From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning.
CoRR, February, 2025
On the validity of electric brain signal predictions based on population firing rates.
PLoS Comput. Biol., 2025
Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks.
CoRR, 2024
Critical feature learning in deep neural networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
A theory of data variability in Neural Network Bayesian inference.
CoRR, 2023
Optimal signal propagation in ResNets through residual scaling.
CoRR, 2023
Event-Based Update of Synapses in Voltage-Based Learning Rules.
Frontiers Neuroinformatics, 2021
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks.
PLoS Comput. Biol., 2020
Unfolding recurrence by Green's functions for optimized reservoir computing.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Capacity of the covariance perceptron.
CoRR, 2019
Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator.
Frontiers Neuroinformatics, 2017
Expert Memory in Blindfold Chess960 - An Interpretation in the light of LIDA.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012