Towards Computational Model of Human Brain Memory

2001

IOSR Journal of Pharmacy and Biological Sciences, 2012

This paper introduces a novel method for human memory or learning process that employs a set of association, impression & repetition. The output of the biological neurons are used together to make a decision. Experimental results for human memory and laws of learning confirm that the proposed method lends itself to higher classification accuracy relative to existing technique.

2014

Memories are the internal mental records that we maintain .Human mind is a very complex organ.. Processing depends on how we memorize information, events and how we recall things and use them efficiently in situations when required. It can be related that for Storage in mind we use different data structures for storing variety of information. We remember the names of known persons, and the people we met more frequently.The Topics in book, Months of the year, our CNIC Number, the way we learn words of a new language etc. Recently invented data structures e.g skiplist [1] show much similarity of how the brain store the information. So we can say Careful study of how the cognitive storage works could lead to the discovery of the new data structures In this paper we have attempted to relate the existing data structures with how we store information in mind.

Frontiers in psychology, 2017

The way how cognition is conceived and represented in brain functioning will directly impact clinical investigations of people with cognitive difficulties. This is particularly evident in the field of clinical neuropsychology where methodologies and tools are justified on a fundamental level by the theoretical foundations adopted. The present article outlined how the dominant influences of structural and anatomo-clinical theories of memory have led to a particular conception of clinical investigations. We propose to reconsider these dominant methods in favor of a more dynamic and functional representation of memory that would be clinically more appropriate. More precisely, we argued that relying exclusively on a particular memory conception (i.e., structural) may not be sufficient considering the range of real-life variables affecting a patient's memory. By extracting clinically meaningful information in more functional and dynamic memory conceptions, we also aim at underlining ...

Annual Review of Psychology, 2000

The operation of different brain systems involved in different types of memory is described. One is a system in the primate orbitofrontal cortex and amygdala involved in representing rewards and punishers, and in learning stimulus-reinforcer associations. This system is involved in emotion and motivation. A second system in the temporal cortical visual areas is involved in learning invariant representations of objects. A third system in the hippocampus is implicated in episodic memory and in spatial function. Fourth, brain systems in the frontal and temporal cortices involved in short term memory are described. The approach taken provides insight into the neuronal operations that take place in each of these brain systems, and has the aim of leading to quantitative biologically plausible neuronal network models of how each of these memory systems actually operates.

Chapman & Hall/CRC Mathematical & Computational Biology, 2003

Annual Review of Psychology, 1993

This paper aims to introduce a new take on the concept of human memory. It is a preliminary take on this concept, and an experimental design on how the proposed hypothesis can be tested is also included. The paper starts out with a fresh overview of some essential neurological processes, and then introduces the fresh take. What follows is an experimental design based on the traditional Scientific Method, with each of its essential elements recognized promptly.

Scientific reports, 2016

This paper is intended to propose a computational model for memory from the view of information processing. The model, called simplified memory information retrieval network (SMIRN), is a bi-modular hierarchical functional memory network by abstracting memory function and simulating memory information processing. At first meta-memory is defined to express the neuron or brain cortices based on the biology and graph theories, and we develop an intra-modular network with the modeling algorithm by mapping the node and edge, and then the bi-modular network is delineated with intra-modular and inter-modular. At last a polynomial retrieval algorithm is introduced. In this paper we simulate the memory phenomena and functions of memorization and strengthening by information processing algorithms. The theoretical analysis and the simulation results show that the model is in accordance with the memory phenomena from information processing view.

For long, the human brain has intrigued Researchers, Psychologist, Doctors and everyone alike. It has left many unanswered questions and the more it is studied the more questions arise. This paper presents a comparison with the Human brain with that of the Memory System of the Computer. Undoubtedly Technology has progressed to such an extent that one is able to store and retrieve, but how far have we progressed? Are the machines better in storing than our grey matter inside our hard skull? The Human Brain memory is far more complex than the whole of the computer world and fascinating to an extent we cannot even understand the complexity completely.

Basic and Clinical Neuroscience Journal, 2023

Memory is probably one of the most complex human cognitive functions, and in many years, thousands of studies have helped us better recognize this brain function. Professor Kandel and his colleagues have written one of the reference textbooks in neuroscience, which has also elaborated on the memory function. In this book, I encountered several ambiguities while explaining the memory system. Here, I share those points, either to find an answer to them or to let them be a suggestion for our future works. Professor Kandel has spent most of his meritorious lifetime studying the memory system; however, the brain is extremely complex, and as a result, we still have many years to comprehensively understand the neural mechanisms of brain functions.

American Journal of Biochemistry and Biotechnology, 2007

In a perspective of biomedicine and informatics, the mechanism of Alzheimer's, senile amnesia, or other aging-associated and cognitive impairment related diseases involve four important informative processing procedures: propagation, consolidation, retrieval and cognition, In this study, we systematically model the four procedures based on published experimental data. When modeling the propagation, we develop an equivalent circuit of biological membrane to describe how the neuron signals are propagated, attenuated, compensated, transferred, oscillated and filtered; and how wrong signals are related to the diseases. Our circuit involves complex admittances, resonance angular frequencies, propagating constants, active pump currents, transfer functions in frequency domain and memory functions in time domain. Our circuit explains recurrent of brain neurons and clinical EEG frequencies as well as represents an encoding of current or electric field intensity (EFI). When modeling the consolidation and the retrieval of long term memory (LTM), we emphasize the EFI consists of a non conservative electric field intensity (NCEFI) and a conservative electric field intensity (CEFI). It is mostly a NCEFI of acquired information to evoke an informative flow: from the inherited or mutant DNA to the transcribed RNA, from the transcribed RNA to the translated proteins. Some new synthesized proteins relate to the memory functions. The charges of the proteins and the memory functions mostly store the LTM and play an important role during the LTM retrieval. When modeling the cognition in working memory (WM), our model demonstrates: if a sum of two sets of EFI signals is enhanced positively (or negatively), at a sub-cellular level (especially at the axon hillock), the sum supports a positive (or negative) cognition; otherwise, the sum tends to be no cognition. A set of related brain neurons in WM work organically to vote, by EFI signal outputs through their axons, if they recognize or cognize an object.

Paper, 2021

A number of theories and models on memory have been conducted through centuries. These models have been adopted by many researchers especially with regard to language learning. However, few authors have reviewed them critically. The main purpose of this research is to provide a critical review of the basic memory models by demonstrating their description, showing their evidences, examining their applications and their limitations if any. In addition, integrating them to serve the language teaching/learning process. The main question of the research states: Can memory models be merged in a way to result an eclectic model that provides a typical model which can be implemented in an educational setting? A critical review is put forward by manifesting the strength and short comings of these models. The research reveals; each memory model has a specific perspective of memory function in terms of processing the data that a human brain receives in daily-base life and how it holds this data otherwise it will be lost. Moreover, an eclectic model can be formulated to comprise the subdivisions that suites the teaching strategies adopted. So, in the light of this result, a researcher can design the model that fits his/her educational setting making use of them. The research is supposed to pave the way for future studies in utilizing more than one memory model and apply them to language teaching/learning process. This will be followed by a diagram demonstrating all memory taxonomies.

Brain Research, 2015

Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510), 2001

In the present in vivo experimental study, the dynamical properties of the electroencephalographic (EEG) activity recorded in the CAI area and the dentate gyrous of rat hippocampus were investigated prior to the induction and during the maintenance phase of Long Term Potentiation (LTP). Our findings suggest that this form of brain plasticity can be reflected by the complexity of spontaneous EEG activity, as it is expressed by the reduction of the correlation dimension D2, indicates that direrent functional states of the brain are governed by different degrees of functional complexity. Keywords: -long term potentiation, EEG, Qrhythm deterministic chaos, non linear dynamical analysis, memory processes 0-7803-7164-X/01 /$IO 0 2001 IEEE