This software package can process both univariate and multivariate time series data, and these signals can be either continuous (e.g., LFP) or point process.
neuroscience analysis
32 verified PDFs
In the 1960s, neuroscientists did almost all image analysis entirely by hand. Microscope images of brain cells like neurons and dendrites could be compared.
Researchers propose building technologies to enable comprehensive mapping of neural circuit activity to understand brain function and ...
ABSTRACT. This review outlines how functional brain imaging, using an individual-differences approach in the processing of emotional stimuli,.
Abstract. Little is known about the influence of morphological variablity on the physiological response of brain cells. It is assumed that variables such as ...
In this Focus, experts outline the technologies needed to obtain these maps and discuss what will be needed beyond them to under- stand brain function. In a ...
The lion's share of advanced data analysis in the brain sciences is carried out by neuroscientists trained in bioengineering, biophysics, and computer ...
This article briefly describes three challenging data analysis questions in neuroscience research. Spike Sorting: Identification and Classification of Spike ...
Brief description of the course. This course introduces concepts related to processing of neural signals recorded using a variety of techniques.
This course will introduce the properties of a wide range of neural signals that are used to study the brain in health and disease. The relevance of these ...
Topology is a subfield of mathematics that analyses the shape of objects. Topological data analysis is a new method to discover underlying ...
This textbook is an introduction to signal processing primarily aimed at neuroscientists and biomedical engineers. The text was developed for a.
