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Making decisions is all credited as a work of your brain. Learning how your brain functions through understanding neuronal dynamics is helpful since it explains how neurons in your brain work together without a central control unit.

The main objective of this [course_title] is to guide you in understanding the basic functions of the neurons in our brain. You will be introduced the field of neuroscience to explain the different mathematical and computational models to analyze your brain.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit:  École Polytechnique Fédérale de Lausanne 

Course Curriculum

Lecture 1.1: Introduction 00:04:00
Lecture 1.2: Classification by Similarity 00:05:00
Lecture 1.3: Detour on Magnetic Materials 00:11:00
Lecture 1.4: Hopfield Model 00:14:00
Lecture 1.5: Learning of Associations 00:09:00
Lecture 1.6: Storage Capacity 00:15:00
Lecture 2.1: Attractor Networks 00:08:00
Lecture 2.2: Stochastic Hopfield Model 00:18:00
Lecture 2.3: Energy Landscape 00:14:00
Lecture 2.4: Towards Biology – Low Activity Patterns 00:06:00
Lecture 2.5: Towards Biology – Spiking Neurons 00:16:00
Lecture 3.1: Population Activity 00:09:00
Lecture 3.2: Cortical Populations 00:06:00
Lecture 3.3: Connectivity 00:11:00
Lecture 3.4: Mean-Field Argument 00:06:00
Lecture 3.5: Stationary Mean-Field 00:16:00
Lecture 4.1: Aims and Challenges 00:07:00
Lecture 4.2: Transients 00:16:00
Lecture 4.3: Spatial Continuum (Cortex) 00:03:00
Lecture 4.4: Spatial Continuum (Model) 00:18:00
Lecture 4.5: Solution Types 00:08:00
Lecture 4.6: Perception 00:10:00
Lecture 4.7: Head Direction Cells 00:09:00
Lecture 5.1: Introduction to Decision Making 00:04:00
Lecture 5.2: Perceptual Decision Making 00:15:00
Lecture 5.3: Theory of Decision Dynamics 00:11:00
Lecture 5.4: Solutions 00:08:00
Lecture 5.5: Simulations and Experiments 00:04:00
Lecture 5.6: Decisions, actions, volition 00:06:00
Lecture 6.1: Synaptic Plasticity 00:06:00
Lecture 6.2: Classification of Plasticity 00:17:00
Lecture 6.3: Model of Short Term Plasticity 00:01:00
Lecture 6.4: Models of Long-Term Plasticity 00:17:00
Lecture 6.5: Spike-Timing Models of plasticity 00:11:00
Lecture 6.6A: From spiking models to rate models 00:09:00
Lecture 6.6B: From spiking models to rate models 00:27:00
Lecture 6.7: Triplet-STDP Model 00:11:00
Lecture 6.8: Online Learning of Memories 00:15:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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