| year | 2020 |
| author(s) | Jakob Jordan, Mihai A. Petrovici, Walter Senn, João Sacramento |
| title | Conductance-based dendrites perform reliability-weighted opinion pooling |
| KIP-Nummer | HD-KIP 20-18 |
| KIP-Gruppe(n) | F9 |
| document type | Paper |
| Keywords (shown) | synaptic plasticity, conductance-based coupling, Bayesian cue combination, neural networks, multisensory integration |
| source | NAISYS 2020, NICE 2020 |
| doi | https://doi.org/10.1145/3381755.3381767 |
| Abstract (en) | Cue integration, the combination of different sources of information to reduce uncertainty, is a fundamental computational principle of brain function. Starting from a normative model we show that the dynamics of multi-compartment neurons with conductance-based dendrites naturally implement the required probabilistic compu- tations. The associated error-driven plasticity rule allows neurons to learn the relative reliability of different pathways from data samples, approximating Bayes-optimal observers in multisensory integration tasks. Additionally, the model provides a functional interpretation of neural recordings from multisensory integration experiments and makes specific predictions for membrane potential and conductance dynamics of individual neurons. |
| bibtex | @inproceedings{Jordan2020Conductance,
author = {Jordan, Jakob and Petrovici, Mihai A. and Senn, Walter and Sacramento, Jo\~{a}o},
title = {Conductance-Based Dendrites Perform Reliability-Weighted Opinion Pooling},
booktitle = {Proceedings of the Neuro-Inspired Computational Elements Workshop},
year = {2020},
volume = {},
number = {11},
series = {NICE },
pages = {3},
address = {New York, NY, USA},
month = {3},
publisher = {Association for Computing Machinery},
note = {ISBN: 9781450377188}
} |
| Datei |
