Run by School of Psychology
20 Credits or 10 ECTS Credits
Organiser: Dr Katja Kornysheva
Overall aims and purpose
The module aims to introduce students to the theoretical principles and technical advances in applied neuroscience leading to new rehabilitation interventions and clinical assessment tools, the enhancement of human performance, and the design of new technology.
The module aims to introduce students to the theoretical principles and technical advances in applied neuroscience. It will expose the students to the theory of applied and use-inspired basic research, neural modules and computations to enhance learning and performance, rehabilitation neuroscience, with a focus on restoring sensory and motor functions, and language. Moreover the module will cover brain stimulation methods (TMS, tDCS, tACS) as clinical diagnostic and treatment tools, principles of neuro- and biofeedback, brain-computer interfaces and user-inspired technological and product design (neuroergonomics).
C- to C+
C+ to C- (satifactory) • Knowledge of key area/principles • Understands the main elements of the subject area • Limited evidence of background study • Answer focused on question but with little irrelevant material, & weaknesses in structure • Arguments presented but lack coherence • Has several factual/computational errors • No original interpretation • Only major links between topics are described • Limited problem solving • Minor weaknesses in presentation & accuracy
B+ to B- (good) • Strong Knowledge • Understands most but not all of subject area • Evidence of background study • Focused answer with good structure • Arguments presented coherently • Mostly free of factual/computational errors • Some limited original interpretation • Well known links described between topics • Problems addressed by existing methods/approaches • Good presentation, accurate communication
D+ to D- (threshold) • Knowledge of key areas/principles only • Limited evidence of background study • Answer only poorly focused on question & with some irrelevant material & poor structure • Attempts to present relevant and coherent arguments • Has several factual/computational errors • No original interpretation • Only major links between topic are described • Limited problem solving • Many weaknesses in presentation & accuracy
A* to A- (excellent) Comprehensive knowledge • Detailed understanding of the subject area • Extensive background study • Highly focused answer & well-structured • Logically presented & defended arguments • No factual/computational errors • Original interpretation • New links to topic are presented • New approach to a problem • Excellent presentation with very accurate communication
- Ability to critically discuss how basic and applied science relate to one another.
- Ability to critically evaluate the fundamental principles underlying best practice in translational neuroscience.
- Ability to summarize the different neural systems and computational mechanisms of human learning and how they can be harnessed to improve performance.
- Ability to critically and comprehensively discuss the strengths and limitations of different approaches to enhance human performance using applied neuroscience.
|GROUP PRESENTATION||Discussion leading||
Each student will lead a discussion session on a selected topic.
Group members must grade teamwork contribution for each member within their group. Mean score for each group member will be used to modify the overall project grade for that individual, e.g. if a score of 10 is awarded then overall project grade will not be modified; if a score of 8 is given, then that group member will receive only 80% of the overall project grade (in this case, a B (65%) will become a C- (52%)), and so on.
Students will be informed about this rating procedure at the beginning of the module.
Discussion of theoretical principles of applied neuroscience and a critical evaluation of a selected example of a neurorehabilitation approach, neurofeedback, neural stimulation, BCI, behavioural training technique or new technology.
Teaching and Learning Strategy
160h, amounting to 11h of private study per week.
Lecture (22h) and Discussion (8h). 2h lectures per week with an option to discuss and clarify specific subtopics with the Lecturer teaching the respective topic, one-to-one or in small groups in 8 drop-in sessions.
- Literacy - Proficiency in reading and writing through a variety of media
- Computer Literacy - Proficiency in using a varied range of computer software
- Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
- Exploring - Able to investigate, research and consider alternatives
- Information retrieval - Able to access different and multiple sources of information
- Inter-personal - Able to question, actively listen, examine given answers and interact sensitevely with others
- Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.
- Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.
- Teamwork - Able to constructively cooperate with others on a common task, and/or be part of a day-to-day working team
- Argument - Able to put forward, debate and justify an opinion or a course of action, with an individual or in a wider group setting
- Self-awareness & Reflectivity - Having an awareness of your own strengths, weaknesses, aims and objectives. Able to regularly review, evaluate and reflect upon the performance of yourself and others
Subject specific skills
- Understand the scientific underpinnings of applied and translational neuroscience.
- Communicate different models of how basic and applied neuroscience relate to one another - both in the unidirectional model, and viewing consideration-of-use and quest-for-fundamental-principles as orthogonal dimensions (“Pasteur’s quadrant”).
- Evaluate how the knowledge of parallel computational and neural principles involved in human learning and performance can be used to enhance human learning and performance.
- Critically appraise how the principles of basic neuroscience can be applied to developing new human-machine interfaces and technological advancements.
- Understand how the principles of basic science can be applied to developing new rehabilitation interventions and clinical assessment practices, and to evaluating their short and long-term efficacy.
- Reason scientifically and demonstrate understanding of the relationships between theory and evidence.
Pre- and Co-requisite Modules
Courses including this module
Optional in courses:
- 6S26: BSc Neuropsychology year 3 (BSC/NI)
- C8BY: MA Psychology year 1 (MA/PSYCH)
- C8BZ: MRes Psychology year 1 (MRES/PSYCH)
- C8EF: MSc Clinical and Health Psychology year 1 (MSC/CHPSY)
- C8DX: MSc Counselling year 1 (MSC/CNSL)
- C8CU: MSc Neuroimaging year 1 (MSC/N)
- C8EG: MSc Principles of Clinical Neuropsychology year 1 (MSC/PCNP)
- C8DU: MSc Psychology year 1 (MSC/PSY)
- C8AL: MSc Psychological Research year 1 (MSC/PSYRES)