Volume 15, Number 5/6
Brain Information Processing Analysis using Artificial Intelligence Methods
Authors
Bahareh Rahmani 1, Han Yiyuan 2, Muhammad Aqeel 1, Payam Norouzzadeh 3, Abbas Maazallahi 4, Eli Snir 2, Ghazaleh Ashrafi 5, 1Saint Louis University, USA, 2Washington University in Saint Louis, USA , 3Saint Louis University, USA, 4University of Tehran, Iran, 5Washington University in Saint Louis, USA
Abstract
The human brain is a complex organ that processes millions of neurons and transmits information through billions of synapses. Here, we perform a quantitative analysis of a fluorescent reporter of synaptic vesicle release in synapses to gain insights into the underlying patterns of synaptic transmission. In these experiments, dissociated rat hippocampal neurons expressing the reporter were electrically stimulated with field potential, and fluorescence signals were recorded. We observed a positive correlation between the resting intensity level after stimulation and resting intensity level before stimulation, peak value, and time interval to peak. These findings provide valuable insights into the response of individual synapses to electrical stimulation and uncover important features of synaptic transmission.
Keywords
Brain, Neurons, Synapses, Fluorescence Intensity, Electrical Stimulation, Statistical Analysis, Regression