A. Granier, M.A. Petrovici, W. Senn, K.A. Wilmes.
Precision estimation and second-order prediction errors in cortical circuits.
arXiv
2023
DOI
pdf
J. Göltz, S. Billaudelle, L. Kriener, L. Blessing, C. Pehle, E. Müller, J. Schemmel, M.A. Petrovici.
Gradient-based methods for spiking physical systems.
arXiv
2023
DOI
pdf
N. Deperrois, M.A. Petrovici, W. Senn, J. Jordan.
Learning beyond sensations: how dreams organize neuronal representations.
arXiv
2023
DOI
pdf
K.A. Wilmes, M.A. Petrovici, S. Sachidhanandam and W. Senn.
Uncertainty-modulated prediction errors in cortical microcircuits.
bioRxiv
2023
DOI
pdf
M. Farisco, G. Baldassarre, E. Cartoni, A. Leach, M.A. Petrovici, A. Rosemann, A. Salles, B. Stahl, S.J. van Albada.
A method for the ethical analysis of brain-inspired AI.
arXiv
2023
pdf
J. Yik, ..., M.A. Petrovici et al..
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
arXiv
2023
pdf
W. Senn, Dold D., Kungl A.F., Ellenberger B, Jordan J., Bengio Y., Sacramento J. and Petrovici M.A..
A Neuronal Least-action Principle For Real-time Learning In Cortical Circuits.
eLIFE
2023
DOI
pdf
bioRxiv
