Simon Dennis

ORCID: 0000-0002-1890-1187
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Memory Processes and Influences
  • Topic Modeling
  • Deception detection and forensic psychology
  • Natural Language Processing Techniques
  • Memory and Neural Mechanisms
  • Child and Animal Learning Development
  • Mental Health Research Topics
  • Domain Adaptation and Few-Shot Learning
  • COVID-19 Digital Contact Tracing
  • Advanced Text Analysis Techniques
  • Speech and dialogue systems
  • Privacy, Security, and Data Protection
  • Intelligent Tutoring Systems and Adaptive Learning
  • Neurobiology of Language and Bilingualism
  • Misinformation and Its Impacts
  • Identity, Memory, and Therapy
  • Functional Brain Connectivity Studies
  • Information Retrieval and Search Behavior
  • Neural and Behavioral Psychology Studies
  • Neural Networks and Applications
  • Machine Learning and Algorithms
  • Reading and Literacy Development
  • COVID-19 epidemiological studies
  • Language Development and Disorders
  • Cognitive Science and Education Research

The University of Melbourne
2017-2024

The Ohio State University
2007-2024

Australian Psychological Society
2018-2024

University of Colorado Boulder
2003-2023

Services Australia
2022

University of Newcastle Australia
2013-2021

Hanyang University
2020

Stellenbosch University
2020

University of Tasmania
2018

The University of Adelaide
2006-2010

Significance The rodent hippocampus contains neurons that code for space on the scale of meters, a discovery was recently awarded Nobel Prize. However, it remains unclear whether humans harness similar representations memory at their lives. Our results reveal human represents spatial and temporal location memories real-life events scales up to 30 km month time. They further suggest real-world time are more intimately entwined in than previously thought, validating relevance decades studies...

10.1073/pnas.1507104112 article EN cc-by Proceedings of the National Academy of Sciences 2015-08-17

Item noise models of recognition assert that interference at retrieval is generated by the words from study list. Context contexts in which test word has appeared. The authors introduce bind cue decide model episodic memory, a Bayesian context model, and demonstrate how it can account for data item dual-processing approaches to memory. From perspective, list strength length effects, mirror effect frequency concreteness, effects similarity other are considered. process dissociation on length,...

10.1037/0033-295x.108.2.452 article EN Psychological Review 2001-01-01

A powerful theoretical framework for exploring recognition memory is the global matching framework, in which a cue's strength reflects similarity of retrieval cues being matched against contents simultaneously. Contributions at can be categorized as matches and mismatches to item context cues, including self match (match on context), noise context, mismatch item), item, background (mismatch context). We present model that directly parameterizes enables estimation magnitude each interference...

10.1037/a0038692 article EN Psychological Review 2015-03-02

In response to the COVID-19 pandemic, many Governments are instituting mobile tracking technologies perform rapid contact tracing. However, these only effective if public is willing use them, implying that their perceived health benefits must outweigh personal concerns over privacy and security. The Australian federal government recently launched ‘COVIDSafe’ app, designed anonymously register nearby contacts. If a later identifies as infected with COVID-19, department officials can rapidly...

10.1371/journal.pone.0244827 article EN cc-by PLoS ONE 2021-01-22

The nature of the COVID-19 pandemic may require governments to use privacy-encroaching technologies help contain its spread. One technology involves co-location tracking through mobile Wi-Fi, GPS, and Bluetooth permit health agencies monitor people’s contact with each other, thereby triggering targeted social-distancing when a person turns out be infected. effectiveness relies on willingness population support such privacy encroaching measures. We report results two large surveys in United...

10.1371/journal.pone.0245740 article EN cc-by PLoS ONE 2021-01-22

10.1007/s10803-010-1103-y article EN Journal of Autism and Developmental Disorders 2010-09-13

The human posteromedial cortex, which includes core regions of the default mode network (DMN), is thought to play an important role in episodic memory. However, nature and functional representations these brain remain unspecified. Nine participants (all female) wore smartphone devices record episodes from their daily lives for multiple weeks, each night indicating personally-salient attributes episode. Participants then relived experiences fMRI scanner cued by images own lives....

10.1038/s41598-018-32879-0 article EN cc-by Scientific Reports 2018-10-02

Abstract Starting from Marr's ideas about levels of explanation, a theory the data structures and access processes in human memory is demonstrated on 10 tasks. Functional characteristics are captured implementation-independently. Our generates multidimensional task classification subsuming existing classifications such as distinction between tasks that implicit versus explicit, driven conceptually driven, simple associative (two-way bindings) higher order (threeway bindings), providing broad...

10.1017/s0140525x00036451 article EN Behavioral and Brain Sciences 1994-12-01

Episodic memory involves the formation of relational structures that bind information about stimuli people experience to contexts in which they them. The ability form and retain such may be at core development episodic memory. In first experiment reported here, 4- 7-year-olds were presented with paired-associate learning tasks requiring different complexity. A multinomial-processing tree model was applied estimate use two age groups. two-way list-context-to-target three-way found increase...

10.1177/0956797613487385 article EN Psychological Science 2013-09-20

Taiwan has been successful in controlling the spread of SARS-CoV-2 during COVID-19 pandemic; however, without a vaccine threat second outbreak remains. Young adults who show few to no symptoms when infected have identified many countries as driving virus’ through unidentifiable community transmission. Mobile tracking technologies register nearby contacts user and notifies them if one later tests positive virus, potentially solving this issue; effectiveness these depends on their acceptance...

10.3390/ijerph18031332 article EN International Journal of Environmental Research and Public Health 2021-02-02

<sec> <title>BACKGROUND</title> Generative Artificial Intelligence (AI) chatbots have the potential to improve mental health care for practitioners and clients. Evidence demonstrates that AI can assist with tasks such as documentation, research, counselling, therapeutic exercises. However, research examining practitioners’ perspectives is limited. </sec> <title>OBJECTIVE</title> Drawing on qualitative quantitative data, this mixed-methods study investigates: (1) different uses of chatbots;...

10.2196/preprints.71065 preprint EN 2025-01-09

<sec> <title>UNSTRUCTURED</title> Introduction: Mindfulness meditation has demonstrated modest benefits for mental health and wellbeing, although the relationship between practice dose outcomes is unclear. Meta-analyses randomized controlled trials have shown mixed results so far, such may stem from methodological issues rather than reflecting absence of an underlying effect. Research outside structured programs suggests that long-term time linked to positive outcomes, but bias due...

10.2196/preprints.72786 preprint EN cc-by 2025-02-17

This article compares search effectiveness when using query-based Internet (via the Google engine), directory-based Yahoo) and phrase-based query reformulation assisted Hyperindex browser) by means of a controlled, user-based experimental study. The focus was to evaluate aspects process. Cognitive load measured secondary digit-monitoring task quantify effort user in various states; independent relevance judgements were employed gauge quality documents accessed during Time monitored states....

10.1145/345508.345598 article EN 2000-07-01

It is commonly reported that children with autism spectrum disorder (ASD) exhibit hyper-reactivity or hypo-reactivity to sensory stimuli. Electroencephalography (EEG) used study neural reactivity, suggesting statistical analysis of EEG recordings a potential means automatic classification the disorder. taken from children, however, are frequently contaminated large amounts noise, making difficult. In this paper, we present method for extraction noise-robust features, which serve quantify...

10.1186/1866-1955-6-12 article EN cc-by Journal of Neurodevelopmental Disorders 2014-05-23
Coming Soon ...