information bottleneck
for Temporal Binding
An open source software package for the information theoretic analysis of neural data
This tool helps neuroscientists understand how neural systems process and transmit information by leveraging principles from information theory.
The tool is based on the Information Bottleneck (IB) principle, which aims to compress input data while preserving relevant information about the output.
It identifies optimal trade-offs between compression (reducing data complexity) and prediction (retaining essential features for accurate outputs).
ibTB specializes in analyzing temporal dynamics in neural data, making it suitable for time-series data from neuroscience experiments, like EEG or spike trains.
It assesses how neural signals are temporally organized to encode information about external stimuli or internal states.