Jakob Jordan
Department of Physiology, University of Bern, Switzerland
25.08.2022, Giessbach meeting, Giessbach, Switzerland
Jordan, J., Sacramento, J., Wybo, W. A., Petrovici, M. A., & Senn, W. (2021).
Learning Bayes-optimal dendritic opinion pooling. arXiv preprint arXiv:2104.13238.
visual
auditory
olfactory
"uncertainty"
Bayes-optimal inference
"Slow" membrane potentials
mean
precision
Membrane potential mean
= mean of the posterior
Membrane potential variance
= inverse precision of the posterior
Somatic membrane potential distribution
Somatic membrane potential dynamics
Prediction for experiments:
Synaptic plasticity modifies excitatory/inhibitory synapses
target
actual
The trained model approximates ideal observers
and reproduces psychophysical signatures of experimental data
[Nikbakht et al., 2018]
[Ohshiro et al., 2017]
Single neurons with conductance-based synapses can learn to be optimal cue integrators.
Jordan, J., Sacramento, J., Wybo, W. A., Petrovici, M. A., & Senn, W. (2021).
Learning Bayes-optimal dendritic opinion pooling. arXiv preprint arXiv:2104.13238.
Time-averaged membrane potentials
= mean of the posterior
Membrane potential variance
= inverse precision of the posterior
Prediction for experiments:
Synaptic plasticity modifies excitatory/inhibitory synapses
\(u_\text{s}^*\): sample from target distribution \(p^*(u_\text{s})\)
target
actual