A theory of memory for binary sequences: Evidence for a mental compression algorithm in humans
Working memory capacity can be improved by recoding the memorized information in a
condensed form. Here, we tested the theory that human adults encode binary sequences of …
condensed form. Here, we tested the theory that human adults encode binary sequences of …
Brain-imaging evidence for compression of binary sound sequences in human memory
According to the language-of-thought hypothesis, regular sequences are compressed in
human memory using recursive loops akin to a mental program that predicts future items …
human memory using recursive loops akin to a mental program that predicts future items …
Modality-specific and modality-independent neural representations work in concert in predictive processes during sequence learning
Probabilistic sequence learning supports the development of skills and enables predictive
processing. It remains contentious whether visuomotor sequence learning is driven by the …
processing. It remains contentious whether visuomotor sequence learning is driven by the …
A process-oriented view of procedural memory can help better understand Tourette's syndrome
Tourette's syndrome (TS) is a neurodevelopmental disorder characterized by repetitive
movements and vocalizations, also known as tics. The phenomenology of tics and the …
movements and vocalizations, also known as tics. The phenomenology of tics and the …
Disentangling abstraction from statistical pattern matching in human and machine learning
The ability to acquire abstract knowledge is a hallmark of human intelligence and is believed
by many to be one of the core differences between humans and neural network models …
by many to be one of the core differences between humans and neural network models …
Lexical surprisal shapes the time course of syntactic structure building
When we understand language, we recognize words and combine them into sentences. In
this article, we explore the hypothesis that listeners use probabilistic information about …
this article, we explore the hypothesis that listeners use probabilistic information about …
Humans parsimoniously represent auditory sequences by pruning and completing the underlying network structure
Successive auditory inputs are rarely independent, their relationships ranging from local
transitions between elements to hierarchical and nested representations. In many situations …
transitions between elements to hierarchical and nested representations. In many situations …
[HTML][HTML] Perceiving structure in unstructured stimuli: Implicitly acquired prior knowledge impacts the processing of unpredictable transitional probabilities
It is unclear how implicit prior knowledge is involved and remains persistent in the extraction
of the statistical structure underlying sensory input. Therefore, this study investigated …
of the statistical structure underlying sensory input. Therefore, this study investigated …
Statistical learning occurs during practice while high-order rule learning during rest period
Knowing when the brain learns is crucial for both the comprehension of memory formation
and consolidation and for develo** new training and neurorehabilitation strategies in …
and consolidation and for develo** new training and neurorehabilitation strategies in …
Dissociation between two aspects of procedural learning in Tourette syndrome: Enhanced statistical and impaired sequence learning
Tourette syndrome (TS) is a childhood-onset neurodevelopmental disorder that primarily
affects the cortico-basal ganglia-thalamo-cortical (CBGTC) circuitry and is characterized by …
affects the cortico-basal ganglia-thalamo-cortical (CBGTC) circuitry and is characterized by …