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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.
Assessment
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.
Certification
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Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
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 | ||
| Assessment | |||
| Submit Your Assignment | 00:00:00 | ||
| Certification | 00:00:00 | ||
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