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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
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Posts
Exploring the Intersection of AI and Neuroscience: Top YouTube Channels and Courses to Follow
Published:
The fusion of artificial intelligence (AI) and neuroscience is one of the most exciting frontiers in modern science. Understanding how the brain works can inspire more efficient AI models, while AI can, in turn, help decode complex neural processes. If you’re interested in exploring this interdisciplinary field, YouTube offers a wealth of knowledge through expert-led discussions, research presentations, and deep-dive explanations. Additionally, several online courses provide structured learning for those looking to develop expertise in AI and computational neuroscience. Here are some of the best YouTube channels and courses to follow:
Neuroscience Exploring the Brain - Part one - Chapter 1
Published:
The first chapter of Neuroscience: Exploring the Brain provides an overview of the history, key concepts, and modern advancements in neuroscience. It traces the study of the brain from ancient Greek and Roman perspectives, through Renaissance and 19th-century discoveries, to the rise of modern neuroscience as an interdisciplinary field. Key milestones include the understanding of nerves as electrical conductors, the localization of brain functions, Darwin’s evolutionary insights, and the identification of neurons as fundamental units of the nervous system. The chapter also discusses contemporary neuroscience, which spans molecular, cellular, systems, behavioral, and cognitive levels of analysis. The role of neuroscientists, the scientific process, and the ethical considerations surrounding animal research are explored. Finally, the chapter highlights the devastating impact of neurological and psychiatric disorders, emphasizing the importance of neuroscience research in developing treatments and advancing our understanding of the brain.
Parts of Neuroscience Exploring the Brain Book
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After reading this post, you can expect to gain an overview of the key topics covered in Neuroscience: Exploring the Brain. The post provides a structured breakdown of the book, outlining its four main parts: foundational concepts in neuroscience, sensory and motor systems, brain-behavior relationships, and brain plasticity. You will learn about essential subjects such as neuron function, neurotransmitter systems, sensory processing, motor control, emotions, sleep, consciousness, and memory. This summary serves as a guide to understanding the book’s content, helping readers navigate complex neuroscience topics with clarity.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Python Lecturer - Intermediate Python Course
Graduate and Undergraduate course, Students Scientific Chapter of Physics Department, Yazd University, 2019
- Collaborated with the Physics Association to develop and teach a comprehensive Python course, emphasizing its application in solving mathematical and physics problems.
Python Lecturer – Advanced Python Course
Graduate and Undergraduate course, Students Scientific Chapter of Computer Engineering Department, Yazd University, 2019
- Developed and taught a comprehensive Python course in collaboration with the Computer Engineering Association, focusing on new Python versions and their capabilities.
- Pioneered Python training at the Computer Engineering Faculty of Yazd University, educating 3 master’s students and 25 undergraduate students.
Teaching Assistant - Internet Engineering
Undergraduate, Department of Computer Engineering, Yazd University, 2020
- Designed and graded assessments for 32 students, ensuring alignment with course objectives and providing detailed feedback.
- Led supplemental sessions, offering personalized support to enhance student understanding.
Educational Program Lead – Data Science Summer School
Department of Education, Hamrah Academy, 2023
- Designed, managed, and coordinated data science educational programs by collaborating closely with university professors and industry experts to develop high-quality, research-oriented course content aligned with academic and industry standards.
- Supervised course development, including lecture recordings, curriculum updates, and assessment design.
- Led the creation and evaluation of quizzes and final projects, ensuring academic rigor and industry relevance.
Head Teaching Assistant – Graduate Artificial Intelligence
Graduate course, College of Interdisciplinary Science and Technology, University of Tehran, 2025
- Led a team of Teaching Assistants for a graduate-level Artificial Intelligence course, managing 22 Master’s students and assisting with lectures on topics such as Search and Constraint Satisfaction, Adversarial Search, and Machine Learning.
- Coordinated weekly assignments, quizzes, and exams, while providing individual support to students and assisting with grading homework, quizzes, and the midterm exam.
- Facilitated communication between students and faculty, addressing inquiries, providing feedback, and supporting the preparation of the final exam.