Search results for "Sequence learning"

showing 5 items of 25 documents

On the impact of forgetting on learning machines

1995

People tend not to have perfect memories when it comes to learning, or to anything else for that matter. Most formal studies of learning, however, assume a perfect memory. Some approaches have restricted the number of items that could be retained. We introduce a complexity theoretic accounting of memory utilization by learning machines. In our new model, memory is measured in bits as a function of the size of the input. There is a hierarchy of learnability based on increasing memory allotment. The lower bound results are proved using an unusual combination of pumping and mutual recursion theorem arguments. For technical reasons, it was necessary to consider two types of memory : long and sh…

Theoretical computer scienceActive learning (machine learning)Computer scienceSemi-supervised learningMutual recursionArtificial IntelligenceInstance-based learningHierarchyForgettingKolmogorov complexitybusiness.industryLearnabilityAlgorithmic learning theoryOnline machine learningInductive reasoningPumping lemma for regular languagesTerm (time)Computational learning theoryHardware and ArchitectureControl and Systems EngineeringArtificial intelligenceSequence learningbusinessSoftwareCognitive psychologyInformation SystemsJournal of the ACM
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A Posture Sequence Learning System for an Anthropomorphic Robotic Hand

2003

The paper presents a cognitive architecture for posture learning of an anthropomorphic robotic hand. Our approach is aimed to allow the robotic system to perform complex perceptual operations, to interact with an human user and to integrate the perceptions by a cognitive representation of the scene and the observed actions. The anthropomorphic robotic hand imitates the gestures acquired by the vision system in order to learn meaningful movements, to build its knowledge by different conceptual spaces and to perform complex interaction with the human operator.

Visual perceptionHand posture recognitionComputer scienceMachine visionGeneral Mathematicsmedia_common.quotation_subjectHuman–computer interfaceHuman-computer interfaceRobotics; Imitation learning; Machine learningHuman–computer interactionPerceptionMachine learningComputer visionConceptual spacesmedia_commonConceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryVisual perceptionImitation learningRepresentation (systemics)CognitionCognitive architectureComputer Science ApplicationsRoboticControl and Systems EngineeringSequence learningArtificial intelligencebusinessSoftwareGesture
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Adaptive variable structure fuzzy neural identification and control for a class of MIMO nonlinear system

2013

This paper presents a novel adaptive variable structure (AVS) method to design a fuzzy neural network (FNN). This AVS-FNN is based on radial basis function (RBF) neurons, which have center and width vectors. The network performs sequential learning through sliding data window reflecting system dynamic changes, and dynamic growing-and-pruning structure of FNN. The salient characteristics of the AVS-FNN are as follows: (1) Structure-learning and parameters estimation are performed automatically and simultaneously without partitioning input space and selecting initial parameters a priori. The structure-learning approach relies on the contribution of the size of the output. (2) A set of fuzzy r…

fuzzy neural networkArtificial neural networkNeuro-fuzzyComputer Networks and CommunicationsApplied MathematicsProcess (computing)Fuzzy logicWeightingControl and Systems EngineeringControl theorySignal ProcessingA priori and a posterioriRadial basis functionSequence learningMathematics
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Anodal Transcranial Direct Current Stimulation Over Prefrontal Cortex Slows Sequence Learning in Older Adults

2022

Aging is associated with declines in sensorimotor function. Several studies have demonstrated that transcranial direct current stimulation (tDCS), a form of non-invasive brain stimulation, can be combined with training to mitigate age-related cognitive and motor declines. However, in some cases, the application of tDCS disrupts performance and learning. Here, we applied anodal tDCS either over the left prefrontal cortex (PFC), right PFC, supplementary motor complex (SMC), the left M1, or in a sham condition while older adults (n = 63) practiced a Discrete Sequence Production (DSP), an explicit motor sequence, task across 3 days. We hypothesized that stimulation to either the right or left P…

reaction timeBehavioral NeurosciencePsychiatry and Mental healthprefrontal cortexNeuropsychology and Physiological PsychologyNeurologylearning impairmentmotor sequence learningchunkingexplicit learningBiological Psychiatryolder adultstDCS
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A Process-Oriented View of Procedural Memory Can Help Better Understand Tourette’s Syndrome

2021

Tourette’s syndrome (TS) is a neurodevelopmental disorder characterized by repetitive movements and vocalizations, also known as tics. The phenomenology of tics and the underlying neurobiology of the disorder have suggested that the altered functioning of the procedural memory system might contribute to its etiology. However, contrary to the robust findings of impaired procedural memory in neurodevelopmental disorders of language, results from TS have been somewhat mixed. We review the previous studies in the field and note that they have reported normal, impaired, and even enhanced procedural performance. These mixed findings may be at least partially be explained by the diversity of the s…

sequence learningstatistical learningTourette’s syndromebasal gangliaatypical developmentNeurosciences. Biological psychiatry. Neuropsychiatryprocedural memoryRC321-571Frontiers in Human Neuroscience
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