def fixed_assembly_recip_proj(n=100000, k=317, p=0.01, beta=0.05):
b = brain.Brain(p, save_winners=True)
b.add_stimulus("stimA", k)
b.add_area("A", n, k, beta)
# Will project fixes A into B
b.add_area("B", n, k, beta)
b.project({"stimA": ["A"]}, {})
print("A.w=" + str(b.areas["A"].w))
for i in xrange(20):
b.project({"stimA": ["A"]}, {"A": ["A"]})
print("A.w=" + str(b.areas["A"].w))
# Freeze assembly in A and start projecting A <-> B
b.areas["A"].fix_assembly()
b.project({}, {"A": ["B"]})
for i in xrange(20):
b.project({}, {"A": ["B"], "B": ["A", "B"]})
print("B.w=" + str(b.areas["B"].w))
# If B has stabilized, this implies that the A->B direction is stable.
# Therefore to test that this "worked" we should check that B->A restores A
print("Before B->A, A.w=" + str(b.areas["A"].w))
b.areas["A"].unfix_assembly()
b.project({}, {"B": ["A"]})
print("After B->A, A.w=" + str(b.areas["A"].w))
for i in xrange(20):
b.project({}, {"B": ["A"], "A": ["A"]})
print("A.w=" + str(b.areas["A"].w))
overlaps = bu.get_overlaps(b.areas["A"].saved_winners[-22:],
0,
percentage=True)
print(overlaps)
def pattern_com_repeated(n=100000, k=317, p=0.05, beta=0.05, project_iter=12, alpha=0.4,
trials=3, max_recurrent_iter=10, resample=False):
b = brain.Brain(p)
b.add_stimulus("stim", k)
b.add_area("A", n, k, beta)
b.project({"stim": ["A"]}, {})
for i in range(project_iter - 1):
b.project({"stim": ["A"]}, {"A": ["A"]})
subsample_size = int(k * alpha)
rounds_to_completion = []
# pick random subset of the neurons to fire
subsample = random.sample(b.areas["A"].winners, subsample_size)
for trail in range(trials):
if resample:
subsample = random.sample(b.areas["A"].winners, subsample_size)
b.areas["A"].winners = subsample
rounds = 0
while True:
rounds += 1
b.project({}, {"A": ["A"]})
if (b.areas["A"].num_first_winners == 0) or (rounds == max_recurrent_iter):
break
rounds_to_completion.append(rounds)
saved_winners = b.areas["A"].saved_winners
overlaps = bu.get_overlaps(saved_winners, project_iter - 1, percentage=True)
return overlaps, rounds_to_completion