BME 665 / 565 Students  Spring 2004 
Class home page 


Basic background for the course 


30% 
I have taken a basic cellular neurophysiology course
recently 


90% 
I have taken linear algebra, calculus, and ordinary
differential equations 


100% 
I have taken probability and statistics 



Interest in the course 


70% 
I am interested in doing biophysical modeling of neurons 


90% 
I am interested in information coding in the brain 


70% 
I want a better understanding of the biological principles
underlying neural network modeling 


80% 
I am generally interested in modeling biological systems 


100% 
I want to better understand what role computational
methods can play in neuroscience 


60% 
I want to be able to read the computational neuroscience
literature more effectively 


30% 
It is required for my degree 



Familiarity with course material 



5  Expert 4  Comfortable
with the concept 3  Can define it 2  Have heard of it 1 
Say what? 
2.3 
HodgkinHuxley model 


3.3 
Action potentials 


2.9 
Calcium, potassium and sodium channels 


2.3 
PSP's, PSC's 


2.3 
Integrateandfire neurons, spike
response model 


2.2 
Stochastic firing and rate models 


1.6 
Neuronal oscillations, central
pattern generators 


2.5 
Hebbian learning 


2.0 
Orientation selectivity, ocular
dominance 


2.4 
Temporal coding 


2.8 
Synaptic plasticity 


1.8 
Patch clamping, intra and
extracellular recording 


2.0 
Optical imaging 


3.6 
MATLAB programming 


3.1 
Bayes' theorem 


3.2 
Ordinary differential equations 


3.5 
Fourier transforms 





