This lesson clarifies how calculus relates to optimization in a data science context.
This lesson covers Big O notation, a mathematical notation that describes the limiting behavior of a function as it tends towards a certain value or infinity, proving useful for data scientists who want to evaluate their algorithms' efficiency.
This lesson serves as a primer on the fundamental concepts underlying probability.
Serving as good refresher, this lesson explains the maths and logic concepts that are important for programmers to understand, including sets, propositional logic, conditional statements, and more.
This compilation is courtesy of freeCodeCamp.
This lesson provides a useful refresher which will facilitate the use of Matlab, Octave, and various matrix-manipulation and machine-learning software.
This lesson was created by RootMath.
This lecture covers the history of behaviorism and the ultimate challenge to behaviorism.
This lecture covers various learning theories.
How does the brain learn? This lecture discusses the roles of development and adult plasticity in shaping functional connectivity.
This lesson provides an overview of how to construct computational pipelines for neurophysiological data using DataJoint.
This lesson covers the ionic basis of the action potential, including the Hodgkin-Huxley model.
This lesson provides an introduction to the myriad forms of cellular mechanisms whicn underpin healthy brain function and communication.
In this lesson you will learn about the ionic basis of the action potential, including the Hodgkin-Huxley model.
This lesson provides an introduction to the course Cellular Mechanisms of Brain Function.
This lesson covers membrane potential of neurons, and how parameters around this potential have direct consequences on cellular communication at both the individual and population level.
This lesson covers the spatiotemporal dynamics of the membrane potential.
In this lesson you will learn about neurons' ability to generate signals called action potentials, and biophysics of voltage-gated ion channels.
This lesson discusses voltage-gating kinetics of sodium and potassium channels.
In this lesson, you will learn about the ionic basis of the action potential, including the Hodgkin-Huxley model.
This lesson delves into the specifics of how action potentials propagate through individual neurons.
In this lesson, you will learn about neurotransmitter release in the presynaptic specialization.