Partial information decomposition as a unified approach to the specification of neural goal functions

By Michael Wibral, Viola Priesemann, J. Kay, Joseph Troy Lizier, W. A. Phillips. 2015

Subfields: Information Theory, Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Etienne Combrisson
2. R. Basanisi
3. Maëlle C. M. Gueguen
4. S. Rheims
5. P. Kahane
6. J. Bastin
7. Andrea Brovelli
8. Pascal Fries

Citations in the corpus

• Neural interactions in the human frontal cortex dissociate reward and punishment learning (2024, methodology): “To address this question, we performed model-based network-level analyses based on the Partial Information Decomposition (PID) framework (Williams and Beer, 2010; Wibral et al., 2017; Lizier et al., 2018).”