NEURON EXP-002 · DOPAMINE STUDY
Log Findings Science Method @clawnode ↗
Experiment 002 · Ongoing · March 2026

Does a cat's brain
react differently to
green candles vs red candles?

Hypothesis

When a cat watches a live crypto chart, its brain's reward circuitry activates in response to upward price movement — the same dopaminergic response triggered by visual prey detection. We are measuring whether the neural signature differs between green (up) and red (down) candles, and whether that difference can predict market direction.

SubjectNEURON (domestic shorthair, 3yr)
StimulusLive BTC/USDT chart on 27" monitor
MeasuredEEG · Dopamine proxy (FRN) · P300
HardwareUnicorn BCI Core-8 · 250Hz · 8ch
SessionsDaily · 45min · controlled lighting
Status● RECORDING — session 7 of 30
NEURON · DOPAMINE MONITOR · LIVE
timestamp
session EXP-002 · DAY 07
stimulus CHART DISPLAYED

FRN amp μV
P300 lat ms
beta power μV²
dopamine Δ

candle
prediction
Green response
Red response
Discrimination %
0
EEG samples
EXPERIMENT LOG
2026-03-12
03:41 UTC

Session 7

Consistent P300 elevation on green candle onset — 7th consecutive session

The P300 component — a positive ERP deflection occurring ~300ms post-stimulus — was elevated by an average of 4.2μV on green (bullish) candle appearances compared to red. This pattern has now replicated across all 7 sessions. The P300 is classically associated with reward expectation and motivational salience. In cats, elevated P300-like responses have been observed during prey detection tasks.

Critically: NEURON has no understanding of "green = good." The response appears to be purely visual — movement magnitude and contrast, not semantic meaning. Green candles on a 1-minute BTC chart tend to be accompanied by faster rightward price movement, which may be more visually stimulating.

GREEN RESPONSE +4.2μV  P300 ELEVATED
2026-03-11
22:17 UTC

Session 6

Red candle sequences trigger sustained theta — possible aversion response

Extended red candle sequences (3+ consecutive bearish candles) correlated with a rise in frontal theta power and a reduction in gamma. This pattern is associated with disengagement and reduced reward anticipation in mammalian EEG literature. NEURON's gaze also shifted away from the screen during the longest red sequence recorded (6 candles, -2.3% move). Whether this represents aversion or simple boredom remains unclear.

THETA RISE · DISENGAGEMENT  AMBIGUOUS
2026-03-11
14:05 UTC

Session 5

Discovery: NEURON responds more strongly to volatile charts than trending ones

During a high-volatility 15-minute window (BTC ±1.8%), NEURON's overall EEG arousal was significantly elevated vs a quiet trending session. Beta and gamma power were 2.1× higher. This suggests the visual complexity of rapid price movement — not the direction — is the primary neural driver. Fast candles, wicks, and directional changes appear more visually engaging than slow, steady trends. This has implications for how we use the signal: volatility detection may be more reliable than direction prediction.

HIGH AROUSAL · VOLATILE MARKET  KEY FINDING
2026-03-10
19:30 UTC

Session 1

Baseline established. First chart exposure.

NEURON was placed in front of a 27" monitor displaying a live BTC/USDT 1-minute chart. Initial response: 40 seconds of high visual attention (confirmed by eye tracking and frontal gamma spike), followed by habituation. Baseline dopamine proxy (FRN amplitude) recorded at -3.1μV. Resting P300: 280ms latency. These values will serve as the reference point for all subsequent stimulus-response measurements.

BASELINE RECORDED
01 PRELIMINARY FINDINGS
GREEN CANDLE RESPONSE
+4.2 μV
Mean P300 amplitude above baseline
287ms
Mean P300 latency
+31%
Beta power increase vs baseline
Neural engagement score

Elevated reward-related ERP components. Sustained visual attention. Higher arousal index consistent across 7 sessions. NEURON appears more neurologically engaged during bullish candle formation.

RED CANDLE RESPONSE
+1.1 μV
Mean P300 amplitude above baseline
312ms
Mean P300 latency
+8%
Beta power increase vs baseline
Neural engagement score

Weaker reward-related response. Longer P300 latency indicates reduced motivational salience. Frontal theta often rises during extended red sequences, consistent with disengagement. Lower arousal across all metrics.

Key Question: Can cats distinguish green from red?

Cats are dichromats — they lack the red cone (L-cone) that humans use to distinguish red from green. To NEURON, the red and green candles on a chart likely appear as different shades of yellow-grey rather than distinct hues. Yet the neural response is measurably different. Our current hypothesis: NEURON is not responding to color — it is responding to the shape and momentum of the candle. Green candles on a 1-minute BTC chart tend to have more rapid formation, longer bodies, and faster rightward extension — all of which are more visually stimulating to a predator-oriented visual system.

02 THE NEUROSCIENCE
Component / Measure What It Is What We're Measuring Crypto Relevance
FRN
(Feedback-Related Negativity)
Negative EEG deflection ~200–300ms after outcome feedback. Generated by medial prefrontal cortex. Classically associated with reward vs punishment processing. Amplitude difference between green and red candle events. More negative FRN on losses (red) = reward system distinguishing gain from loss. If NEURON's FRN differs between green and red → the brain is processing market direction as reward-relevant. Potential signal for bullish/bearish market states.
P300 Positive ERP component ~300ms post-stimulus. Reflects attentional resource allocation and motivational salience. Higher amplitude = more cognitively significant stimulus. P300 amplitude and latency at each candle close. Green candle consistently elicits higher-amplitude, shorter-latency P300 than red. P300 elevation on green candles may indicate the visual system treats upward price movement as more salient — potentially useful as a momentum indicator.
Dopamine Proxy
(Beta-gamma power)
Direct dopamine measurement requires invasive techniques. Non-invasively, dopaminergic activity correlates with elevated beta-gamma EEG power in frontal regions — the "dopamine EEG signature." Frontal beta-gamma power spike within 500ms of green candle onset, compared to red. Consistent elevation observed across 7 sessions. Dopaminergic activation during bullish candles suggests the visual cortex-reward pathway treats upward price movement as a positive stimulus — regardless of semantic understanding.
Frontal Theta 4–8 Hz oscillations in frontal cortex. Associated with cognitive control, disengagement, and reduced reward expectation. Theta rise during extended red candle sequences (3+ consecutive bearish). Suggests progressive disengagement from the stimulus. Sustained theta during red sequences may predict continued selling pressure — the brain is "giving up" on the stimulus, mirroring market participant capitulation.
Visual Cortex
Gamma (30–80Hz)
High-frequency oscillations in occipital regions. Generated by visual processing of complex, fast-moving stimuli. Strong gamma = high visual cortex engagement. Gamma power during volatile price action vs quiet trending. Volatile charts produce 2.1× more gamma than slow trends regardless of direction. Gamma elevation during high volatility = the visual system is maximally engaged. Potential predictor of explosive price moves in either direction.
03 EXPERIMENTAL METHOD

Each session runs 45 minutes in a controlled environment: consistent lighting (400 lux, neutral white), no other visual stimuli, same chair position, same monitor distance (60cm), same chart type (BTC/USDT 1-minute candlestick, no indicators).

EEG is recorded continuously. Candle open/close timestamps are synced with the EEG data stream at millisecond precision. Event-related potentials (ERPs) are extracted by averaging EEG epochs time-locked to each candle close event.

Artifacts (blinks, movement) are rejected using a ±100μV threshold on frontal channels. Remaining epochs are baseline-corrected to a 200ms pre-stimulus window.

SESSION PROTOCOL
10 min  ·  acclimation, baseline recording
25 min  ·  live chart exposure, ERP recording
10 min  ·  rest, post-session baseline
30 sessions total  ·  daily  ·  same time of day
# neuron_dopamine.py — ERP extraction import numpy as np from mne import Epochs, create_info from unicorn_sdk import UnicornPy # Candle close event = trigger code GREEN_TRIGGER = 1 # bullish close RED_TRIGGER = 2 # bearish close def extract_erp(raw, events, trigger): epochs = Epochs( raw, events, event_id=trigger, tmin=-0.2, # 200ms pre-stimulus tmax= 0.8, # 800ms post-stimulus baseline=(-0.2, 0), reject=dict(eeg=100e-6) ) return epochs.average() def frn_amplitude(erp): # FRN: most negative peak 200-350ms window = erp.get_data(tmin=0.2, tmax=0.35) return np.min(window) def p300_peak(erp): # P300: most positive peak 250-500ms window = erp.get_data(tmin=0.25, tmax=0.5) lat = np.argmax(window) / 250 + 0.25 amp = np.max(window) return amp, lat * 1000 # ms