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Armando Romani, Srikanth Ramaswamy, Szalbocs Kàli, Audrey Mercer, Judit Planas, Fabien Petitjean, Michael Reimann, Michele Migliori, Werner Van Geit, Felix Schürmann, András Ecker, and Jean-Denis Courcol

Simulation Neuroscience is an emerging approach to integrate the knowledge dispersed throughout the field of neuroscience.

The aim is to build a unified empirical picture of the brain, to study the biological mechanisms of brain function, behaviour and disease. This is achieved by integrating diverse data sources across the various scales of experimental neuroscience, from molecular to clinical, into computer simulations.

In this course, you will gain the knowledge and skills needed to analyze and simulate microcircuit models of the rodent hippocampus.

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Simulation Neuroscience is an emerging approach to integrate the knowledge dispersed throughout the field of neuroscience.

The aim is to build a unified empirical picture of the brain, to study the biological mechanisms of brain function, behaviour and disease. This is achieved by integrating diverse data sources across the various scales of experimental neuroscience, from molecular to clinical, into computer simulations.

In this course, you will gain the knowledge and skills needed to analyze and simulate microcircuit models of the rodent hippocampus.

This course is part of a series of three courses, where you will learn to use state-of-the-art modeling tools of the Human Brain Project Brain Simulation Platform to simulate neurons, build neural networks, and perform your own simulation experiments. We invite you to join us and share in our passion to reconstruct, simulate and understand the brain!

What's inside

Learning objectives

  • Basic properties of the hippocampus
  • Anatomy of hippocampus
  • Properties of the micrcircuit
  • Analysing the connectome
  • Launch, visualize, and analyze network simulations
  • Compute and analyze the local field potential

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by leading experts in neuroscience, this course offers unrivaled insights and expertise
Explores the cutting-edge field of simulation neuroscience, which has the potential to revolutionize our understanding of the brain
Provides hands-on experience with state-of-the-art modeling tools of the Human Brain Project Brain Simulation Platform, empowering learners to conduct their own simulation experiments
Builds a strong foundation for learners interested in pursuing careers in neuroscience or related fields
Offers a comprehensive study of the microcircuit models of the rodent hippocampus, providing a deep understanding of this crucial brain region

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Simulating a Hippocampus Microcircuit with these activities:
Review basic neuroscience concepts
Deepen your understanding of the foundational concepts of neuroscience to lay a strong foundation for the course material and gain a deeper understanding of the hippocampus.
Browse courses on Neuroscience
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  • Review the key principles of neuroscience, including neuron structure and function, neurotransmitters, and brain regions.
  • Familiarize yourself with the basic anatomy and functions of the hippocampus, including its role in memory, navigation, and emotion.
Review Basic Python
Improve your understanding of core concepts to pave the way for more efficient learning.
Browse courses on Python
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  • Revisit Python syntax and data structures.
  • Attempt to solve some simple coding challenges.
Review the basics of neural networks
Review the foundational concepts and theory of neural networks to strengthen your understanding of the course material, particularly in the early weeks.
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  • Read the provided textbook sections on neural networks.
  • Complete the online tutorials for the course on neural networks.
  • Participate in the online discussion forum to ask questions and engage with peers.
Nine other activities
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Follow a tutorial on how to analyze a connectome
Following a tutorial on how to analyze a connectome will help you to understand the structure and function of the hippocampus.
Show steps
  • Find a tutorial on how to analyze a connectome.
  • Follow the steps in the tutorial.
  • Analyze the results of your analysis.
Build a neural network model
Building a neural network model will help you understand the concepts of the hippocampus microcircuit and how to simulate it.
Browse courses on Neural Networks
Show steps
  • Gather data on the hippocampus microcircuit.
  • Design and build a neural network model of the microcircuit.
  • Train the neural network model.
  • Evaluate the performance of the neural network model.
Explore the Human Brain Project Brain Simulation Platform
Become familiar with the tools and resources of the Human Brain Project Brain Simulation Platform to enhance your ability to simulate and analyze neural networks.
Show steps
  • Complete the introductory tutorials provided by the platform to gain a basic understanding of its features and capabilities.
  • Explore the documentation and user forums to learn more about the platform's advanced features and how to apply them in your simulations.
Participate in peer-led tutorials
Enhance your learning through peer interactions and collaboration in a supportive environment.
Show steps
  • Form study groups with fellow students to discuss course concepts, work on assignments, and prepare for exams.
  • Take turns leading the discussions, presenting material, and facilitating group activities.
Practice analyzing neural network architectures
Reinforce your understanding of neural network design and architecture by analyzing various networks and identifying their strengths and limitations.
Show steps
  • Use the provided online tools to analyze different neural network architectures.
  • Participate in the online discussion forum to share your analysis and insights with peers.
  • Complete the assignments on neural network analysis.
Simulate and analyze simple neural networks
Enhance your understanding of neural network simulations by practicing with simple models to develop your skills in model building and analysis.
Show steps
  • Build and simulate simple neural networks using the tools provided by the Human Brain Project Brain Simulation Platform.
  • Analyze the simulation results, including the firing rates of neurons and the overall behavior of the network.
  • Experiment with different network parameters and architectures to observe their effects on the network's behavior.
Build a visual representation of a neural network model
Develop a deeper understanding of neural network models by creating a visual representation, such as a diagram or animation, that illustrates the flow of data and the connections between neurons.
Show steps
  • Choose a neural network model to represent.
  • Design and create a visual representation using tools such as diagrams, animations, or simulations.
  • Present your visual representation to the class or share it with peers for feedback.
Explore advanced topics in neural networks
Expand your knowledge beyond the course material by exploring advanced topics in neural networks through online tutorials, workshops, or research papers.
Show steps
  • Identify an advanced topic in neural networks that interests you.
  • Find relevant online tutorials, workshops, or research papers on the topic.
  • Work through the tutorials or read the research papers to gain a deeper understanding of the topic.
  • Share your findings with your peers or contribute to online discussions on the topic.
Develop a neural network model for a specific application
Apply your knowledge and skills by developing a neural network model to solve a real-world problem or address a specific application.
Show steps
  • Define the problem or application that you want to address.
  • Design the neural network architecture and choose appropriate training data.
  • Train and evaluate the neural network model.
  • Deploy and use the trained model to solve the problem or address the application.

Career center

Learners who complete Simulating a Hippocampus Microcircuit will develop knowledge and skills that may be useful to these careers:
Computational Neuroscientist
Computational Neuroscience is an interdisciplinary field that combines neuroscience, computer science, and mathematics to build computer models that simulate the structure and function of the brain. As a Computational Neuroscientist, you will use these models to study the brain's functions, from basic cellular processes to complex cognitive phenomena such as decision-making and learning. This course in Simulating a Hippocampus Microcircuit is a perfect fit for anyone interested in a career in Computational Neuroscience, as it will provide you with the necessary knowledge and skills to build and analyze computer models of the brain.
Computational Neurobiologist
Computational Neurobiologists use computer models to study the structure and function of the nervous system. This course in Simulating a Hippocampus Microcircuit is a great fit for anyone interested in a career in Computational Neurobiology, as it will provide you with the necessary knowledge and skills to build and analyze computer models of the brain. The course will also teach you how to analyze and interpret experimental data, which is essential for a successful career in Computational Neurobiology.
Cognitive Neuroscientist
Cognitive Neuroscientists study the brain's role in cognition, which includes mental processes such as attention, memory, language, and decision-making. This course in Simulating a Hippocampus Microcircuit may be useful for Cognitive Neuroscientists, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation.
Neurosurgeon
Neurosurgeons operate on the brain and spinal cord to treat a variety of conditions, including tumors, strokes, and aneurysms. This course in Simulating a Hippocampus Microcircuit may be useful for Neurosurgeons, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation. This knowledge may be helpful in planning and performing surgeries on the hippocampus.
Neuroscientist
Neuroscientists study the nervous system, which includes the brain, spinal cord, and nerves. This course in Simulating a Hippocampus Microcircuit may be useful for Neuroscientists, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation. This knowledge may be helpful in conducting research on the hippocampus and other brain regions.
Neuropharmacologist
Neuropharmacologists study the effects of drugs on the nervous system. This course in Simulating a Hippocampus Microcircuit may be useful for Neuropharmacologists, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation. This knowledge may be helpful in developing new drugs to treat neurological disorders that affect the hippocampus.
Neurologist
Neurologists diagnose and treat disorders of the nervous system, which includes the brain, spinal cord, and nerves. This course in Simulating a Hippocampus Microcircuit may be useful for Neurologists, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation. This knowledge may be helpful in diagnosing and treating neurological disorders that affect the hippocampus.
Data Scientist
Data Scientists collect, analyze, and interpret data to help businesses make informed decisions. This course in Simulating a Hippocampus Microcircuit may be useful for Data Scientists, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation. This knowledge may be helpful in developing new data models to help understand neurological disorders that affect the hippocampus.
Physicist
Physicists study the fundamental laws of the universe. This course in Simulating a Hippocampus Microcircuit may be useful for Physicists, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation. This knowledge may be helpful in developing new physical models to help understand neurological disorders that affect the hippocampus.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models to help computers learn from data. This course in Simulating a Hippocampus Microcircuit may be useful for Machine Learning Engineers, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation. This knowledge may be helpful in developing new machine learning models to help understand neurological disorders that affect the hippocampus.
Statistician
Statisticians collect, analyze, and interpret data to help people make informed decisions. This course in Simulating a Hippocampus Microcircuit may be useful for Statisticians, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation. This knowledge may be helpful in developing new statistical models to help understand neurological disorders that affect the hippocampus.
Computer Scientist
Computer Scientists design and develop computer software and systems. This course in Simulating a Hippocampus Microcircuit may be useful for Computer Scientists, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation. This knowledge may be helpful in developing new computer software and systems to help people with neurological disorders that affect the hippocampus.
Mathematician
Mathematicians develop and apply mathematical theories and techniques to solve problems in a wide range of fields. This course in Simulating a Hippocampus Microcircuit may be useful for Mathematicians, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation. This knowledge may be helpful in developing new mathematical models to help understand neurological disorders that affect the hippocampus.
Biomedical Engineer
Biomedical Engineers design and develop medical devices and technologies. This course in Simulating a Hippocampus Microcircuit may be useful for Biomedical Engineers, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation. This knowledge may be helpful in designing and developing new medical devices and technologies to treat neurological disorders that affect the hippocampus.
Electrical Engineer
Electrical Engineers design and develop electrical systems and devices. This course in Simulating a Hippocampus Microcircuit may be useful for Electrical Engineers, as it will provide you with a better understanding of the structure and function of the hippocampus, which is a brain region that is involved in memory and navigation. This knowledge may be helpful in developing new electrical systems and devices to help people with neurological disorders that affect the hippocampus.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Simulating a Hippocampus Microcircuit.
Comprehensive reference on deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Provides a comprehensive overview of different types of neural network models, including their strengths and weaknesses.
Provides a comprehensive overview of the mathematical foundations of machine learning, including linear algebra, calculus, and probability theory.
Provides an overview of the anatomy, physiology, and function of the human hippocampus.

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