Checking date: 20/06/2022


Course: 2022/2023

Neural engineering
(18342)
Study: Bachelor in Engineering Physics (363)


Coordinating teacher: VAQUERO LOPEZ, JUAN JOSE

Department assigned to the subject: Department of Bioengineering and Aerospace Engineering

Type: Electives
ECTS Credits: 6.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
It is recommended to have completed the following courses: - Biophysics 1: Molecular, cell and tissue physical biology - Signals, systems and circuits - Advanced sensors and measurement techniques
Skills and learning outcomes
Description of contents: programme
1. INTRODUCTION TO NEUROPHYSIOLOGY - Neurons, Synapses, Neuronal Circuits, and Central Nervous System - Sensory Systems - Somatosensory System - Motor System - Complex Integrative Functions of the Motor System - Autonomic Nervous System - Vision - Sound and Hearing 2. NEURAL MODELLING - Excitability - Propagating Activity - Channels and Electrical Activity - Nonlinear Dendritic Processing - Neural Models - Neural Information Processing - Neural Tissue Engineering 3. BRAIN IMAGING - Introduction to brain imaging - Magnetic resonance imaging - Electroencephalography - Magnetoencephalography 4. BRAIN NETWORKS - The connectome - Anatomical brain networks - Functional brain networks - Aging and disease 5. BRAIN-COMPUTER INTERFACES - Definition and Structure - Signal Acquisition - Signal Processing - BCI Applications 6. BRAIN-MACHINE INTERFACES - Motor BMI - Decoding Approaches - Neural Signals for Motor BMI - Input-Output Modelling 7. MANAGING INJURIES OF THE NERVOUS SYSTEM - Seizure Prediction - Neural Modulation - Sensory Prostheses - Motor Prostheses
Learning activities and methodology
AF1. THEORETICAL-PRACTICAL CLASSES. Knowledge and concepts students mustacquire. Receive course notes and will have basic reference texts.Students partake in exercises to resolve practical problems. AF2. TUTORING SESSIONS. Individualized attendance (individual tutoring) or in-group (group tutoring) for students with a teacher.Subjects with 6 credits have 4 hours of tutoring/ 100% on- site attendance. AF3. STUDENT INDIVIDUAL WORK OR GROUP WORK.Subjects with 6 credits have 98 hours/0% on-site. AF8. WORKSHOPS AND LABORATORY SESSIONS. Subjects with 3 credits have 4 hours with 100% on-site instruction. Subjects with 6 credits have 8 hours/100% on-site instruction. AF9. FINAL EXAM. Global assessment of knowledge, skills and capacities acquired throughout the course. It entails 4 hours/100% on-site. AF8. WORKSHOPS AND LABORATORY SESSIONS. Subjects with 3 credits have 4 hours with 100% on-site instruction. Subjects with 6 credits have 8 hours/100% on-site instruction. MD1. THEORY CLASS. Classroom presentations by the teacher with IT and audiovisual support in which the subject`s main concepts are developed, while providing material and bibliography to complement student learning. MD2. PRACTICAL CLASS. Resolution of practical cases and problem, posed by the teacher, and carried out individually or in a group. MD3. TUTORING SESSIONS. Individualized attendance (individual tutoring sessions) or in-group (group tutoring sessions) for students with teacher as tutor. Subjects with 6 credits have 4 hours of tutoring/100% on-site. MD6. LABORATORY PRACTICAL SESSIONS. Applied/experimental learning/teaching in workshops and laboratories under the tutor's supervision.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Calendar of Continuous assessment
Basic Bibliography
  • Bin He, editor. Neural Engineering. Springer. 2013
  • Eliasmith, C., & Anderson, C. H.. Neural engineering: Computation, representation, and dynamics in neurobiological systems. MIT Press. 2004

The course syllabus may change due academic events or other reasons.