Neuroscience of Decision Making – Complete Phd and Masters Thesis

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Table of Contents

Chapter 1: Introduction
1.1 Background of the Study
1.2 Objectives of Study
1.3 Limitations of Study
1.4 Scope of Study

Chapter 2: Literature Review
2.1 Overview of Decision Making
2.2 Neuroscience of Decision Making
2.3 Factors influencing Decision Making
2.4 Previous Studies on Decision Making

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Procedure

Chapter 4: Discussion of Findings
4.1 Analysis of Data
4.2 Comparison with Previous Studies
4.3 Implications of Findings
4.4 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Conclusion
5.3 Contributions to the Field
5.4 Suggestions for Practical Applications

Brief Overview on Thesis Neuroscience of Decision Making

The thesis on Neuroscience of Decision Making aims to explore the underlying neural processes involved in decision making. Decision making is a complex cognitive process that involves evaluating options, weighing risks and benefits, and choosing the best course of action. The field of neuroscience offers valuable insights into how the brain makes decisions, including the role of different brain regions, neurotransmitters, and cognitive functions.

The literature review will provide an overview of decision making and the current understanding of the neuroscience behind it. This will include examining factors that influence decision making, such as emotional processing, reward systems, and cognitive biases. Previous studies on decision making will also be reviewed to provide context for the research.

The research methodology section will outline the design of the study, including data collection methods, analysis techniques, and sampling procedures. The study will aim to collect data on decision-making processes using neuroimaging techniques, such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG).

The discussion of findings will analyze the data collected and compare it with previous studies. The implications of the findings will be discussed in relation to understanding decision-making processes and potential applications in various fields, such as psychology, economics, and healthcare.

In conclusion, the thesis aims to contribute to the understanding of decision making from a neuroscience perspective. By examining the neural mechanisms involved in decision making, the study can provide insights into how decisions are made and potentially inform interventions to improve decision-making abilities.

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