Phasic dopamine release identification using ensemble of AlexNet
This work addresses a domain-specific challenge in neuroscience by potentially reducing manual analysis effort for researchers studying dopamine behavior.
The paper tackled the problem of analyzing fast-scan cyclic voltammetry measurements for phasic dopamine release identification, which requires significant effort, by using convolutional neural networks (CNNs) to automate this process.
Dopamine (DA) is an organic chemical that influences several parts of behaviour and physical functions. Fast-scan cyclic voltammetry (FSCV) is a technique used for in vivo phasic dopamine release measurements. The analysis of such measurements, though, requires notable effort. In this paper, we present the use of convolutional neural networks (CNNs) for the identification of phasic dopamine releases.