% NE204 - Lab 10: The shunting equation.
% In this lab, we will build a series of models attempting to
% capture brightness constancy. We'll see that an additive competitive
% network model is insufficient. By building a shunting competitive
% network, we
% NE204 - Lab 9: Modeling neural networks.
% In this lab, we will construct neural network models. We'll start
% with a binary neuron, and consider a binary model of negation. For those
% interested, please find in Part 5 an introduction to a continuous n
% NE204 - Lab 7: The Hodgkin-Huxley neuron.
% In this lab, we will study of the Hodgkin-Huxley (HH) model
% neuron. We will simulate the full model to understand how the voltage
% and different gating variables evolve in time.
% Text prec
% NE204 - Lab 6: Geometric analysis of LIF and quadratic LIF model neurons.
% In this lab, we will continue our study of the integrate and
% fire (I&F) model neuron. We will also consider the quadratic
% IF model. We'll consider the phase space of both mo
% NE204 - Lab 5: The integrate and fire neuron.
% In this lab, we will study the integrate and fire (I&F) model neuron. We
% will simulate this model in MATLAB, and get a sense for how it behaves.
% We'll also manipulate the model a bit, and gain some int
% NE204 - Lab 3: Characterizing spike train data.
% In this tutorial, we will apply some tools to characterize the
% properties of spike train data. We will begin by reading spike train
% data into MATLAB, and then compute the mean number of spikes per tr
% NE204 - Lab 2: MATLAB Tutorial (part 2)
% In this tutorial, we will continue to learn the basics of MATLAB. We
% will use MATLAB throughout this course. And, you'll probably find
% MATLAB useful in other courses here at BU, and the programming ideas
% NE204 - Lab 1: MATLAB Tutorial.
% In this tutorial, we will learn the basics of MATLAB. We will use MATLAB
% throughout this course. And, you may find MATLAB useful in other
% courses here at BU, as well as throughout your career.