Neuroscience: Fundamental Principles to Computational Synapses
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Course Overview
This intensive one-month program delves into the core principles of neuroscience, from the basic anatomical and functional organization of the nervous system to advanced computational models of synapses. Participants will engage with topics such as neural signal processing, synaptic transmission, and neural network modeling, using both theoretical frameworks and hands-on computational tools. The course is designed not only to provide foundational knowledge but also to stimulate innovative thinking and practical applications in computational neuroscience, preparing participants for advanced research or careers in this dynamic field.
Program Syllabus
Module 1
About
This intensive one-month program delves into the core principles of neuroscience, from the basic anatomical and functional organization of the nervous system to advanced computational models of synapses. Participants will engage with topics such as neural signal processing, synaptic transmission, and neural network modeling, using both theoretical frameworks and hands-on computational tools. The course is designed not only to provide foundational knowledge but also to stimulate innovative thinking and practical applications in computational neuroscience, preparing participants for advanced research or careers in this dynamic field.
Module 2
Aim
To explore the intersection of neuroscience and computational technology, providing a comprehensive foundation in how neural mechanisms underpin behavior and cognitive processes and their computational modeling. The program aims to equip participants with both theoretical knowledge and practical skills to innovate in the field of computational neuroscience.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Neuroscience: Fundamental Principles to Computational Synapses
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
Program Objectives
- A strong foundation in both theoretical and empirical aspects of neuroscience.
- Advanced knowledge in computational methods used to model and analyze neural systems.
- The ability to apply computational skills to solve problems in neuroscience research.
Module 4
Program Structure
Module 5
Week 1: Introduction to Neuroscience
- Structure and function of neurons, including basic neurochemistry.
- How neurons communicate through synapses, including neurotransmitters and synaptic plasticity.
- Overview of the central nervous system and peripheral nervous system.
- Introduction to MRI, fMRI, and PET scans.
Module 6
Week 2: Electrical Properties of Neurons
- Understanding the ionic basis of action potentials.
- How action potentials are propagated along neurons.
- A quantitative description of the ionic basis of the action potential.
- Simulating neuronal behavior (Software: NEURON).
Module 7
Week 3: Advanced Topics in Synaptic Transmission
- Mechanisms of short-term and long-term potentiation.
- Roles of different neurotransmitters and their links to neurological disorders.
- Understanding deep brain stimulation and transcranial magnetic stimulation.
- Modeling synapses using computational tools (Software: GENESIS).
Module 8
Week 4: Integrative Neuroscience
- How individual neurons form complex networks.
- Basics of neural networks in the brain and in artificial intelligence.
- Introduction to technologies that integrate neural networks with computer systems.
- Discussion of case studies using MATLAB for analyzing neural data.
Module 9
Intended For
- Undergraduate or graduate students in Neuroscience, Biology, Psychology, or Computer Science.
- Professionals working in biotechnology, pharmaceutical industries, or academic research who wish to integrate computational methods into their neuroscience projects.
- Enthusiasts with a strong background in mathematics or programming interested in exploring brain function.
Module 10
Program Outcomes
- Understand the fundamental principles of neural behavior and signal transduction.
- Gain proficiency in computational modeling techniques for synapses and neural networks.
- Develop the ability to apply machine learning techniques to neuroscience data analysis.
- Enhance skills in interpreting complex biological data through computational simulations.
- Prepare for advanced research or professional roles in computational neuroscience.
Module 11
Fee Structure
Standard Fee: INR 8,998 USD 198
Discounted Fee: INR 4499 USD 99
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesModule 12
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