A wrap up of tools for data analysis in neuroscientific context. Covering data import, data exploration, data mining using machine learning, time-series analysis, signal processing, statistics, ...

Part of the software suite for data science: analyz, datavyz, finalyz

The package is organized around the following components:

Interface to load datafiles common data formats into numpy arrays, it currently supports:

• Axon (Molecular Instruments) datafiles
• Elphy datafiles
• HDF5 datafiles
• binary datafiles
• npz (numpy) datafiles
• neuronexus (numpy) datafiles

Based on scipy & tensorflow

• classification
• dim_reduce
• regression
• convolutional_nn
• ensemble
• recurrent_nn
• tf_cookbook (tensorflow cookbook)

Imlements:

• minimization procedures
• curve fits
• ...

Implements:

• Fourier transform
• Wavelet transform

Implements:

• generation of stochastic processes (Wiener process, Ornstein-Uhlenbeck process, ...)
• set of classical functions (Gaussian, Heaviside, ...)
• set of classical waveforms (Step, etc...)

Classical signal processing tools. It currently implements:

• filtering
• denoising
• smoothing
• ...

Statistical library including classical and specific tests (based on scipy.stats):

• permutation test
• ...

Set of procedures for:

• parameter search
• array manipulation
• file organization
• saving strategies
• shell interaction
• ...