Computational Pattern Separation Models of Dentate Gyrus Neural Subpopulation in the Hippocampus

نویسندگان

  • Azam Bastanfard Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran.
  • Mohammad Teshnehlab Department of Control and System, Electrical and Computer Engineering, K.N. Toosi University of Technology, Tehran, Iran
  • Nazal Modhej Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran.
  • Somayeh Raiesdana Department of Biomedical engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
چکیده مقاله:

Hippocampus is a part of the brain that has an essential role in memory and learning. It is involved in many cognitive and behavioral phenomena, including the pattern separation process: the ability to distinguish patterns with very high similarity. The present study compared the models of pattern separation in the dentate gyrus of the hippocampus and aimed to investigate the significant cells and factors affecting pattern separation. In this review, we intend to describe the anatomy of the dentate gyrus as a part of the hippocampus, which has an essential role in pattern separation. Other adjacent neural populations are further addressed, too. Models of the dentate gyrus, including neurocomputation and functional, that represent the process of separating patterns in the dentate gyrus are reviewed and analyzed. In this regard, five major models were highlighted and compared from several perspectives. While some models are based on the entorhinal cortex and dentate gyrus regions, others point to the mediation of cornu ammonis (CA3) as well. Models with the lowest cells for pattern separation are addressed first. Finally, inhibition is discussed in the comparison of pattern separation models.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Reassessing pattern separation in the dentate gyrus

INTRODUCTION The dentate gyrus (DG) is postulated to be a “pattern separator” (Marr, 1971; Rolls, 1989a,b, 1990; Treves and Rolls, 1994). Yet, the definition of pattern separation has become a haze, with researchers using the term interchangeably to describe computational processes, changes in cell ensemble activity, and even behavioral phenomena (Leutgeb et al., 2007; McHugh et al., 2007; Clel...

متن کامل

Pattern separation in the dentate gyrus and CA3 of the hippocampus.

Theoretical models have long pointed to the dentate gyrus as a possible source of neuronal pattern separation. In agreement with predictions from these models, we show that minimal changes in the shape of the environment in which rats are exploring can substantially alter correlated activity patterns among place-modulated granule cells in the dentate gyrus. When the environments are made more d...

متن کامل

A computational model of pattern separation efficiency in the dentate gyrus with implications in schizophrenia

Information processing in the hippocampus begins by transferring spiking activity of the entorhinal cortex (EC) into the dentate gyrus (DG). Activity pattern in the EC is separated by the DG such that it plays an important role in hippocampal functions including memory. The structural and physiological parameters of these neural networks enable the hippocampus to be efficient in encoding a larg...

متن کامل

Pattern separation in the human hippocampal CA3 and dentate gyrus.

Pattern separation, the process of transforming similar representations or memories into highly dissimilar, nonoverlapping representations, is a key component of many functions ascribed to the hippocampus. Computational models have stressed the role of the hippocampus and, in particular, the dentate gyrus and its projections into the CA3 subregion in pattern separation. We used high-resolution ...

متن کامل

A role for hilar cells in pattern separation in the dentate gyrus: a computational approach.

We present a simple computational model of the dentate gyrus to evaluate the hypothesis that pattern separation, defined as the ability to transform a set of similar input patterns into a less-similar set of output patterns, is dynamically regulated by hilar neurons. Prior models of the dentate gyrus have generally fallen into two categories: simplified models that have focused on a single gran...

متن کامل

A Computational Model Of Episodic Memory Encoding In Dentate Gyrus Hippocampus Sub Region As Pattern Separator Using ART Neural Network

This paper presents a computational model of encoding and separation of episodic events via Dentate Gyrus sub region of hippocampus. The proposed model is implemented using adaptive resonance theory (ART) neural network. The model incorporates the proposed method encoding of episodes in binary patterns. The proposed model is capable of achieving high level of pattern encoding and separation. Th...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 8  شماره 4

صفحات  6- 6

تاریخ انتشار 2022-09

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

کلمات کلیدی

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023