Course detail

Neuromorphic structures: theory and engineering

CEITEC VUT-DS223Acad. year: 2024/2025

This course delves into the interdisciplinary field of neuromorphic engineering, which involves the design inspired by the structure, function, and dynamics of the human brain.

Main chapters:

Introduction to Neuromorphic Engineering:

Overview of neuromorphic systems

Comparison with traditional computing paradigms

Neuroanatomy and physiology

Synaptic dynamics and plasticity

Neuronal signaling and network models

Computational neuroscience principles

Analog vs. digital neuromorphic circuits

Spiking neural networks

Memristors and other novel devices

Hybrid modeling approaches

Neuromorphic Architectures

Energy-efficient designs

Scalability and integration challenges

Sensory processing (vision, audition)

By the end of the course, students will:

Understand the fundamental principles of neuromorphic engineering.

Be able to design and implement basic neuromorphic systems.

Explore the potential applications and limitations of neuromorphic technologies

 

Language of instruction

Czech

Mode of study

Not applicable.

Entry knowledge

Master’s degree or equivalent.

Basic knowledge of solid state physics.

Familiarity with electronic circuits and digital systems.

 

Rules for evaluation and completion of the course

Video Project Exam

Content accuracy: 60 points.

Organization of presentation, logical flow, explanations: 30 points.

Visuals and innovative approaches to explain concepts: 10 points.

Minimum to pass the subject: 70 points.

 

Aims

Not applicable.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Parker, A. C.. C. Neuromorphic Circuits a constructive approach. (2023). Iop Publishing Ltd (November 9, 2023). ISBN: ‎ 978-0750350952 (CS)
Wan, Q. & Shi, Y. Neuromorphic devices for brain-inspired computing: artificial intelligence, perception and robotics. ‎ Wiley-VCH; 1st edition (May 16, 2022). ISBN: ‎ 978-3527349791. (CS)

Recommended reading

Not applicable.