Advances in Psychology: fMRI

Functional brain imaging techniques, functional magnetic resonance imaging (MRI), are now central to evaluating organized neural systems in task-driven and resting states, in both healthy and pathological conditions. Behind the scenes of modern neuroimaging is the quest for an understanding of the functional organization of the human brain, using techniques to assess changes in brain circulation. Today, we will discuss human brain and fMRI in detail.

See human brain inside:

See fMRI introduction:

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Advances in Psychology: ERPs

Event-Related Potentials (ERP) use electrodes that are attached to the scalp, as with EEG. However, the key difference is that a stimulus is presented to a participant (for example a picture/sound) and the researcher looks for activity related to that stimulus.
Before learning ERPs, we should know basic background knowledge of neural system. Below is the structure of neuron and its connection principles which are the first step to know neuronscience and related applications.

Fig.1 The structure of Neuron

Fig.2 The connections of Neuron

Fig.3 ERPs data collection

Fig.4 stimulus contrast

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Event-related potentials and recognition memory(Michael D. Rugg,2007)
Event-related potentials: A Overview
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English learning resources

Improving your listening:Ximalaya

Advances in Psychology: R statistic

R is a powerful language and environment for statistical computing and graphics which is widely applied in science research. R provides a variety of statistical (linear and nonlinear modelling,clssical statistical tests, time-series analysis, classification, clustering,...) and graphical techniques. R is available as free software and compiles and runs on UNIX platforms, windows and MacOS.
Beyond SPSS, we greatly suggest Psychological students use R as a main statistic tool to analyze your data.

More detail please visit:

R studio

Advances in Psychology: Experimental Design

In an experiment, we deliberately change one or more process variables (or factors) in order to observe the effect the changes have on one or more response variables. The (statistical) design of experiments (DOE) is an efficient procedure for planning experiments so that the data obtained can be analyzed to yield valid and objective conclusions.
DOE begins with determining the objectives of an experiment and selecting the process factors for the study. An Experimental Design is the laying out of a detailed experimental plan in advance of doing the experiment. Well chosen experimental designs maximize the amount of "information" that can be obtained for a given amount of experimental effort.
For more detail: Experimental Design Introduction

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