Items where City Author is "Chicharro, Daniel"
Article
Chicharro, D. ORCID: 0000-0002-4038-258X, Panzeri, S. & Haefner, R. M. (2021). Stimulus-dependent relationships between behavioral choice and sensory neural responses. Elife, 10, article number e54858. doi: 10.7554/elife.54858
Pashkovski, S., Iurilli, G., Brann, D. , Chicharro, D. ORCID: 0000-0002-4038-258X, Drummey, K., Franks, K. M., Panzeri, S. & Datta, S. R. (2020). Structure and flexibility in cortical representations of odour space. Nature, 583(7815), pp. 253-258. doi: 10.1038/s41586-020-2451-1
Makkeh, A., Chicharro, D. ORCID: 0000-0002-4038-258X, Theis, D. O. & Vicente, R. (2019). MAXENT3D_PID: An estimator for the maximum-entropy trivariate partial information decomposition. Entropy, 21(9), article number 862. doi: 10.3390/e21090862
Sanayei, M., Chen, X., Chicharro, D. ORCID: 0000-0002-4038-258X , Distler, C., Panzeri, S. & Thiele, A. (2018). Perceptual learning of fine contrast discrimination changes neuronal tuning and population coding in macaque V4. Nat Commun, 9(1), article number 4238. doi: 10.1038/s41467-018-06698-w
Chicharro, D. ORCID: 0000-0002-4038-258X, Pica, G. & Panzeri, S. (2018). The Identity of Information: How Deterministic Dependencies Constrain Information Synergy and Redundancy. Entropy, 20(3), article number 169. doi: 10.3390/e20030169
Pica, G., Piasini, E., Chicharro, D. ORCID: 0000-0002-4038-258X & Panzeri, S. (2017). Invariant components of synergy, redundancy, and unique information among three variables. Entropy, 19(9), article number 451. doi: 10.3390/e19090451
Chicharro, D. ORCID: 0000-0002-4038-258X & Panzeri, S. (2017). Synergy and redundancy in dual decompositions of mutual information gain and information loss. Entropy, 19(2), article number 71. doi: 10.3390/e19020071
Conference or Workshop Item
Celotto, M., Bím, J., Tlaie, A. , De Feo, V., Toso, A., Lemke, S. M., Chicharro, D. ORCID: 0000-0002-4038-258X, Nili, H., Bieler, M., Donner, T. H., Hanganu-Opatz, I. L., Brovelli, A. & Panzeri, S. (2023). An information-theoretic quantification of the content of communication between brain regions. In: Oh, A., Naumann, T., Globerson, A. , Saenko, K., Hardt, M. & Levine, S. (Eds.), Advances in Neural Information Processing Systems. NeurIPS 2023, 10-16 Dec 2023, New Orleans, USA.