Predictive memory and the surprising gap

Predictive memory and the surprising gap

Bibliographic Details
Main Author:	Felipe eDe Brigard
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2012-10-01
Series:	Frontiers in Psychology
Subjects:	Memory Prediction error Bayesian Models retrieval ACT-R hierarchical prediction
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fpsyg.2012.00420/full

Similar Items

Synapses, predictions, and prediction errors: A neocortical computational study of MDD using the temporal memory algorithm of HTM
by: Mohamed A. Sherif, et al.
Published: (2023-02-01)

Bayesian Age-Period-Cohort Modeling and Prediction - BAMP
by: Volker J. Schmid, et al.
Published: (2007-10-01)

The role of attention in conscious recollection
by: Felipe eDe Brigard
Published: (2012-02-01)

Rational Adaptation in Lexical Prediction: The Influence of Prediction Strength
by: Tal Ness, et al.
Published: (2021-04-01)

Adaptation in Predictive Prosodic Processing in Bilinguals
by: Anouschka Foltz
Published: (2021-05-01)

Signed and unsigned reward prediction errors dynamically enhance learning and memory
by: Nina Rouhani, et al.
Published: (2021-03-01)

Spatial-temporal episodic memory modeling for ADLs: encoding, retrieval, and prediction
by: Xinjing Song, et al.
Published: (2023-12-01)

Using an onset-anchored Bayesian hierarchical model to improve predictions for amyotrophic lateral sclerosis disease progression
by: Alex G. Karanevich, et al.
Published: (2018-02-01)

Linking Remote Sensing with APSIM through Emulation and Bayesian Optimization to Improve Yield Prediction
by: Hamze Dokoohaki, et al.
Published: (2022-10-01)

A multi-source data approach to carbon stock prediction using Bayesian hierarchical geostatistical models in plantation forest ecosystems
by: Tsikai S. Chinembiri, et al.
Published: (2024-12-01)

When can predictive brains be truly Bayesian?
by: Mark eBlokpoel, et al.
Published: (2012-11-01)

Planning, prospective memory and decision-making: Three challenges for hierarchical predictive processing models
by: Demis eBasso, et al.
Published: (2013-01-01)

Genomic Prediction Accounting for Residual Heteroskedasticity
by: Zhining Ou, et al.
Published: (2016-01-01)

State anxiety biases estimates of uncertainty and impairs reward learning in volatile environments
by: Thomas P. Hein, et al.
Published: (2021-01-01)

Commentary: Rational Adaptation in Lexical Prediction: The Influence of Prediction Strength
by: Mante S. Nieuwland, et al.
Published: (2021-08-01)

Single-Trial EEG Analysis Predicts Memory Retrieval and Reveals Source-Dependent Differences
by: Eunho Noh, et al.
Published: (2018-07-01)

Illusions and delusions: relating experimentally-induced false memories to anomalous experiences and ideas
by: Philip R Corlett, et al.
Published: (2009-11-01)

The individual true and error model: Getting the most out of limited data
by: Pele Schramm
Published: (2020-09-01)

The individual true and error model: Getting the most out of limited data
by: Pele Schramm
Published: (2020-09-01)

Predicting clinical events using Bayesian multivariate linear mixed models with application to scleroderma
by: Ji Soo Kim, et al.
Published: (2021-11-01)

Is Football/Soccer Purely Stochastic, Made Out of Luck, or Maybe Predictable? How Does Bayesian Reasoning Assess Sports?
by: Leonardo Barrios Blanco, et al.
Published: (2021-10-01)

Enhancing fear extinction
by: Sydney Trask, et al.
Published: (2024-04-01)

A Bayesian Approach to Predict Football Matches with Changed Home Advantage in Spectator-Free Matches after the COVID-19 Break
by: Jaemin Lee, et al.
Published: (2022-03-01)

Stock Price Prediction Based on Morphological Similarity Clustering and Hierarchical Temporal Memory
by: Xingqi Wang, et al.
Published: (2021-01-01)

Surprise! Why Insightful Solution Is Pleasurable
by: Anna Savinova, et al.
Published: (2022-11-01)

When high-capacity readers slow down and low-capacity readers speed up: Working memory and locality effects
by: Bruno eNicenboim, et al.
Published: (2016-03-01)

Evaluating Random Forests for Survival Analysis Using Prediction Error Curves
by: Ulla B. Mogensen, et al.
Published: (2012-09-01)

Hierarchical predictive coding in distributed pain circuits
by: Zhe Sage Chen, et al.
Published: (2023-03-01)

Predicting Verbal Learning and Memory Assessments of Older Adults Using Bayesian Hierarchical Models
by: Endris Assen Ebrahim, et al.
Published: (2022-04-01)

Hierarchical, Memory-Based Movement Models for Translocated Elk (Cervus canadensis)
by: Andrea Falcón-Cortés, et al.
Published: (2021-08-01)

Chlorophyll a as an indicator of microcystin: Short-term forecasting and risk assessment in Lake Erie
by: Song S. Qian, et al.
Published: (2021-11-01)

Reduction of Prediction Errors for the Matrix Converter with an Improved Model Predictive Control
by: Shuang Feng, et al.
Published: (2019-08-01)

Bayesian model selection for spatial capture–recapture models
by: Soumen Dey, et al.
Published: (2019-10-01)

A comparison between Poisson and zero-inflated Poisson regression models with an application to number of black spots in Corriedale sheep
by: Rodrigues-Motta Mariana, et al.
Published: (2008-07-01)

A Comparison of Human and Computational Melody Prediction Through Familiarity and Expertise
by: Matevž Pesek, et al.
Published: (2020-12-01)

Forecasting deforestation in the Brazilian Amazon to prioritize conservation efforts
by: Rodolfo Jaffé, et al.
Published: (2021-01-01)

Optimized long short-term memory (LSTM) network for performance prediction in unconventional reservoirs
by: Kaixuan Qiu, et al.
Published: (2022-11-01)

A Bayesian Predictive Discriminant Analysis with Screened Data
by: Hea-Jung Kim
Published: (2015-09-01)

Large-scale distribution models for optimal prediction of Eastern black rail habitat within tidal ecosystems
by: Bryan S. Stevens, et al.
Published: (2022-10-01)

Neural Differentiation of Incorrectly Predicted Memories
by: Andrea Greve, et al.
Published: (2018-07-01)