Found a similar question that had choices, here are the choices:
a.Specific neurons that respond to round, square or irregular shapes do not integrate their signals to recognize multi-shaped objects.
b. It accounts only for the recognition of simple two dimensional shapes, not more complex three-dimensional shapes.
c.Feature detector neurons have been found in non-human primates, but not in humans themselves.
<span>d. It does not account for the fact that our expectations influence what we see.
My answer:
d. It does not account for the fact that our expectations influence what we see.
We all have different expectations, thus, our view on certain object is subjective. It is a product of said expectations. </span>
Answer:thats is so easy obviously 69
Explanation:
Answer:
def newton(n):
#Define the variables.
t = 0.000001
esti = 1.0
#Calculate the square root
#using newton method.
while True:
esti = (esti + n / esti) / 2
dif = abs(n - esti ** 2)
if dif <= t:
break
#Return the result.
return esti
#Define the main function.
def main():
#Continue until user press enters.
while True:
try:
#Prompt the user for input.
n = int(input("Enter a number (Press Enter to stop):"))
#display the results.
print("newton = %0.15f" % newton(n))
except:
return
#Call the main function.
main()
Answer:
The fill handle copies the same values, formulas, or fills a series of dates, texts, numbers, and other data to a desired number of cells. ... Click and hold the handle, then you can drag up, down, across over other cells. When you release your mouse button, it auto-fills the content to the cells you dragged over.
def min(x,y):
smallest = x
if y < smallest:
smallest = y
return smallest
x = min(2,1)
print("The min is "+str(x))
Although I wouldn't recommend using the name min for a function because min is the name of an existing function. Best of luck.
