Results 81 to 90 of about 11,885,428 (200)
This review aims to classify and clarify, from a neuroanatomical, neurophysiological, and psychological perspective, different memory models that are currently widespread in the literature as well as to describe their origins.
Eduardo Camina +2 more
doaj +1 more source
xLSTM: Extended Long Short-Term Memory
Code available at https://github.com/NX-AI ...
Maximilian Beck +8 more
openaire +3 more sources
Long Short Term Memory on Chronic Laryngitis Classification
Abstract The classification study with the use of machine learning concepts has been applied for years, and one of the aspects in which this can be applied is for the analysis of speech acoustics applied to the analysis of pathologies. Among the pathologies present, one of them is chronic laryngitis. Thus, this article aims to present the results for
Guedes, Victor +4 more
openaire +3 more sources
Structure of long short term memory(LSTM).
Structure of long short term memory(LSTM).
Changjun Zhou (451444) +2 more
core +1 more source
Detecting fake speech in voice-based authentication systems is crucial for reliability. Traditional methods often struggle because they can't handle the complex patterns over time.
Arsalan R. Mirza +1 more
doaj +1 more source
Performance- and stimulus-dependent oscillations in monkey prefrontal cortex during short-term memory [PDF]
Short-term memory requires the coordination of sub-processes like encoding, retention, retrieval and comparison of stored material to subsequent input. Neuronal oscillations have an inherent time structure, can effectively coordinate synaptic integration
Rodriguez, E.F. +30 more
core +1 more source
Simulation and Empirical Studies of Long Short-Term Memory Performance to Deal with Limited Data
This research is proposed to determine the performance of time series machine learning in the presence of noise, where this approach is intended to forecast time series data.
Khusnia Nurul Khikmah +2 more
doaj +1 more source
Extreme-Long-short term memory for Time-series Prediction
This thesis introduces a novel neural network, the Extreme Long Short-Term Memory (E-LSTM), combine the advantages of Long Short-Term Memory (LSTM) networks and Extreme Learning Machines (ELM).
Sida Xing (4180396)
core
Temporal information processing in short- and long-term memory of patients with schizophrenia [PDF]
Cognitive deficits of patients with schizophrenia have been largely recognized as core symptoms of the disorder. One neglected factor that contributes to these deficits is the comprehension of time.
Krueger Frank +17 more
core +1 more source
Short-term and working memory in children with specific language impairment [PDF]
Investigations of the cognitive processes underlying Specific Language Impairment (SLI) have implicated deficits in the storage and processing of phonological or verbal information.
Archibald, Lisa M. D.
core

