In this paper we revisit the classical neuroscience paradigm of Hebbian learning. We find that a necessary requirement for effective associative memory learning is that the efficacies of the incoming synapses should be uncorrelated. This is difficult to achieve in a robust manner by Hebbian synaptic learning, since it depends on network level information. Effective learning can yet be achieved ...

We present and study the concept of m-periodic Gorenstein objects relative to a pair (A,B) classes in an abelian category, as generalization m-strongly projective modules over associative rings. prove several properties when satisfies certain homological conditions, like for instance is GP-admissible pair. Connections dimensions these pairs are also established.

Accounts of category-based inductive reasoning can be distinguished by the emphasis they place on associative retrieval processes versus structural knowledge representation. Using an open-ended category-based induction task with a secondary task manipulation, we explored whether the relative importance of these two processes in determining the reasoning output depends upon the availability of m...

A design procedure of neural associative memories to be used for robot vision systems is developed, which fits in the capabilities both of discrete-time cellular neural networks (DTCNNs) and fuzzy logic. The choice of this kind of neural networks is motivated by their architecture, suitable for storing images, and their locally connected structure, which is effective for the hardware implementa...

We evaluated STREAK and the univariate signal detection model of Remember/Know (RK) judgments in terms of their ability to fit empirical data and produce psychologically meaningful parameter estimates. Participants studied pairs of words and completed item recognition tests with RK judgments as well as associative recognition tests. Fits to the RK data showed that the univariate model provided ...

The article is devoted to the study of language representations of the concept of “woman” in the minds of the Russian and Chinese people based on a comparison of associative experiments of two languages, identifying the dynamics of the concept in the language consciousness of the people, establishing the specificity of the concept in the Russian language picture of the world referring to the Ch...

The brain mechanisms that enable us to form durable associations between different types of information are not completely understood. Although the hippocampus is widely thought to play a substantial role in forming associations, the role of surrounding cortical regions in the medial temporal lobe, including perirhinal and parahippocampal cortex, is controversial. Using anatomically constrained...

The ability to recover episodic associations is thought to depend on medial-temporal lobe mnemonic mechanisms and frontal lobe cognitive control processes. The present study examined the neural circuitry underlying non-verbal associative retrieval, and considered the consequences of successful retrieval on cognitive control demands. Event-related fMRI data were acquired while subjects retrieved...

A modular connectionist network is described that learns the German verb paradigm. The architecture of the network is in accordance with the rule{associative memory hypothesis proposed by Pinker (1991): it is composed of a connectionist short-term memory enabling it to process symbolic rules and an associative memory acting as a lexicon. The network successfully learns the German verb paradigm ...

The learning of rich associative networks is foundational to language and other advanced cognitive competencies. Such learning is commonly encouraged by direct supervision entailing explicit feedback for correct and incorrect responses. The power of explicit feedback has recently been demonstrated in an animal model (Wasserman, Brooks, & McMurray, 2015), in which pigeons successfully learned to...