Multinomial processing tree models

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Bayesian modeling of the Mnemonic Similarity Task using multinomial processing trees

Behaviormetrika, 2023
The Mnemonic Similarity Task (MST: Stark et al., 2019) is a modified recognition memory task designed to place strong demand on pattern separation. The sensitivity and reliability of the MST make it an extremely valuable tool in clinical settings. We develop new cognitive models, based on the multinomial processing tree framework, for two versions of ...
Michael D. Lee, Craig E. L. Stark
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Using a Multinomial Tree Model for Detecting Mixtures in Perceptual Detection

Frontiers in Psychology, 2014
In the area of memory research there have been two rival approaches for memory measurement– signal detection theory (SDT) and multinomial processing trees (MPT).
Richard Anthony Chechile
doaj +1 more source

A Multinomial Processing Tree Model of the 2-back Working Memory Task

Computational Brain & Behavior, 2022
The n-back task is a widely used behavioral task for measuring working memory and the ability to inhibit interfering information. We develop a novel model of the commonly used 2-back task using the cognitive psychometric framework provided by Multinomial Processing Trees.
Michael D. Lee, Percy K. Mistry, Vinod Menon +2 more
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Sentiment Analysis of Product Reviews Using Fine-Tuned LLaMa-3 Model: Evaluation with Comprehensive Benchmark Metrics [PDF]

ITM Web of Conferences
Sentiment analysis, a crucial subfield of natural language processing, enables businesses and policymakers to understand public emotions and opinions, essential for crafting effective strategies across industries like marketing and customer service.
Wang Yili
doaj +1 more source

Extending multinomial processing tree models to measure the relative speed of cognitive processes [PDF]

Psychonomic Bulletin & Review, 2016
Multinomial processing tree (MPT) models account for observed categorical responses by assuming a finite number of underlying cognitive processes. We propose a general method that allows for the inclusion of response times (RTs) into any kind of MPT model to measure the relative speed of the hypothesized processes.
Heck, Daniel W., Erdfelder, Edgar
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Predicting Behavior With Implicit Measures: Disillusioning Findings, Reasonable Explanations, and Sophisticated Solutions

Frontiers in Psychology, 2019
Two decades ago, the introduction of the Implicit Association Test (IAT) sparked enthusiastic reactions. With implicit measures like the IAT, researchers hoped to finally be able to bridge the gap between self-reported attitudes on one hand and behavior ...
Franziska Meissner +4 more
doaj +1 more source

A multinomial processing tree model for degradation and redintegration in immediate recall [PDF]

Memory & Cognition, 1993
When items are presented for immediate recall, a verbal trace is formed and degrades quickly, becoming useless after about 2 sec. The span for items such as digits equals the number of items that can be pronounced in the available time. The length of the items affects span by affecting pronunciation rate.
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Appletree: A multinomial processing tree modeling program for macintosh computers [PDF]

Behavior Research Methods, Instruments, & Computers, 1999
Multinomial processing tree (MPT) models are statistical models that allow for the prediction of categorical frequency data by sets of unobservable (cognitive) states. In MPT models, the probability that an event belongs to a certain category is a sum of products of state probabilities.
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Oxygen‐Tunnel Indium Tin Oxide Vertical Channel Transistors with Enhanced Current Density and Reliability for Monolithic 3D Compute‐In‐Memory Systems

Advanced Functional Materials, EarlyView.
Oxygen‐tunnel (OT) indium tin oxide (ITO) vertical channel transistors (VCTs) enable reliable, high‐density gain‐cell memory for monolithic 3D integration. A sandwiched SiN/SiO2/SiN OT stack selectively regulates oxygen transport, suppressing parasitic electrode oxidation while stabilizing channel oxygen vacancies, thereby suppressing carrier injection
Hyeonho Gu +17 more
wiley +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
wiley +1 more source

machine learning
recognition heuristic