exp / cortical /
BNN Brick Breaker
Biological Neural Network · closed-loop feedback · 100 cycles
speed
BNN — Thinking
IDLE← LEFTRIGHT →
Output layer of the BNN. Left columns = move paddle left, right columns = right. Signal becomes coherent as learning progresses.
Training cycle1 / 100
BNN skill0%
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Rewards
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Punishes
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Cycle
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Total
Feedback — Stimulus
BASELINE● reward (sync)● punish (chaos)
▸ Baseline — sparse spontaneous spiking.
How it learns
⬡Thinking array encodes intended paddle direction as neural firing
↑Paddle hit → reward ripple sent into BNN → STDP strengthens correct pathways
↓Miss → punishment chaos → resets failed synaptic patterns
↻Over 100 cycles the signal becomes increasingly coherent
Training Environment — Brick Breaker
Click "Start Training" to begin
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score
Bricks: 40 / 40ReadyR / P: 0 / 0
Learning Curve — Bricks / Cycle
0 / 100 cyclesLearning curve appears as cycles complete