Christopher M. Conway
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View article: Addressing the theory crisis in statistical learning research
Addressing the theory crisis in statistical learning research Open
Research into statistical learning, the ability to learn structured patterns in the environment, faces a theory crisis. Specifically, three challenges must be addressed: a lack of robust phenomena to constrain theories, issues with constru…
View article: Probing sensitivity to statistical structure in rapid sound sequences using deviant detection tasks.
Probing sensitivity to statistical structure in rapid sound sequences using deviant detection tasks. Open
Statistical structures and our ability to exploit them are a ubiquitous component of daily life. Yet, we still do not fully understand how we track these sophisticated statistics and the role they play in sensory processing. Predictive cod…
View article: Learning in the face of failure: The benefit of autistic traits
Learning in the face of failure: The benefit of autistic traits Open
This study aims to explore how learning performance differs for non‐diagnosed adults with high and low levels of autistic traits (ATs) for positive versus negative feedback delivered via social and nonsocial stimuli. College student partic…
View article: Addressing the Theory Crisis in Statistical Learning Research
Addressing the Theory Crisis in Statistical Learning Research Open
Research into the construct of statistical learning, the ability to learn structured patterns in the environment, has been exploding in recent years. Despite the plethora of studies, critical reviews have highlighted challenges facing this…
View article: Probing sensitivity to statistical structure in rapid sound sequences using deviant detection tasks
Probing sensitivity to statistical structure in rapid sound sequences using deviant detection tasks Open
Statistical structures and our ability to exploit them are a ubiquitous component of daily life. Yet, we still do not fully understand how we track these sophisticated statistics and the role they play in sensory processing. Predictive cod…
View article: Chunking Versus Transitional Probabilities: Differentiating Between Theories of Statistical Learning
Chunking Versus Transitional Probabilities: Differentiating Between Theories of Statistical Learning Open
There are two main approaches to how statistical patterns are extracted from sequences: The transitional probability approach proposes that statistical learning occurs through the computation of probabilities between items in a sequence. T…
View article: Unraveling the Interconnections Between Statistical Learning and Dyslexia: A Review of Recent Empirical Studies
Unraveling the Interconnections Between Statistical Learning and Dyslexia: A Review of Recent Empirical Studies Open
One important aspect of human cognition involves the learning of structured information encountered in our environment, a phenomenon known as statistical learning. A growing body of research suggests that learning to read print is partiall…
View article: How statistical learning interacts with the socioeconomic environment to shape children’s language development
How statistical learning interacts with the socioeconomic environment to shape children’s language development Open
Language is acquired in part through statistical learning abilities that encode environmental regularities. Language development is also heavily influenced by social environmental factors such as socioeconomic status. However, it is unknow…
View article: Semantic P600—but not N400—effects index crosslinguistic variability in speakers’ expectancies for expression of motion
Semantic P600—but not N400—effects index crosslinguistic variability in speakers’ expectancies for expression of motion Open
The expression of motion shows strong crosslinguistic variability; however, less is known about speakers' expectancies for lexicalizations of motion at the neural level. We examined event-related brain potentials (ERPs) in native English o…
View article: Statistical Learning and Interference in Older and Young Adulthood
Statistical Learning and Interference in Older and Young Adulthood Open
Statistical learning is the ability to implicitly extract statistical patterns embedded within input sequences (Conway, 2020; Saffran, Newport, & Aslin, 1996). It is thought to play a key role in a variety of abilities ranging from lan…
View article: Getting to 'Win' 'Win': the case of the redevelopment of Bellingham, Washington's downtown waterfront
Getting to 'Win' 'Win': the case of the redevelopment of Bellingham, Washington's downtown waterfront Open
Building on Schattschneider's (1960) conflict expansion theory, this study sheds light on the changing role of critical citizens power to delay and defeat development projects. Little attention has been focused on the how the rise in criti…
View article: Concurrent Learning of Adjacent and Nonadjacent Dependencies in Visuo-Spatial and Visuo-Verbal Sequences
Concurrent Learning of Adjacent and Nonadjacent Dependencies in Visuo-Spatial and Visuo-Verbal Sequences Open
Both adjacent and non-adjacent dependencies (AD and NAD) are present in natural language and other domains, yet the learning of non-adjacent sequential dependencies generally only occurs under favorable circumstances. It is currently unkno…
View article: Sequential Learning by Touch, Vision, and Audition
Sequential Learning by Touch, Vision, and Audition Open
We investigated the extent to which touch, vision, and audition are similar in the ways they mediate the processing of statistical regularities within sequential input. While previous research has examined statistical/sequential learning i…
View article: Seeing problems that may not exist: A reply to West et al.'s (2018) questioning of the procedural deficit hypothesis
Seeing problems that may not exist: A reply to West et al.'s (2018) questioning of the procedural deficit hypothesis Open
There are no conflicts of interest to report.
View article: The Promise—and Challenge—of Statistical Learning for Elucidating Atypical Language Development
The Promise—and Challenge—of Statistical Learning for Elucidating Atypical Language Development Open
Statistical learning plays an important role in the acquisition of spoken and written language. It has been proposed that impaired or atypical statistical learning may be linked with language difficulties in developmental disabilities. How…
View article: Under What Conditions Can Recursion Be Learned? Effects of Starting Small in Artificial Grammar Learning of Center‐Embedded Structure
Under What Conditions Can Recursion Be Learned? Effects of Starting Small in Artificial Grammar Learning of Center‐Embedded Structure Open
It has been suggested that external and/or internal limitations paradoxically may lead to superior learning, that is, the concepts of starting small and less is more (Elman, ; Newport, ). In this paper, we explore the type of incremental o…
View article: The Role of Statistical Learning in Understanding and Treating Spoken Language Outcomes in Deaf Children With Cochlear Implants
The Role of Statistical Learning in Understanding and Treating Spoken Language Outcomes in Deaf Children With Cochlear Implants Open
Purpose Statistical learning—the ability to learn patterns in environmental input—is increasingly recognized as a foundational mechanism necessary for the successful acquisition of spoken language. Spoken language is a complex, serially pr…
View article: Lack of Cross-Modal Effects in Dual-Modality Implicit Statistical Learning
Lack of Cross-Modal Effects in Dual-Modality Implicit Statistical Learning Open
A current controversy in the area of implicit statistical learning (ISL) is whether this process consists of a single, central mechanism or multiple modality-specific ones. To provide insight into this question, the current study involved …
View article: Effect of pattern awareness on the behavioral and neurophysiological correlates of visual statistical learning
Effect of pattern awareness on the behavioral and neurophysiological correlates of visual statistical learning Open
Statistical learning is the ability to extract predictive patterns from structured input. A common assumption is that statistical learning is a type of implicit learning that does not result in explicit awareness of learned patterns. Howev…
View article: Learning and Memory Processes Following Cochlear Implantation: The Missing Piece of the Puzzle
Learning and Memory Processes Following Cochlear Implantation: The Missing Piece of the Puzzle Open
At the present time, there is no question that cochlear implants (CIs) work and often work very well in quiet listening conditions for many profoundly deaf children and adults. The speech and language outcomes data published over the last …
View article: Cross-Domain Statistical–Sequential Dependencies Are Difficult to Learn
Cross-Domain Statistical–Sequential Dependencies Are Difficult to Learn Open
Recent studies have demonstrated participants' ability to learn cross-modal associations during statistical learning tasks. However, these studies are all similar in that the cross-modal associations to be learned occur simultaneously, rat…