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Efficient Estimation of Word Representations in Vector SpaceDevelopmental and Evolutionary Lexicon Acquisition in Cognitive Agents/Robots with Grounding Principle: A Short ReviewNeural representations of events arise from temporal community structure.Amnesia and the declarative/nondeclarative distinction: a recurrent network model of classification, recognition, and repetition priming.A gene network model for developing cell lineages.Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia.State-dependent computations: spatiotemporal processing in cortical networks.A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case.Cortical-subcortical re-entrant circuits and recurrent behaviour.Financial Time Series Prediction Using Elman Recurrent Random Neural NetworksThe ERP signature of the contextual diversity effect in visual word recognition.Abstraction and generalization in statistical learning: implications for the relationship between semantic types and episodic tokens.Fracture Mechanics Method for Word Embedding Generation of Neural Probabilistic Linguistic Model.Using domain-general principles to explain children's causal reasoning abilities.Mental representation of verb meaning: behavioral and electrophysiological evidence.TRACX2: a connectionist autoencoder using graded chunks to model infant visual statistical learning.Dynamical Integration of Language and Behavior in a Recurrent Neural Network for Human-Robot Interaction.Scalable hybrid computation with spikesA neurocomputational model of automatic sequence production.Connectionism and developmental psychology.The implicit function as squashing time model: a novel parallel nonlinear EEG analysis technique distinguishing mild cognitive impairment and Alzheimer's disease subjects with high degree of accuracy.Nature, Nurture or Interacting Developmental Systems? Endophenotypes for learning systems bridge genes, language and development.Simple recurrent networks learn context-free and context-sensitive languages by counting.Recurrent kernel machines: computing with infinite echo state networks.Representing objects, relations, and sequences.A machine learning method for extracting symbolic knowledge from recurrent neural networks.A model of corticostriatal plasticity for learning oculomotor associations and sequences.The development of complex sentence interpretation in typically developing children compared with children with specific language impairments or early unilateral focal lesions.Disruption of sequential priming in organic and pharmacological amnesia: a role for the medial temporal lobes in implicit contextual learning.The crystallizing substochastic sequential machine extractor: CrySSMEx.LinMap: visualizing complexity gradients in evolutionary landscapes.Computational Foundations of Natural Intelligence.Emergent oscillations in evolutionary simulations: oscillating networks increase switching efficacy.Dissociable processes for learning the surface structure and abstract structure of sensorimotor sequences.Rule-based and Word-level Statistics-based Processing of Language: Insights from Neuroscience.Rules rule! Brain activity dissociates the representations of stimulus contingencies with varying levels of complexity.Higher-order associative learning in amnesia: evidence from the serial reaction time task.Spike-timing-dependent Hebbian plasticity as temporal difference learning.Using Predictability for Lexical Segmentation.The neuronal replicator hypothesis.
P2860
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P2860
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована в червні 1990
@uk
name
Finding structure in time
@en
Finding structure in time
@nl
type
label
Finding structure in time
@en
Finding structure in time
@nl
prefLabel
Finding structure in time
@en
Finding structure in time
@nl
P1433
P1476
Finding structure in time
@en
P2093
P304
P356
10.1016/0364-0213(90)90002-E
P577
1990-06-01T00:00:00Z