A Neural Network Model of the Recognition of the Familiarity of Number Sequences
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A Neural Network Model of the Recognition of the Familiarity of Number Sequences Ya. B. Kazanovich
UDC 612.821
Translated from Zhurnal Vysshei Nervnoi Deyatel’nosti imeni I. P. Pavlova, Vol. 70, No. 3, pp. 383–393, May–June, 2020. Original article submitted July 15, 2019. Revised version received December 9, 2019. Accepted December 16, 2019. One component of recognition memory is the recognition of familiarity, where the subject remembers the fact that a particular object or event has been encountered previously but is unable to remember the details of the object or event, or the context in which the object or event was experienced. Experiments reported by Standing [1970, 1973] identified a paradoxically large memory capacity for recognition of the familiarity of natural images, words, and musical melodies. Existing neural network models for recognition of familiarity have demonstrated the potential for recognition of familiarity with memory of the order of n2, where n is the number of neurons in the model. In the present study we propose a new model for the recognition of familiarity oriented to the recognition of the familiarity of time sequences (especially number sequences), which is characterized by sparse encoding of input patterns. Computer experiments showed that specific memory capacity in this model in certain conditions of errorless recognition is greater than that in known Hopfield-type models. Keywords: recognition memory, recognition of familiarity, neural network models, memory capacity.
volume of short-term memory is usually assessed as 7 ± 2 elementary objects (chunks) [Miller, 1956], memory volume for recognition of the familiarity of visual objects is virtually unlimited [Standing, 1970; 1973]. We note the memory in Standing’s experiments was formed by brief (5 sec) single presentations of large numbers of stimuli (from 20 to 10000 stimuli), so it seems surprising that its capacity is so radically different – on the large side – as compared with the capacity of short-term memory. The theoretical and experimental literature on recognition memory has no single view as to whether its two components are different stages of a single process or two different cognitive processes. If the latter is true, we come up against the following questions: are these two processes realized by different brain structures and/or different neuron populations in brain structures; do these processes operate with the same or different memory traces; which neuronal structures are involved in realizing these types of recognition memory and which neuronal mechanisms are used for them? Adherents of the single-process theory (SPT) take the view that recollection is only a more detailed version of the
Recognition memory [Ameen-Ali et al., 2015] is a type of declarative memory and is subdivided into two types [Yonelinas, 2002]: 1. Recollection, in which an object or event is retrieved, along with the context; and 2. Recognition of familiarity, where the fact of knowledge of an object or event is established but contextual in
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