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Related Concept Videos

Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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Decision Making: P-value Method01:09

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Integration of Synaptic Events01:28

Integration of Synaptic Events

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Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
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Fixed Action Patterns01:06

Fixed Action Patterns

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A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
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Potential Energy00:52

Potential Energy

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The energy stored by a structure and location of matter in space is called potential energy. For instance, raising a kettlebell changes its spatial location and increases its potential energy. Similarly, a stretched rubber band contains potential energy which, under certain conditions, can be converted into other forms of energy, such as kinetic energy.
Chemical bonds that form attractive forces between atoms also contain potential energy, called chemical energy. When a chemical reaction...
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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Cross-Modal Multivariate Pattern Analysis
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The Decision Decoding ToolBOX (DDTBOX) - A Multivariate Pattern Analysis Toolbox for Event-Related Potentials.

Stefan Bode1, Daniel Feuerriegel2,3, Daniel Bennett1,4

  • 1Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.

Neuroinformatics
|May 4, 2018
PubMed
Summary
This summary is machine-generated.

DDTBOX is a new open-source MATLAB toolbox for analyzing electroencephalography (EEG) data using multivariate pattern analysis (MVPA). It helps decode cognitive processes by analyzing event-related potential (ERP) patterns, complementing traditional methods.

Keywords:
DecodingElectroencephalography (EEG)Event-related potentials (ERPs)Multivariate pattern classification analysis (MVPA)Support vector machinesToolbox

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Computational Neuroscience

Background:

  • Multivariate pattern analysis (MVPA) is increasingly used in cognitive neuroscience for higher cognitive functions.
  • Existing tools may not fully address the nuances of electroencephalography (EEG) data analysis for complex cognitive processes.

Purpose of the Study:

  • Introduce DDTBOX, an open-source MATLAB toolbox for MVPA on EEG data.
  • Provide researchers with a tool to analyze event-related potential (ERP) patterns for decoding cognitive information.
  • Complement conventional ERP analysis and enable explorative research.

Main Methods:

  • DDTBOX integrates with EEGLAB, ERPLAB, and Fieldtrip toolboxes.
  • It employs support vector machines (SVMs) to classify or regress experimental variables using ERP amplitude patterns.
  • Analysis includes spatial, temporal, and spatiotemporal decoding, feature weight extraction, and statistical testing with multiple comparison corrections.

Main Results:

  • DDTBOX enables the detection of subtle multivariate patterns in EEG data often missed by standard analyses.
  • It facilitates the characterization of the time-course of information related to perceptual and cognitive processes.
  • The toolbox supports both single-subject and group-level analyses with comprehensive plotting functions.

Conclusions:

  • DDTBOX is a user-friendly, open-source toolbox for advanced EEG data analysis using MVPA.
  • It offers a valuable method for investigating cognitive functions and complements existing neuroimaging techniques.
  • The toolbox is applicable to diverse experimental paradigms, enhancing its utility for the neuroimaging community.