Python中有一个LSL模块，叫做pylsl。您应该能够将其纳入您的游戏循环。
以下代码改编自this example：

from pylsl import StreamInlet, resolve_stream
import pygame

# first resolve an EEG stream on the lab network
streams = resolve_stream('type', 'EEG')

# create a new inlet to read from the stream
inlet = StreamInlet(streams[0])

# Pygame setup
pygame.init()
size = width, height = 320, 240

screen = pygame.display.set_mode(size)

samples = []
while True:
    # get a new sample (you can also omit the timestamp part if you're not
    # interested in it)

    # Get a sample from the inlet stream
    sample, timestamp = inlet.pull_sample()
    samples.push(sample)

    #TODO: interpolate streamed samples and update game objects accordingly. 
    # You'll probably need to keep a few samples to interpolate this data.

    #TODO: draw game
    ...
    pygame.display.flip()

增加另一种可能性：来自日内瓦生物技术学院的工程师们已经使用LSL创建了一个库，用于使用EEG的在线范例，称为NeuroDecode。它依赖于pylsl并提供了更高级别的实现。
在我的fork版本中，我放弃了（旧的）解码功能，支持对低级功能的改进，例如。信号采集/可视化。
https://github.com/mscheltienne/NeuroDecode