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Introduction

Perceptual decision-making is a fundamental cognitive process that allows individuals to interpret sensory information and make judgments or decisions based on that information. Understanding the neural basis of perceptual decision-making is crucial for elucidating the underlying mechanisms of complex cognitive functions such as attention, memory, and decision-making. This thesis aims to provide a comprehensive overview of the neural basis of perceptual decision-making by reviewing existing literature, conducting empirical research, and discussing the implications of these findings.

Chapter 1: Introduction

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review

2.1 Neural circuits involved in perceptual decision-making
2.2 Role of neurotransmitters in modulating perceptual decision-making
2.3 Neural mechanisms underlying perceptual learning and decision-making
2.4 Computational models of perceptual decision-making
2.5 Neural correlates of perceptual decision-making in humans
2.6 Neural correlates of perceptual decision-making in non-human primates
2.7 Developmental aspects of neural basis of perceptual decision-making
2.8 Clinical implications of impaired perceptual decision-making
2.9 Methodological considerations in studying neural basis of perceptual decision-making
2.10 Gaps in current understanding and future directions

Chapter 3: Research Methodology

3.1 Research design
3.2 Participants
3.3 Stimuli and task
3.4 Data collection procedures
3.5 Data analysis techniques
3.6 Statistical analysis
3.7 Ethical considerations
3.8 Validity and reliability
3.9 Research limitations

Chapter 4: Discussion of Findings

4.1 Overview of empirical findings
4.2 Comparison with existing literature
4.3 Interpretation of results
4.4 Implications for theory and practice
4.5 Strengths and limitations of the study
4.6 Future research directions
4.7 Practical applications
4.8 Conclusion

Chapter 5: Conclusion and Summary

5.1 Summary of key findings
5.2 Contributions to the field
5.3 Implications for future research and practice
5.4 Limitations of the study
5.5 Conclusion

Thesis Overview

The neural basis of perceptual decision-making is a complex and multifaceted topic that has garnered significant interest in the field of cognitive neuroscience. This thesis aims to provide a comprehensive overview of the current understanding of the neural mechanisms underlying perceptual decision-making, drawing from existing literature, empirical research, and theoretical models. By examining the neural circuits, neurotransmitters, computational models, and developmental aspects of perceptual decision-making, this thesis seeks to shed light on the underlying mechanisms that govern our ability to interpret sensory information and make informed decisions.

Through a thorough review of the literature, this thesis will explore the current state of knowledge regarding the neural basis of perceptual decision-making in both humans and non-human primates. By synthesizing empirical findings and theoretical frameworks, this thesis will provide a comprehensive overview of the neural mechanisms that underlie this fundamental cognitive process. Additionally, the research methodology section will detail the methods used to investigate the neural basis of perceptual decision-making, including participant selection, task design, data collection procedures, and data analysis techniques.

The discussion of findings section will present the empirical results of the study, compare these findings to existing literature, and discuss the implications for theory and practice. By exploring the strengths and limitations of the study, as well as potential future research directions, this thesis will contribute to the growing body of knowledge on the neural basis of perceptual decision-making. Finally, the conclusion and summary section will provide a concise summary of the key findings, contributions to the field, and implications for future research and practice.

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