Synaptic Modification by Correlated Activity: Hebb's Postulate Revisited

Bi, Guo-Qiang; Poo, Mu‐ming

doi:10.1146/annurev.neuro.24.1.139

Cited by 1,335 publications

(1,175 citation statements)

References 171 publications

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“…The parameters are c 10 = 10 5 , c 01 = 20, c 11 = 5, τ l = 25 ms, τ shift = 10 ms, τ decay = 10 5 ms, and g 0 = 0.125 nS if not stated otherwise. Because of the large value of c 01 the synaptic strength is only depressed if post-synaptic spikes are not paired with presynaptic ones, consistent with experimental observations [36,37,28,30] and biophysical models [1,52].…”

Section: Synaptic Plasticitysupporting

confidence: 81%

Self-organization in the olfactory system: one shot odor recognition in insects

Nowotny¹,

Huerta²,

Abarbanel

et al. 2005

Biol Cybern

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Mikhail I (2005) Selforganization in the olfactory system: one shot odor recognition in insects. Biological Cybernetics, 93 (6). pp. 436-446. ISSN 1432-0770 This version is available from Sussex Research Online: http://sro.sussex.ac.uk/1552/ This document is made available in accordance with publisher policies and may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the URL above for details on accessing the published version. Copyright and reuse:Sussex Research Online is a digital repository of the research output of the University.Copyright and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable, the material made available in SRO has been checked for eligibility before being made available.Copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. The date of receipt and acceptance will be inserted by the editorAbstract We show in a model of spiking neurons that synaptic plasticity in the mushroom bodies in combination with the general fan-in, fan-out properties of the early processing layers of the olfactory system might be sufficient to account for its efficient recognition of odors.For a large variety of initial conditions the model system consistently finds a working solution without any finetuning, and is, therefore, inherently robust. We demonstrate that gain control through the known feedforward inhibition of lateral horn interneurons increases the capacity of the system but is not essential for its general function. We also predict an upper limit for the number of odor classes Drosophila can discriminate based on the number and connectivity of its olfactory neurons.

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Section: Synaptic Plasticitysupporting

confidence: 81%

Self-organization in the olfactory system: one shot odor recognition in insects

Nowotny¹,

Huerta²,

Abarbanel

et al. 2005

Biol Cybern

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“…Synaptic connections typically follow correlation-based learning rules such that connections between neurons with correlated activity are strengthened and connections between uncorrelated neurons are weakened (Bi and Poo, 2001;Hebb, 1949;Stent, 1973). These changes in synaptic 0378-5955/$ -see front matter Ó 2004 Elsevier B.V. All rights reserved.…”

Section: Introductionmentioning

confidence: 99%

Asynchronous inputs alter excitability, spike timing, and topography in primary auditory cortex

Pandya¹,

Moucha²,

Engineer³

et al. 2005

Hearing Research

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Correlation-based synaptic plasticity provides a potential cellular mechanism for learning and memory. Studies in the visual and somatosensory systems have shown that behavioral and surgical manipulation of sensory inputs leads to changes in cortical organization that are consistent with the operation of these learning rules. In this study, we examine how the organization of primary auditory cortex (A1) is altered by tones designed to decrease the average input correlation across the frequency map. After one month of separately pairing nucleus basalis stimulation with 2 and 14 kHz tones, a greater proportion of A1 neurons responded to frequencies below 2 kHz and above 14 kHz. Despite the expanded representation of these tones, cortical excitability was specifically reduced in the high and low frequency regions of A1, as evidenced by increased neural thresholds and decreased response strength. In contrast, in the frequency region between the two paired tones, driven rates were unaffected and spontaneous firing rate was increased. Neural response latencies were increased across the frequency map when nucleus basalis stimulation was associated with asynchronous activation of the high and low frequency regions of A1. This set of changes did not occur when pulsed noise bursts were paired with nucleus basalis stimulation. These results are consistent with earlier observations that sensory input statistics can shape cortical map organization and spike timing.

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“…The principle goes back to Hebb [16], but has recently gained enhanced interest by more extensive empirical support (e.g., [2]), and more advanced mathematical formulations (e.g., [10]). In the adaptive agent model the mutual connections between the sensory representations for s k are adapted based on a Hebbian learning principle.…”

Section: Hebbian Learning To Strengthen Connections Between Sensory Rmentioning

confidence: 99%

An Adaptive Agent Model for the Emergence of Recurring Dream Scripts Based on Hebbian Learning

Kemp¹,

Treur²

2012

Studies in Computational Intelligence

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Abstract. In this paper an adaptive agent model is presented that models how recurrent dreams such as nightmares occur. The approach addresses dreaming as internal simulation incorporating memory elements in the form of sensory representations and their associated emotions. In the agent model recurring dreams emerge as scripts of connected dream episodes in which the connections between the episodes strengthen over time by Hebbian learning. The model was evaluated by a number of simulation experiments for different scenarios.

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Synaptic Modification by Correlated Activity: Hebb's Postulate Revisited

Cited by 1,335 publications

References 171 publications

Self-organization in the olfactory system: one shot odor recognition in insects

Self-organization in the olfactory system: one shot odor recognition in insects

Asynchronous inputs alter excitability, spike timing, and topography in primary auditory cortex

An Adaptive Agent Model for the Emergence of Recurring Dream Scripts Based on Hebbian Learning

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