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Non-linear temporal dynamics of mutually inhibiting pyramidal cells: underlying mechanism for bi-stable perception and disambiguation

Total Cost €


EC-Contrib. €






 M-INHIB project word cloud

Explore the words cloud of the M-INHIB project. It provides you a very rough idea of what is the project "M-INHIB" about.

retinal    elaborate    dynamics    stochasticity    cues    alternations    inhibit    dominance    levels    inhibition    enhanced    bi    implementing    model    elucidate    reversal    dynamical    vitro    inhibitory    phenomenon    coherent    neurons    groups    seconds    mutually    circuit    images    becomes    data    projection    perception    run    causes    dynamic    neural    consistent    few    ambiguity    memory    clamp    underlying    tool    mechanism    effect    neurophysiological    dominant    propositions    disynaptic    synapses    theoretical    input    connections    mutual    representation    levelt    establishing    neuron    organization    signal    missing    conflicting    preparation    plays    perceptual    representing    inhibiting    models    percepts    influences    consciousness    assumed    elucidating    physiological    global    cells    distributions    feedback    suppressed    paradigms    signals    recovery    fundamental    durations    combined    experimental    equivalent    pyramidal    stable    influenced    competing    noise   

Project "M-INHIB" data sheet

The following table provides information about the project.


Organization address
postcode: 6525 EZ

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 165˙598 €
 EC max contribution 165˙598 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-07-01   to  2020-06-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Bi-stable perception has been the key tool to investigate how retinal information reaches consciousness. In existing theoretical work to explain this phenomenon, it has been assumed that a neural circuit, called mutual inhibition, plays the key role in perceptual alternations. Two neurons (or neuron groups) representing competing percepts inhibit each other and one becomes dominant while another becomes suppressed. Adaptation of the dominant neuron and recovery of suppressed neuron causes the reversal of the dominance after few seconds. While there are elaborate theoretical models implementing this circuit, its physiological data from real neurons is missing. I will use in vitro preparation combined with a state-of-art “dynamic clamp” system where the disynaptic inhibitory connections between two real pyramidal cells are established by model synapses and inhibitory neuron models. I will run paradigms equivalent to experimental paradigms known in the research of bi-stable perception. In this way, I aim at elucidating the neurophysiological factors underlying the known dynamical properties of bi-stable perception. I will investigate how dominance durations and their distributions are influenced by the activity levels of the two neurons (equivalent to the well-known Levelt’s propositions), how their stochasticity is influenced by noise, how memory effect can be observed, and how feedback projection influences their dynamics. There is often an ambiguity in input images due to noise or conflicting information. Coherent representation of such input can be established if the mutually inhibiting neurons representing conflicting cues are influenced by feedback such that the neural signals consistent with global properties are enhanced. Therefore, mutual inhibition may work as a fundamental unit of signal processing in establishing coherent perception. This project will elucidate this essential mechanism underlying perceptual organization.

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