A black box neuron that allows students to discover how neurons work by injecting current, adding drugs, and performing voltage clamp exps.

다운로드 수: 21

업데이트 날짜: 2021/3/8

GitHub에서 호스트

GitHub에서 라이선스 보기

Neurons are complex dynamical machines and you can read all about the amazing ways in which they work in a textbook. But how do we know this? How did the scientists who discovered this figure it out? In this six week project, we will don the hat of the intrepid explorer and discover for ourselves the secrets of neurons and spikes using in-silico cells that we can play with on our computers. Our neuron, like many other seemingly mysterious things in the universe, is an Oracle, and will answer any question we ask of it. Like the Oracle of Delphi, its answers can be cryptic and apparently contradictory, and we will learn the art of asking carefully worded questions that will compel the sibylline cell to reveal to us beautiful and intricate mechanisms at the heart of how it behaves.

Because neurons don’t speak English (or Greek), our questions to it will have to be posed as experiments and manipulations, and we will have to learn to interpret its responses correctly. Each week, we’ll do a new set of experiments to fill in the blank spaces in our mental map of how this neuron works. We’ll learn not just the secrets of this particular neuron, but also general principles in neuroscience and physics, and we will arm ourselves with the tools to crack open other knotty problems as we encounter them in the future.

인용 양식

Srinivas Gorur Shandilya (2023). BlackBoxNeuron (, GitHub. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2019b
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!























버전 게시됨 릴리스 정보

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.