Results 51 to 60 of about 9,826,187 (198)
A genetic switch for long-term memory
Comptes Rendus de l'Académie des Sciences - Series III - Sciences de la Vie, 1998 Current models of brain function hold that learning corresponds to changes in the efficacy of single synapses. The study of learning and of a variety of forms of synaptic plasticity has revealed that both have at least two phases: an early phase that is not dependent on protein synthesis and a late phase that depends on new transcription and ...
C, Pittenger, E, Kandel
openaire +2 more sources
Modified climate with long term memory in tree ring proxies
Environmental Research Letters, 2015 Long term memory (LTM) scaling behavior in worldwide tree-ring proxies and subsequent climate reconstructions is analyzed for and compared with the memory structure inherent to instrumental temperature and precipitation data.
Huan Zhang +7 more
doaj +1 more source
Long Term Care Ombudsman Annual Report 1993
, 1993 October, 1992 through September 30 ...
Kansas. Long Term Care Ombudsman
core
RETRIEVAL PROCESS IN FREE RECALL CREATES ERRORS IN SHORT TERM MEMORY BUT NOT IN LONG TERM MEMORY
RUDN Journal of Psychology and Pedagogics, 2015 An analysis of free recall errors shows that the free recall retrieval process in short term memory is accompanied by a linear rise in errors, without discontinuities, invalidating short term memory models in which stores or states are sequentially ...
Eugen Tarnow
doaj
Long Term Potentiation as a Mechanism for Learning and Memory [PDF]
Cell Journal, 2009 Since the 1970s when long term potentiation (LTP) was introduced to the scientific world;several studies have been devoted to determining whether this phenomenon is naturally abasic mechanism of learning and memory in mammalian brains. However, plenty of
Gholamali Hamidi +2 more
doaj
Organization and long-term memory search [PDF]
Memory & Cognition, 1973 A recognition RT paradigm was used to assess a number of plausible search strategies in LTM for categorized lists. List length was determined by factorially combining two, three, or five categories with two, three, or five words per category, and test items could be one of four types: (1) positive, (2) a repeated positive, (3) a related negative, or (4)
openaire +2 more sources
Long-Term Traffic Prediction Using Deep Learning Long Short-Term Memory
Smart CitiesTraffic conditions are a key factor in our society, contributing to quality of life and the economy, as well as access to professional, educational, and health resources. This emphasizes the need for a reliable road network to facilitate traffic fluidity
Ange-Lionel Toba +3 more
doaj +1 more source
Active Long Term Memory Networks
CoRR, 2016 Continual Learning in artificial neural networks suffers from interference and forgetting when different tasks are learned sequentially. This paper introduces the Active Long Term Memory Networks (A-LTM), a model of sequential multi-task deep learning that is able to maintain previously learned association between sensory input and behavioral output ...
Tommaso Furlanello +4 more
openaire +2 more sources
Long Term Care Ombudsman Annual Report, 2002
, 2003 October 1, 2002 to September 30 ...
Kansas. Long Term Care Ombudsman
core
Long-term working memory: A computational implementation for chess expertise [PDF]
, 2000 Long-term working memory (Ericsson and Kintsch, 1995) is a theory covering empirical data from several domains, including expert behaviour. One difficulty in applying and evaluating this theory, however, is that it is framed in rather general terms, and ...
Gobet, F
core +3 more sources