reduced neural activity in the prefrontal cortex associated with the intention to drink alcohol.

The paper investigates whether rich club neurons in cortical circuits perform more computation than non-rich club neurons and finds they do, suggesting information propagation drives computation.