Unformatted text preview: ate the accumulated difference
100 years to the weight of evidence (see text for details) simply scales the ordinate. The two insets illustrate the correspondence between the weight
to make ofwhere kthe underlying rule:antineuron this ifatk does 1 viewed as hypothetical (normal, equivariate) probability(8)
stimulus
is a constant. Note that two time points, equal the
not
Decision in bans, responsesrearranges to: by the neuron and antineuron up to that
,
pi
evidencepressed neuron and
and
2
hesis x
i
value of that density functions.that h proportionality in Equation 6, thenBgenerated
constantThese is true. If the weightthe distributions of thethe 1number Be process isvalueand a decision is rendered for h .
of functions describe of evidence reaches total at of, spikes the stopped
sensory time point, given
barrier
the
llthat “two This is the is computed h is true. If the weight of evidence reaches to (not shown), a decision for h is issued in error.
value of
that expected outcome when is merely proportional B the weight
1
rtex. We of evidence. Regardless of the value of k, however, the
(Recall) Equation 4, 1is the logistic function (here using
between
.
(4)
Pr(h m)
t, that is
neither
which,speed. Higher barriers meant that of1968; 1 and10 B1975; Luce, 1986; Ratcliff and
like
le (x
tween accuracy and
Link
ence
algorithm for updating the weight
evidenceHeath,the
is
ght, when more evidence was e ). Unlike in turn, implied Rouder, 1998; Stone, 1960; Usher and McClelland, 2001;
base accumulated, which, in Equation 4, however, the probability
0 0 1 2 1 1 0 0 1 1 1 1 1 0 time measured
pothesis after all the by the neuron and antineuron up to that
tions of the total number of spikes generated evidence has been sampled, and
hm (Good, barrier at 0B, andprocess are called the decision is rendered for h1.
e reaches theReview Pr(h ) the Pr(h1) is stopped and a prior probabilities and
were used 303 reaches B (not shown), a decision for h0hypothesiserror.
Banburismus Performed by befor...
View
Full
Document
This note was uploaded on 09/15/2011 for the course COGS 1 taught by Professor Lewis during the Spring '08 term at UCSD.
 Spring '08
 LEWIS

Click to edit the document details