Course manual 2025/2026

Course content

The  course Neuroscience: From Cell to Behaviour provides students with up-to-date insight into fundamental aspects of brain function in various organisms, predominantly rodents and humans, and with a focus on theory, experimental approaches, and interpretation and translatability of findings to the human situation.

In this course we will discuss molecular and cellular determinants of brain function and brain structure. Important topics include cellular activity and synaptic plasticity. We will then use this specific knowledge of neuroscience and learn more about cellular and systemic processes that underlie behaviour. Finally, we will discuss how environmental variables can influence behaviour and even induce disease states. We will also discuss the validity of animal models, the challenges of reproducibility and the importance of sharing negative results.

During the course, students will be introduced to a wide variety of experimental methods and techniques that are relevant for preclinical and/or clinical behavioural neuroscience. As preclinical research is still key to providing us with insight into molecular (mal)adaptations underlying (aberrant) behaviour, we will also discuss advantages and disadvantages of both clinical and preclinical research, the current “crisis” of translatability in preclinical research, and (personal) challenges that topic experts experienced. 

Study materials

Literature

  • Articles provided by guest lecturers (provided via Canvas)

Objectives

  • Understand the promises and pitfalls of (translational) research for human health and disease
  • Identify important molecular and cellular substrates of behaviour
  • Understand how these substrates are causally and reciprocally linked to behaviour
  • Critically assess various theories, experiments and their interpretation in (cognitive) neurobiology
  • Be able to communicate the findings of a complex scientific publication to peers in presentation form

Teaching methods

  • Self-study
  • Lecture
  • Presentation/symposium
  • Seminar
  • Fieldwork/excursion
  • Supervision/feedback meeting

Lectures provide fundamental knowledge and a deeper look into how knowledge about the neuroscientific study of behavior is constructed and experienced. Designing and performing a presentation for peers about a complex data article will test the student's insight and ability to communicate about research (quality).

Learning activities

Activity Hours
Lectures 40
Excursion 4
Written exam 3
Presentation 14
Self-study 79
Total 140 (5 ECx28 hrs)

Attendance

  • Some course components require compulsory attendance. If compulsory attendance applies, this will be indicated in the Course Catalogue which can be consulted via the UvA-website. The rationale for and implementation of this compulsory attendance may vary per course and, if applicable, is included in the Course Manual.
  • Additional requirements for this course:

    When a student cannot attend a practical or other activity due to illness, the course coordinator should always be informed as soon as possible. In all other scenarios, the student should request permission from the course coordinator to miss a practical or an other activity. 

    Assessment

    Item and weight Details

    Final grade

    1 (100%)

    Tentamen

    A Day-test is a ‘closed-book exam’, i.e. no handwritten notes, books and electronic equipment are allowed. Phones and laptops/iPads in your bag.

    The final exam is a ‘closed-book exam’, i.e. no handwritten notes, books and electronic equipment are allowed. Phones and laptops/iPads in your bag. When a 5.4 or lower is scored for the final exam, this wil result in a resit. 

    Assignments

    • Day-test grade: Highlights lectures by guest lecturers end with a day-test with multiple-choice questions which you answer in writing. This is graded individually. The average of all five (5) daytests makes up the final day-test grade.
    • Presentation: each student will work on one topic (provided by the course organizer) resulting in one oral presentation per student. This is graded individually. 
    • Final exam: each student will do a final exam, with open and multiple-choice questions, which you answer in writing. This is graded individually. 

    Fraud and plagiarism

    The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl

    Course structure

    See Canvas for course structure and assignment details.

    Additional information

    To prepare for the course, we recommend perusing (parts of) the following readings

    • Principles of Neuroscience: Kandel, Schwartz, Jessel
    • Cognitive Neuroscience: Gazzaniga
    • Biological Psychology: Kalat

    Use of GenAI in MBCS

    Within the Research Master Brain and Cognitive Sciences, you are generally allowed to use Generative AI (GenAI) to support your learning process. For example, you can use large language models (LLMs) to help your self-study by generating flashcards, or generating explanations of concepts. You do so at your own risk:  an LLM may generate inaccurate or incomplete information for your studies. You are never allowed to use GenAI to generate work that you will hand in as an assignment, unless the assignment description explicitly allows you to do so.

    Note: GenAI should be a support tool to help you reach the course's learning objectives, not a system to which you delegate activities that are meant to promote your learning. The course examiner has final say on which use cases are permissible or not within their course.

    Never share personal information, research data, or course materials with a GenAI system, except for UvA AI Chat (https://aichat.uva.nl/). This UvA-hosted system was built with GDPR compliance and data security in mind. If you are in doubt about sharing information, don't share. You can always check with your course coordinator whether any intended use case is responsible.  

    Teachers are never allowed to use GenAI to grade your work. They may, however, use it to formulate their feedback.

    Course-specific rules on GenAI use

    Within this specific course, permissible GenAI use is limited to:

    • Supporting your self-study (e.g. by summarising articles, testing your understanding or generating explanations)

    Last year's student feedback

    In order to provide students some insight how we use the feedback of student evaluations to enhance the quality of education, we decided to include the table below in all course guides.

    Neuroscience: From Cell to Behaviour (5EC) 9  
    Strengths
    • Very instructive course
    • Academically challenging
    • Activating teaching
    • Well-structured
    • High level
    • Strongly engaged and good course coordinator
    Notes for improvement
    • Level of excursion could be higher
    • Preparation for the final exam could be optimized.  
    • Day quests varied in terms of quality, due to diversity of guest lecturers
    Response lecturer:
    • The excursion will be organized differently this year. Preparation for the final exam will be improved by providing and discussing (open) practice exam questions. 

    Contact information

    Coordinator

    • dr. J.D. Mul

    Staff

    • dr. J.D. Mul
    • dr. V. Gazzola
    • M.H. Hardonk MSc
    • prof. Helmut Kessels
    • dr. H.J. Krugers
    • prof. dr. P.J. Lucassen
    • dr. Marlies Oostland
    • dr. Nathan marchant