pygpla/__init__.py,sha256=o_SNWTzAkNj5vAu6mf4sKWGIpbtgWiW-cv-80_8Qyhw,371
pygpla/_version.py,sha256=HiX3HXESy_Cametq8NIug8oDi9mGSGAszl2XYOGtExA,73
pygpla/api.py,sha256=BRnpHSSFV7JXcolLLG3a1JrwHQJehKrD-IPI2YdSeL8,6406
pygpla/config.py,sha256=LTUv-F4cvcAR1fiRTHZq749B4Mj2dcXOaDnK0IzJLLU,2652
pygpla/typing.py,sha256=2M2Wd2Y8Kce40FlWYNgXBkos3TNHjoL6QasYO-dK6uM,377
pygpla/core/__init__.py,sha256=TmY6rPRhqR57HA_AX6AIzCkP-Q9lFA0DBXnB7n6czz8,330
pygpla/core/coupling.py,sha256=qF_GUAWpfPYcDAJdkYPcbPhKV2WrxVo9wTiUFKV9iDo,4579
pygpla/core/factorization.py,sha256=0CEuDoo2sQ2Q1mSe2M24fBoRA1-o0h6ZQtUdTIWZG90,1483
pygpla/core/gpla.py,sha256=0jS94JeYtN44cgMCZQpXWCTgFzrMQmUOm0CtbObLvIM,5001
pygpla/core/whitening.py,sha256=DTJ6umHBpPNnL-ySrpky5lN1nhM6QAzNxq_wZywOODI,3954
pygpla/preprocessing/__init__.py,sha256=O7d9FknO3GO40vzVh_udlUTK6I478iN0W6kX8IJbXRY,127
pygpla/preprocessing/spike_lfp.py,sha256=MCPkrnq7pPHzSXyQis0r4aJeYXa08T3KKmKFZpmK7cI,8056
pygpla/simulations/__init__.py,sha256=2hDaIAUYjs_3qRwdgu_pAUsA3NTZwlBHesdafuijMbE,389
pygpla/simulations/phase_locked.py,sha256=TNgiLvF6CdtArwWZBIPXdF-13WnC7L6uVuIAeW6Fs8U,5324
pygpla/simulations/poisson.py,sha256=3teTMTSffg2Aq9kadX5XAqrtnpbmQnH5zdi4YtE_FOQ,2498
pygpla/simulations/transient.py,sha256=FPIY7zdUPva0AFQE0SA79umCByYmm7Y88SwCOzbhpDE,5128
pygpla/stats/__init__.py,sha256=rSv9yI0cuh_TPA9Qi18ycCl0ZOUPCMQ9vpe7qjorNHU,364
pygpla/stats/jitter.py,sha256=qdF50XkQ-NSfu5wwA_GYO_0LF4lfy45uOgvHmC7oObM,5218
pygpla/stats/summaries.py,sha256=z2ssTATDPMRyoXaX5VcM1WyiytcSnwnn0dJqh3y34_s,873
pygpla/stats/tests.py,sha256=UiSb6GVbJEv6mrA_ZUrMqNz3QceRs7KC0yb7rJwuJss,8293
pygpla-0.0.1.dist-info/METADATA,sha256=rlJ6ROnmgWSPK5_h-cvP1J232en2TQ3SnJ2U0djwDc8,7435
pygpla-0.0.1.dist-info/WHEEL,sha256=mffPy8wBnZQn2VnJUU5jE99KsxaSfiyMHV9Yt0aLVxs,87
pygpla-0.0.1.dist-info/licenses/LICENSE,sha256=ntRgZVUifGJxy5Hmf9SRfJbSE7RwqzCqH67iS0IeJEY,1296
pygpla-0.0.1.dist-info/RECORD,,
