Jakob Kisbye Dreyer

The paper develops a computational model of dopamine dynamics in the striatum, revealing regional differences in dopamine transporter activity and receptor response kinetics.

This study uses dopamine sensors and machine learning to analyze how dopamine dynamics in the dorsal and ventral striatum of mice correlate with behavioral patterns during exploratory behavior.

The paper investigates early neuronal activity impairments in the rTg4510 tauopathy mouse model, finding reduced responsivity and altered oscillatory patterns in visual cortex neurons.

The paper compares microdialysis and fiber photometry for measuring dopamine in awake mice after amphetamine exposure, finding good correlation between the two methods.

This paper reviews computational models of Parkinson’s disease to understand its mechanisms, neural dynamics, and treatments.

This paper introduces an unsupervised algorithm based on the Minimum Description Length principle to idealize ion channel recordings, demonstrating its effectiveness in recovering channel currents and substates from noisy data.