Giszter II

Question 1

Shannons communication theory

Answer 1

noise makes recieved different than sent
information is a reduction of uncertainty
bits as a reduction of uncertainty by half
channel capapcity in bits/sec

Question 2

relationship btwn info and uncertainty

Answer 2

Log2(x) when x is the number of options is entropy - is like orignial uncertainty like how many total options
x=2^y and y is in bits
Info gained = entropy - final uncertainty
more variables more uncertainty
log2(1)= 0 when you narrow it down to one choice for final uncertainty

Question 3

Rate code

Answer 3

frequency
number of spikes over time
pattern doesnt matter just like how many spikes happened in 10 seconds

Question 4

interval code

Answer 4

pattern
based on pattern of intervals
theoretically encodes more than rate

Question 5

problems with info/communication theoru

Answer 5

many possibilities
unkown meanings
hidden layers
subthreshold information
refractory periods 
signal to noise ratio

Question 6

black box system

Answer 6

for system identification
put in inputs and and use outputs to know whats happening
white noise is good input cuz its like everything to see what might stick
low pass lets low through (low one is flatttest)
high pass lets high through
band is whena speiccif range getst thru
but doesnt have to be a linear one like those

Question 7

rasters

Answer 7

stimulate neuron in several trials, using responses to see an average of events

Question 8

peristimulus time histograms

Answer 8

bins add up slices
x is time
y is count/bin, prob/bin, or intensity/bin
assume stationarity

Question 9

PETHs parts

Answer 9

A is baseline height
B is peak max
C is time peak onset latency (time from stim to sig above A)
D is peak duration (from sig above A to A)
E is Peak latency (stim to B)

Question 10

binning problem

Answer 10

if theres a lot of spikes hard to find features
too few spikes gets lots of variation
bin choice is hard

Question 11

noise removal

Answer 11

smooth it with filter

kernel estimations

Question 12

interspike interval hist

Answer 12

spike reference not stim
freq dist of time btwn spikes
small features confusin

Question 13

autocorrelation histogram

Answer 13

spike train related to self
symmetry around 0 lag point because has positive and negative time info
rhythms

Question 14

cross correlation histogram

Answer 14

spike train to spike train
not symmetrical
coupling via gap junctions

Question 15

short interspike intervals

Answer 15

pre side : pairs pulse and also affects vessicles left over
post: temporal summation
catch mechanism is when short itme causes double spike to force contraction to mass exertion