Jakob Jordan,
João Sacramento, Willem Wybo,
Mihai A. Petrovici* & Walter Senn*
Department of Physiology, University of Bern, Switzerland
Kirchhoff-Institute for Physics, Heidelberg University, Germany
Institute of Neuroinformatics, UZH / ETH Zurich, Switzerland
Neurons with conductance-based synapses
naturally implement probabilistic cue integration
Bayes-optimal inference
Bidirectional voltage dynamics
Average membrane potentials
= reliability-weighted opinions
Membrane potential variance
= 1/total reliability
Synaptic plasticity modifies excitatory/inhibitory synapses
\(u_\text{s}^*\): sample from target distribution \(p^*(u_\text{s})\)
target
actual
The trained model approximates ideal observers
and reproduces psychophysical signatures of experimental data
[Nikbakht et al., 2018]
The trained model exhibits cross-modal suppression:
[Ohshiro et al., 2017]
[blog-thebrain.org]
[Billaudelle et al., 2020]