Predicting not to predict too much: how the cellular machinery of memory anticipates the uncertain future.

نویسنده

  • Yadin Dudai
چکیده

Although the faculty of memory holds information about the past, it is mostly about the present and the future, because it permits adaptive responses to ongoing events as well as to events yet to come. Since many elements in the future are uncertain, the plasticity machinery that encodes memories in the brain has to operate under the assumption that stored information is likely to require fast and recurrent updating. This assumption is reflected at multiple levels of the brain, including the synaptic and the cellular level. Recent findings cast new light on how combinations of plasticity and metaplasticity mechanisms could permit the brain to balance over time between stability and plasticity of the information stored.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Predicting Normal People’s Reaction Time based on Hippocampal Local Efficiency During a Memory-Guided Attention Task

Background: There are some convincing shreds of evidence indicating that memory can direct attention. The local efficiency of an area in the brain, as a quantitative feature in a complex network, indicates how the surrounding nodes can transfer the information when a specific node is omitted. This feature is a scale for measuring efficient integration of information in the brain. Objectives:...

متن کامل

Working Memory, Rumination, and Autobiographical Memory Specificity Impairment

Objectives: Specificity impairment is a memory alteration that occurs in people with major depressive disorder (MDD). In this investigation, we intended to shine a light on obscure aspects of executive resource and capture and rumination frameworks to determine whether these theories are reliable in predicting underlying mechanisms for specificity impairment. Methods: In this correlational res...

متن کامل

Evaluate the performance of SDSM model in different station and predict climate variables for future

According to the fourth report from the IPCC was confirmed climate change and its impacts on drought, floods, health problems and food shortages. Therefore, understanding of how climate change could be important in the management of resources, especially water resources management. Atmosphere-Ocean Global Circulation Models (AOGCM) are tools for predicting the future climate variables and it mu...

متن کامل

Optimal Aminoglycoside Therapy Following the Sepsis: How Much Is Too Much?

Severe sepsis and septic shock are major problems as the result of high rates morbidity andmortality in intensive care units (ICUs). In the presence of septic shock, each hour of delay inthe administration of effective antibiotics is associated with a measurable increase in mortality.Aminoglycosides are effective broad-spectrum antibiotics that are commonly used in ICUs forthe treatment of life...

متن کامل

Integration of remote sensing and meteorological data to predict flooding time using deep learning algorithm

Accurate flood forecasting is a vital need to reduce its risks. Due to the complicated structure of flood and river flow, it is somehow difficult to solve this problem. Artificial neural networks, such as frequent neural networks, offer good performance in time series data. In recent years, the use of Long Short Term Memory networks hase attracted much attention due to the faults of frequent ne...

متن کامل

ذخیره در منابع من


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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Philosophical transactions of the Royal Society of London. Series B, Biological sciences

دوره 364 1521  شماره 

صفحات  -

تاریخ انتشار 2009