KIP publications

year 2020
author(s) Jakob Jordan, Mihai A. Petrovici, Walter Senn, Joćo Sacramento
title Conductance-based dendrites perform reliability-weighted opinion pooling
KIP-Nummer HD-KIP 20-18
KIP-Gruppe(n) F9
document type Paper
Keywords synaptic plasticity, conductance-based coupling, Bayesian cue combination, neural networks, multisensory integration
source COSYNE 2020, 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 '20},
  pages    = {3},
  address  = {New York, NY, USA},
  month    = {3},
  publisher = {Association for Computing Machinery},
  note     = {ISBN: 9781450377188}
Datei pdf
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