68 citations · 222 across the 14 of their papers we have counts for
4 papers · 1 filter
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
Paul Haider, Benjamin Ellenberger, Laura Kriener +3
The response time of physical computational elements is finite, and neurons are no exception. In hierarchical models of cortical networks each layer thus introduces a response lag.…
Learning cortical representations through perturbed and adversarial dreaming
Nicolas Deperrois, Mihai A. Petrovici, Walter Senn +1
Humans and other animals learn to extract general concepts from sensory experience without extensive teaching. This ability is thought to be facilitated by offline states like slee…
Conductance-based dendrites perform Bayes-optimal cue integration
Jakob Jordan, João Sacramento, Willem A. M. Wybo +2
A fundamental function of cortical circuits is the integration of information from different sources to form a reliable basis for behavior. While animals behave as if they optimall…
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming
Henrik D. Mettler, Maximilian Schmidt, Walter Senn +2
We formulate the search for phenomenological models of synaptic plasticity as an optimization problem. We employ Cartesian genetic programming to evolve biologically plausible huma…