KIP publications

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
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.

  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 pdf
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