Modelling adaptation aftereffects in associative memory

Federica Menghini; Nicola van Rijsbergen; Alessandro Treves

doi:10.1016/j.neucom.2006.10.081

Modelling adaptation aftereffects in associative memory

Federica Menghini, Nicola van Rijsbergen, Alessandro Treves^*

^*Corresponding author for this work

Psychology

International School for Advanced Studies

Research output: Contribution to journal › Article (journal) › peer-review

13 Citations (Scopus)

Abstract

We present a simple autoassociative neural network model of cortical adaptation that replicates a high-level category aftereffect. We study in our model the effect of a priming stimulus on retrieval from a briefly presented partial cue. We also explore, in our general framework, which learning conditions permit correct pattern retrieval.

Original language	English
Pages (from-to)	2000-2004
Number of pages	5
Journal	Neurocomputing
Volume	70
Issue number	10-12
DOIs	https://doi.org/10.1016/j.neucom.2006.10.081
Publication status	Published - 1 Jun 2007

Keywords

Associative memory
Firing rate adaptation
Multiple attractor states
Recurrent networks
Visual aftereffects

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10.1016/j.neucom.2006.10.081

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title = "Modelling adaptation aftereffects in associative memory",

abstract = "We present a simple autoassociative neural network model of cortical adaptation that replicates a high-level category aftereffect. We study in our model the effect of a priming stimulus on retrieval from a briefly presented partial cue. We also explore, in our general framework, which learning conditions permit correct pattern retrieval.",

keywords = "Associative memory, Firing rate adaptation, Multiple attractor states, Recurrent networks, Visual aftereffects",

author = "Federica Menghini and \{van Rijsbergen\}, Nicola and Alessandro Treves",

year = "2007",

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T1 - Modelling adaptation aftereffects in associative memory

AU - Menghini, Federica

AU - van Rijsbergen, Nicola

AU - Treves, Alessandro

PY - 2007/6/1

Y1 - 2007/6/1

N2 - We present a simple autoassociative neural network model of cortical adaptation that replicates a high-level category aftereffect. We study in our model the effect of a priming stimulus on retrieval from a briefly presented partial cue. We also explore, in our general framework, which learning conditions permit correct pattern retrieval.

AB - We present a simple autoassociative neural network model of cortical adaptation that replicates a high-level category aftereffect. We study in our model the effect of a priming stimulus on retrieval from a briefly presented partial cue. We also explore, in our general framework, which learning conditions permit correct pattern retrieval.

KW - Associative memory

KW - Firing rate adaptation

KW - Multiple attractor states

KW - Recurrent networks

KW - Visual aftereffects

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M3 - Article (journal)

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SN - 0925-2312

VL - 70

SP - 2000

EP - 2004

JO - Neurocomputing

JF - Neurocomputing

IS - 10-12

ER -

Modelling adaptation aftereffects in associative memory

Abstract

Keywords

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