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Supervised Associative Learning in Spiking Neural Network [PDF]
, 2005 In this paper, we propose a simple supervised associative learning approach for spiking neural networks. In an excitatory-inhibitory network paradigm with Izhikevich spiking neurons, synaptic plasticity is implemented on excitatory to excitatory synapses
F. Crick +6 more
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Improved Learning Experience Memristor Model and Application as Neural Network Synapse
IEEE Access, 2019 This paper proposes a memristor model, named learning experience memristor (LEM), for using as synapse in the associative neural network. The properties of LEM are discussed under different external voltages.
Xiaohong Zhang, Keliu Long
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Effects of ecstasy/polydrug use on memory for associative information [PDF]
, 2012 Rationale Associative learning underpins behaviours that are fundamental to the everyday functioning of the individual. Evidence pointing to learning deficits in recreational drug users merits further examination.
A Klugman +49 more
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Learning in university and dual process theory of reasoning
Teoría de la Educación: Revista Interuniversitaria, 2014 In this paper, I argue that there are relationships between two kinds of learning, associative learning and comprensive learning, and the two reasoning systems described by dual process theory.
Miguel LÓPEZ ASTORGA
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European Journal of Psychotraumatology, 2022 Background: The COVID-19 outbreak in early 2020 was associated with an immediate increase in mental health problems in a significant percentage of the general population.
Edith Friesen +3 more
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Event Timing in Associative Learning [PDF]
, 2012 Associative learning relies on event timing. Fruit flies for example, once trained with an odour that precedes electric shock, subsequently avoid this odour (punishment learning); if, on the other hand the odour follows the shock during training, it is ...
Herz, Andreas V. M. +3 more
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On Learning Associative Relationship Memory among Knowledge Concepts
International Journal of Networked and Distributed Computing (IJNDC), 2020 A high-level associative memory modelling method was developed to explore the realization of associative memory. In the proposed method, two stage procedures are progressively performed to construct a unified associative knowledge network.
Zhenping Xie, Kun Wang, Yuan Liu
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Minimal model of associative learning for cross-situational lexicon acquisition [PDF]
, 2012 An explanation for the acquisition of word-object mappings is the associative learning in a cross-situational scenario. Here we present analytical results of the performance of a simple associative learning algorithm for acquiring a one-to-one mapping ...
Adolphs +30 more
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A Unifying Probabilistic View of Associative Learning. [PDF]
PLoS Computational Biology, 2015 Two important ideas about associative learning have emerged in recent decades: (1) Animals are Bayesian learners, tracking their uncertainty about associations; and (2) animals acquire long-term reward predictions through reinforcement learning.
Samuel J Gershman
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Incentive learning underlying cocaine relapse requires mGluR5 receptors located on dopamine D1 receptor-expressing neurons [PDF]
, 2010 Understanding the psychobiological basis of relapse remains a challenge in developing therapies for drug addiction. Relapse in cocaine addiction often occurs following exposure to environmental stimuli previously associated with drug taking.
Bilbao, Ainhoa +11 more
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