Results 21 to 30 of about 11,481,557 (303)

CMIP and ATP2C2 Modulate Phonological Short-Term Memory in Language Impairment [PDF]

, 2009
Specific language impairment (SLI) is a common developmental disorder characterized by difficulties in language acquisition despite otherwise normal development and in the absence of any obvious explanatory factors.
Dworzynski, K., Helms, P., Dorothy V.M. Bishop, Helms, Peter J., Newbury, D., Hennessy, E, Addis, Laura, Andrea Everitt, Pickles, A, Seckl, J, Addis, L., Buckingham, Lyn-Louise, Helms, P. J., Anne O'Hare, Bishop, Dorothy V.M., Slonims, V., Emily Simonoff, Silvia Paracchini, Andrew Pickles, Slonims, Vicky, O'Hare, A, Simkin, Z, Simonoff, Emily, Duncan Shaw, Winchester, L, Pickles, A., Kindley, AD, Everitt, A., Vicky Slonims, Seckl, J. R., Bishop, DV, Clark, Ann, Gina Conti-Ramsden, Cohen, W., Buckingham, L., Conti-Ramsden, G., Hilary Cowie, Monaco, Anthony P., Seckl, J., Baird, Gillian, Cowie, Hilary, Newbury, D F, Hennessy, E., Newbury, D. F., Goodyer, Ian M., Baird, G., Katharina Dworzynski, Laura Winchester, Cohen, Wendy, Laura Addis, Buckingham, LL, Kindley, A. D., Hennessy, Elizabeth, Nasir, J., Helms, PJ, Conti-Ramsden, Gina, Bishop, D., Fisher, Simon, Paracchini, S, Goodyer, IM, Dworzynski, KD, Everitt, Andrea, Pickles, Andrew, Clark, A, Jamal Nasir, Jiannis Ragoussis, Shaw, D., Siminoff, E, Newbury, DF, Bolton, Patrick F., Lyn-Louise Buckingham, Paracchini, S., Dianne F. Newbury, Simkin, Zoe, Fisher, S. E., Anthony P. Monaco, Simkin, Z., Goodyer, I. M., Goodyer, I., Buckingham, Lyn Louise, Zoe Simkin, Miller, Laura L., O'Hare, A., Ian M. Goodyer, Ragoussis, J., Clark, A., Miller, L. L., Simonoff, Emily; id_orcid, Ragoussis, Jiannis, Wendy Cohen, Nasir, J, Ann Clark, Miller, LL, Dworzynski, Katharina, Seckl, JR, Monaco, AP, Ragoussis, Ioannis, Seckl, Jonathon R., Simon E. Fisher, Patrick F. Bolton, O'Hare, Anne, Shaw, D, Addis, L, Bishop, D. V. M., Ragoussis, J, Everitt, A, Watson, J, Peter J. Helms, Cowie, H., Cohen, W, Miller, L., Monaco, A., Paracchini, Silvia, Watson, J., Bolton, PF, Newbury, Dianne, Bolton, P. F., Buckingham, L. L., Shaw, Darren, Monaco, Anthony, Bishop, Dorothy V. M., Miller, Laura L, Jocelynne Watson, Dworzynski, K, Kindley, A. David, Kindley, A., A. David Kindley, Laura L. Miller, Baird, G, Fisher, S., Bolton, P., Fisher, SE, Conti-Ramsden, G, Cowie, H, Monaco, A. P., Slonims, V, Nasir, Jamal, Winchester, L., Bishop, DVM, Watson, Jocelynne, Newbury, Dianne F., Simonoff, E, Winchester, Laura, Jonathon R. Seckl, Gillian Baird, Simonoff, E., Fisher, Simon E., Elizabeth Hennessy, Bishop, Dorothy, Shaw, Duncan   +149 more
core   +5 more sources

On separating long- and short-term memories in hyperdimensional computing [PDF]

Frontiers in Neuroscience, 2023
Operations on high-dimensional, fixed-width vectors can be used to distribute information from several vectors over a single vector of the same width. For example, a set of key-value pairs can be encoded into a single vector with multiplication and addition of the corresponding key and value vectors: the keys are bound to their values with component ...
Jeffrey L. Teeters, Denis Kleyko, Denis Kleyko, Pentti Kanerva, Bruno A. Olshausen   +4 more
openaire   +4 more sources

Optimizing sentiment analysis of Nigerian 2023 presidential election using two-stage residual long short term memory

Heliyon, 2023
Sentiment analysis is the process of recognizing positive or negative attitudes in text. This technique makes use of computational linguistics, text analysis, and natural language processing.
David Opeoluwa Oyewola, Lawal Abdullahi Oladimeji, Sowore Olatunji Julius, Lummo Bala Kachalla, Emmanuel Gbenga Dada   +4 more
doaj   +1 more source

Video Summarization with Long Short-Term Memory [PDF]

, 2016
We propose a novel supervised learning technique for summarizing videos by automatically selecting keyframes or key subshots. Casting the problem as a structured prediction problem on sequential data, our main idea is to use Long Short-Term Memory (LSTM), a special type of recurrent neural networks to model the variable-range dependencies entailed in ...
Ke Zhang 0028, Wei-Lun Chao, Fei Sha, Kristen Grauman   +3 more
openaire   +4 more sources

Aircraft Gearbox Fault Diagnosis System: An Approach based on Deep Learning Techniques

Journal of Intelligent Systems, 2020
Gearbox is one of the vital components in aircraft engines. If any small damage to gearbox, it can cause the breakdown of aircraft engine. Thus it is significant to study fault diagnosis in gearbox system.
Mallikarjuna P B, Sreenatha M, Manjunath S, Kundur Niranjan C   +3 more
doaj   +1 more source

THE PSYCHOLINGUISTIC BASIS OF THE LINGUISTIC CONCEPTUALIZATION

Revista de Investigaciones Universidad del Quindío, 2022
   The object of this article is the methodology of psycholinguistics concerning analyzing concepts. The article's relevance is due to the need to apply new approaches to linguistic phenomena analysis, for which a purely linguistic methodology is not
Zhao Yuanze, Gulnara F. Kudinova, Ilya V. Kudinov, Valery F. Aitov   +3 more
doaj   +1 more source

Associative Long Short-Term Memory

CoRR, 2016
ICML ...
Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves   +4 more
openaire   +3 more sources

Effect of acute predator stress on learning and memory in a zebrafish model

National Journal of Physiology, Pharmacy and Pharmacology, 2023
Background: In zebrafish, the stress system is represented by the hypothalamo–pituitary–interrenal axis which is similar to human HPA axis. Several studies have reported that stress affects the learning and memory in humans and rodents.
Latha Ramalingam, Vijay Madhaiyan
doaj   +1 more source

Performance optimization for Intrusion Detection by Long Short Term Memory (LSTM) [PDF]

E3S Web of Conferences, 2023
Concerns about cyber threats have emerged as the expansion of system connectivity and the proliferation of system applications intensified in the industry.
Khatkar Monika, Kumar Kaushal, Kumar Brijesh, Sohal Asha, Sharma Kriti, Bisht Amita, Sankara Babu B., Gulati Monica, Manasa M.   +8 more
doaj   +1 more source

Parallelizable Stack Long Short-Term Memory [PDF]

Proceedings of the Third Workshop on Structured Prediction for, 2019
Stack Long Short-Term Memory (StackLSTM) is useful for various applications such as parsing and string-to-tree neural machine translation, but it is also known to be notoriously difficult to parallelize for GPU training due to the fact that the computations are dependent on discrete operations.
Shuoyang Ding, Philipp Koehn
openaire   +4 more sources