2: Resistor Capacitor Circuit and Nernst Potential - Intro to Neural Computation

MIT 9.40 Introduction to Neural Computation, Spring 2018
Instructor: Michale Fee

Covers how neurons respond to injected currents, membrane capacitance and resistance, the Resistor Capacitor (RC) model, and where the 'batteries' of a neuron come from.

License: Creative Commons BY-NC-SA

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[timozomerman]

Extremely lucid explanation. Amazing that it's available for anyone.

[romyaiken]

This is the first time the circuit model of a neuron has really made sense to me (, :

[RJ-jgvl]

god, this is soooo well explained! I feel so gratefull, that this is free for everyone :)

[krishnendubose]

Hey MITOCW, do you have any future plans of uploading BCS Course 9.66 Computational Cognitive Science by Joshua Tenenbaum?

[kadiyamsrikar]

Thanks for uploading such valuable content

[demarderozaan]

Bonjour mes amis
Je voulais savoir est-ce que vous n'avez pas faire la rediffusion en chimie aussi

[joshn]

Really clear explanation of the Boltzmann eq but I thought the circuit discussion was rather imprecise and confusing.

[nikolaykolev]

Real knowledge treasure! Fortunate that is accessible.

[moklausson]

...Title has a wee typo, it's Nernst potential. (very nice lectures!)

[АлександрКабанец-хз]

Kirchoff's law holds only for nodes, that have at least three wires converginig in it. Am I right? If so, there is a necessity of presence third term when we calculated an amount of charge, needed for changing capacitor potential.

[med-studentedition]

I am extremely relieved to have found this knowing that it took me an insanely long time to understand this

[theother]

Can the students NOT say "like" in almost every question?