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Theory of brain function
The memory-prediction framework is a theory of brain function created by Jeff Hawkins and described in his 2004 book On Intelligence. This theory concerns
Memory-prediction_framework
Book by Jeff Hawkins
Jeff Hawkins and Sandra Blakeslee. The book explains Hawkins' memory-prediction framework theory of the brain and describes some of its consequences. Hawkins'
On_Intelligence
Biological theory of intelligence
Convolutional neural network List of artificial intelligence projects Memory-prediction framework Multiple trace theory Neural history compressor Neural Turing
Hierarchical_temporal_memory
American businessperson
the co-author of On Intelligence (2004), which explains his memory-prediction framework theory of the brain, and the author of A Thousand Brains: A New
Jeff_Hawkins
Mammalian structure involved in higher-order brain functions
simulation of a neocortical column and eventually a whole neocortex Memory-prediction framework, a theory of the neocortex function by Jeff Hawkins and related
Neocortex
Machine learning technique
Another related predictive learning theory is Jeff Hawkins' memory-prediction framework, which is laid out in his book On Intelligence. Similar to ML
Predictive_learning
Hypothetical consciousness in artificial systems
LIDA (cognitive architecture) – Artificial model of cognition Memory-prediction framework – Theory of brain function Omniscience – Property of possessing
Artificial_consciousness
Family of views in the philosophy of mind
Cognitive science approach Enactivism – Philosophical concept Memory-prediction framework – Theory of brain function Neurophenomenology – Research into
Computational_theory_of_mind
Overview of and topical guide to thought
management Language acquisition Memorization Memory and aging Memory inhibition Memory-prediction framework Method of loci Mnemonics Neurofeedback Neuro-linguistic
Outline_of_thought
Body parts responsible for vision
effect – how color balance affects vision Magnocellular cell Memory-prediction framework Prosopagnosia Scotopic sensitivity syndrome Recovery from blindness
Visual_system
Probabilistic graphical representation of causal relationships
Expectation–maximization algorithm Factor graph Hierarchical temporal memory Kalman filter Memory-prediction framework Mixture distribution Mixture model Naive Bayes classifier
Bayesian_network
Model of cognition's operation
Distributed cognition Extended mind thesis MindModeling@Home Memory-prediction framework Social cognition Space mapping Sun, R. (ed.), (2008). The Cambridge
Cognitive_model
Branch of geophysics, primarily seismology
Earthquake prediction is an operational objective within the broader framework of earthquake forecasting, specifically representing a forecast where uncertainty
Earthquake_prediction
Mathematical model of memory
networks Memory-prediction framework Neural coding Neural Turing machine Random indexing Self-organizing map Semantic folding Semantic memory Semantic
Sparse_distributed_memory
Melancholia Memory-prediction framework Memory and aging Memory augmentation Memory consolidation Memory effect Memory inhibition Memory suppression Mental
Index_of_psychology_articles
Hypothesis in neuroscience
imaging data as a theoretical framework suggests that the brain reduces surprise or uncertainty by making predictions based on internal models and uses
Free_energy_principle
Theory of brain function
be less trustworthy, the top-down prediction would be given greater weight, and vice versa. The emulation framework was also shown to be hierarchical
Predictive_coding
Cognitive parsing of time into event categories
working memory, with fine-grained event models nested within coarser event models. Many event schemata can map to event models and inform predictions for
Event_perception
Phenomenon in psycholinguistics
Linguistic prediction is a phenomenon in psycholinguistics occurring whenever information about a word or other linguistic unit is activated before that
Prediction in language comprehension
Prediction_in_language_comprehension
System-on-a-chip series designed by Apple Inc.
graphics processing unit (GPU), neural processing unit (NPU), and unified memory on a single package. The base M5 was announced on October 15, 2025 for the
Apple_M5
K, Zhou Y (2016). "Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks". Bioinformatics. 33
List of disorder prediction software
List_of_disorder_prediction_software
Theoretical basis related to motor learning
task to facilitate learning (Guadagnoli and Lee 2004). Predictions from the challenge point framework with respect to CI (refer to motor learning; Guadagnoli
Challenge_point_framework
Microsoft open source gradient boosting framework for machine learning
Gradient-Boosting Machine, is a free and open-source distributed gradient-boosting framework for machine learning, originally developed by Microsoft. It is based on
LightGBM
Order of accesses to computer memory by a CPU
Memory ordering is the order of accesses to computer memory by a CPU. Memory ordering depends on both the order of the instructions generated by the compiler
Memory_ordering
Algorithm for caching data
or often-used data items in memory locations which are faster, or computationally cheaper to access, than normal memory stores. When the cache is full
Cache_replacement_policies
Type of convolutional neural network
liver image segmentation ("siliver07") as well as protein binding site prediction. U-Net implementations have also found use in the physical sciences, for
U-Net
Class of artificial neural network
biological approval of such a type of hierarchy was discussed in the memory-prediction theory of brain function by Hawkins in his book On Intelligence.[citation
Recurrent_neural_network
American computer scientist and writer
displayed a scientific framework for virtual memory and the validating scientific evidence, putting to rest a controversy over virtual memory stability and performance
Peter_J._Denning
Recall of fabricated, misinterpreted or distorted memories
these 5 principles, has proved useful in explaining false memory and generating new predictions about it. However, not all accounts are so embedded in the
Confabulation
Field of study in computer science and biology
using it for speech recognition and nonlinear equation prediction in a reservoir computing framework.[jargon] While researchers are hoping to use OI and
Organoid_intelligence
Subset of artificial intelligence
approximately correct learning provides a mathematical and statistical framework for describing machine learning. Most traditional machine learning and
Machine_learning
Critical factors contributing to the emotional enhancement effect on human memory
autobiographical memory studies. However, as described below, emotion does not always enhance memory. One of the most common frameworks in the emotions
Emotion_and_memory
Machine learning technique
arXiv:2010.11929. Jumper, John (2021). "Highly accurate protein structure prediction with AlphaFold". Nature. 596 (7873): 583–589. Bibcode:2021Natur.596..583J
Attention_(machine_learning)
American computer scientist
the IEEE. Kaeli, David R. and Emma, Phillip G. "Branch history table prediction of moving target branches due to subroutine returns" 1991 ACM/IEEE International
David_R._Kaeli
Argentine–American neuroscientist (born 1971)
co-developed PredNet, a recurrent neural network designed for next-frame video prediction using principles of predictive coding. The architecture and its relation
Gabriel_Kreiman
American psychologist
whereas spontaneous retrieval is not. An important prediction of McDaniel's Multiprocess Framework is that aging impacts prefrontal-cortex-dependent monitoring
Mark_A._McDaniel
Researcher in computational neuroscience
(RL) where he and his colleagues proposed that dopamine signals reward prediction error, and helped develop the Q-learning algorithm. He is co-author of
Peter_Dayan
Sharing of data between running processes in a computer system
monolithic kernel. IPC interfaces generally encompass variable analytic framework structures. These processes ensure compatibility between the multi-vector
Inter-process_communication
Military speech coding standard
Mixed-excitation linear prediction (MELP) is a United States Department of Defense speech coding standard used mainly in military applications and satellite
Mixed-excitation linear prediction
Mixed-excitation_linear_prediction
Process of storage and retrieval memory
recall showed a recency effect. These results violated the predictions of a short-term memory model, where no recency effect would be expected. Koppenaal
Long-term_memory
Tendency of a processor to access nearby memory locations in space or time
have sophisticated branch predictors, and on the basis of this prediction the memory manager of the processor tries to collect and preprocess the data
Locality_of_reference
Advanced method of process control
applications with the feedback mechanism of the MPC compensating for prediction errors due to structural mismatch between the model and the process. In
Model_predictive_control
Cognitive psychology process
Chunks in long-term memory are involved in forming the priors, and they assist with determining the likelihood and prediction of the recall of information
Chunking_(psychology)
Biological memory process in organisms
Robert (1990). "Levels of Processing: A Retrospective Commentary on a Framework for Memory Research" (PDF). Canadian Journal of Psychology. 44: 88. doi:10.1037/h0084237
Encoding_(memory)
Open-source CPU instruction set architecture
interactive simulation with GDB, configurable branch prediction unit with several prediction algorithms and instruction cache and interstage data bypassing
RISC-V
Aspect of meteorological history
The history of numerical weather prediction considers how current weather conditions as input into mathematical models of the atmosphere and oceans to
History of numerical weather prediction
History_of_numerical_weather_prediction
Overview of and topical guide to machine learning
make predictions on data. These algorithms operate by building a model from a training set of example observations to make data-driven predictions or decisions
Outline_of_machine_learning
of RNA structure prediction software is a compilation of software tools and web portals used for nucleic acid structure prediction. The single sequence
List of RNA structure prediction software
List_of_RNA_structure_prediction_software
List of projects maintained by the Apache Software Foundation
server Gobblin: distributed data integration framework Gora: an open source framework that provide an in-memory data model and persistence for big data Griffin:
List of Apache Software Foundation projects
List_of_Apache_Software_Foundation_projects
Mental process dealing with knowledge
irrelevant information. Memory is the ability to retain, store, and retrieve information, including working memory and long-term memory. Thinking encompasses
Cognition
Explaining the brain's abilities through statistical principles
scheme for inferring the causes of sensory input based on minimizing prediction error. These schemes are related formally to Kalman filtering and other
Bayesian approaches to brain function
Bayesian_approaches_to_brain_function
Greek-British computer scientist
F. Blagojevic, D. S. Nikolopoulos, B. R. De Supinski, and M. Schulz, “Prediction models for multi-dimensional power-performance optimization on many cores
Dimitrios_S._Nikolopoulos
Memory system in animals
what-where-when memories, but integrate the what, where and when of the event into an integrated framework. The assessment of episodic-like memory must rely
Episodic-like_memory
Generation and evaluation of mental representations of possible futures
wide array of future-oriented psychological phenomena, including the prediction of future emotion (affective forecasting), the imagination of future scenarios
Prospection
Memory is commonly referred to as the ability to encode, store, retain and subsequently recall information and past experiences in the human brain. This
Deficiency of RbAp48 protein and memory loss
Deficiency_of_RbAp48_protein_and_memory_loss
Cognitive process
Recognizing patterns allows anticipation and prediction of what is to come. Making the connection between memories and information perceived is a step in pattern
Pattern recognition (psychology)
Pattern_recognition_(psychology)
Blueprint for intelligent agents
to further refine comprehensive theories of cognition and serve as the frameworks for useful artificial intelligence programs. Successful cognitive architectures
Cognitive_architecture
Branch of neuroscience
provides a mathematical framework for studying the mechanisms involved in brain function and allows complete simulation and prediction of neuropsychological
Computational_neuroscience
Type of machine learning model
sequence into an embedding. On tasks such as structure prediction and mutational outcome prediction, a small model using an embedding as input can approach
Large_language_model
British technology company
monitoring of machine learning models, through its data-centric, modular framework called Core 2. Seldon was founded in 2014, and joined the Barclays Techstars
Seldon_(company)
Type of recurrent neural network with random and non-trainable internal structure
Reservoir computing is a framework for computation derived from recurrent neural network theory that maps input signals into higher dimensional computational
Reservoir_computing
Class of artificial neural networks
the corresponding node representations in the same way. For graph-level prediction tasks, GNNs typically use a permutation-invariant readout function, whose
Graph_neural_network
Type of reservoir computer
weights; and (ii) the output weights are marginalized out in the context of prediction generation, given the training data. This idea has been demonstrated in
Echo_state_network
Ongoing theorised stock market bubble
Society. doi:10.64628/AAM.xqmhy659t. Williams, Sean (December 19, 2024). "Prediction: The Artificial Intelligence (AI) Bubble Will Burst in 2025. Here's Why"
AI_bubble
Standard for assessing computer system vulnerabilities
The Common Vulnerability Scoring System (CVSS) is a framework for rating the severity of computer system vulnerabilities. Scores are calculated from metrics
Common Vulnerability Scoring System
Common_Vulnerability_Scoring_System
Component of time-locked EEG sign
suggests that the N400 reflects both access to semantic memory (which is sensitive to prediction), and semantic integration (sensitive to plausibility)
N400_(neuroscience)
Israel (August 1994). "Hybrid Signed-Digit Number Systems: A Unified Framework for Redundant Number Representations with Bounded Carry Propagation Chains"
Redundant binary representation
Redundant_binary_representation
Uszkoreit. Their method predicted multiple future tokens through auxiliary prediction heads and validated them against the autoregressive model, but it only
Speculative_decoding
short-term memory (VSTM) is one of three broad memory systems including iconic memory and long-term memory. VSTM is a type of short-term memory, but one
Visual_short-term_memory
Branch of machine learning
Long Short Term Memory, Wikidata Q98967430 Gers, Felix; Schmidhuber, Jürgen; Cummins, Fred (1999). "Learning to forget: Continual prediction with LSTM". 9th
Deep_learning
Algorithm for modelling sequential data
than earlier recurrent neural architectures (RNNs) such as long short-term memory (LSTM). Later variations have been widely adopted for training large language
Transformer_(deep_learning)
Quality related to inquisitive thinking
May 2018. Pathak D. "Curiosity-driven Exploration by Self-supervised Prediction". University of California, Berkeley. Retrieved 5 August 2020. Pathak
Curiosity
Parallel programming model
fits into main memory of a single machine or a small cluster, using a MapReduce framework usually is not effective. Since these frameworks are designed
MapReduce
Technology project funded by the Government of India
of April 2020, the team was working on implementing atomics, memory dependence prediction, instruction window/scheduler optimizations, implementation of
SHAKTI_(microprocessor)
Machine learning strategy
individual data instances. The candidate instances are those for which the prediction is most ambiguous. Instances are drawn from the entire data pool and assigned
Active learning (machine learning)
Active_learning_(machine_learning)
Tendency of software to fail due to external changes or prolonged operation
rejuvenation Prediction based rejuvenation Garbage collection is a form of automatic memory management whereby the system automatically recovers unused memory. For
Software_aging
Field of machine learning
similarly to dynamic programming to achieve optimality, first addressing the prediction problem and then extending to policy improvement and control, all based
Reinforcement_learning
Overview of and topical guide to deep learning
answering Automatic summarization Text-to-image model Protein structure prediction Feedforward neural network Multilayer perceptron Convolutional neural
Outline_of_deep_learning
Application of quantum theory mathematics to cognitive phenomena
or where traditional models seem to have reached a barrier (e.g., human memory), and modeling preferences in decision theory that seem paradoxical from
Quantum_cognition
Problem easily dividable into parallel tasks
scenarios. Genetic algorithms. Ensemble calculations of numerical weather prediction. Event simulation and reconstruction in particle physics. The marching
Embarrassingly_parallel
Computational model used in machine learning
prediction of planetary movement. Computers are based on John von Neumann's model. They execute explicit lists of instructions with access to memory to
Neural network (machine learning)
Neural_network_(machine_learning)
Extracting features from raw data for machine learning
purpose of being used to either train models (by data scientists) or make predictions (by applications that have a trained model). It is a central location
Feature_engineering
Self-awareness about thinking, higher-order thinking skills
metaconceptual knowledge and learning. Metamemory, defined as knowing about memory and mnemonic strategies, is an important aspect of metacognition. Writings
Metacognition
Predicting someone's future emotions (affect)
known as hedonic forecasting or the hedonic forecasting mechanism, is the prediction of one's affect (emotional state) in the future. As a process that influences
Affective_forecasting
Computational analysis of large, complex sets of biological data
drug discovery, protein structure alignment, protein structure prediction, prediction of gene expression and protein–protein interactions, genome-wide
Bioinformatics
Deep learning architecture
pertinent data. The model transitions from a time-invariant to a time-varying framework, which impacts both the computation and efficiency of the system. To address
Mamba (deep learning architecture)
Mamba_(deep_learning_architecture)
predictions of the behavioral function are confirmed. Iteration: Repeat, iteratively refining the theory Rational analysis has been applied to memory
Rational_analysis
AI researcher
NeuCube. He originated theories and computational frameworks of evolving spatio-temporal associative memories, hybrid SNN-quantum systems, personalized modelling
Nikola_Kasabov
Buddhist term for aspirant to enlightenment
resolution to become a Buddha and has also received a confirmation or prediction from a living Buddha that this will come to pass. In Theravāda Buddhism
Bodhisattva
Computer programming concept
estimates once the outcome is known, TD methods adjust predictions to match later, more-accurate predictions about the future, before the outcome is known. This
Temporal_difference_learning
Computational prediction of nucleic acid structure
Nucleic acid structure prediction is a computational method to determine secondary and tertiary nucleic acid structure from its sequence. Secondary structure
Nucleic acid structure prediction
Nucleic_acid_structure_prediction
Topics referred to by the same term
Collaborative filtering, a method of making predictions by collecting information from many users CompactFlash, a type of memory card Compact Floppy, a variation
CF
Open-source deep learning library
programming library written in Java for the Java virtual machine (JVM). It is a framework with wide support for deep learning algorithms. Deeplearning4j includes
Deeplearning4j
Academic conference on computer architecture
Bodík, Rastislav (2001). "Focusing processor policies via critical-path prediction". Proceedings of the 28th annual international symposium on Computer architecture
International Symposium on Computer Architecture
International_Symposium_on_Computer_Architecture
BOINC based volunteer computing project researching protein folding
structure prediction on the Rosetta@home screensaver. In addition to disease-related research, the Rosetta@home network serves as a testing framework for new
Rosetta@home
Authorized cyberattack for testing purposes
assessments as outlined in the NIST Risk Management Framework SP 800-53. Several standard frameworks and methodologies exist for conducting penetration
Penetration_test
Widely used standard for video compression
This includes implicit weighted prediction for B-frames, and explicit weighted prediction for P-frames. Spatial prediction from the edges of neighboring
Advanced_Video_Coding
Decentralized machine learning
"Federated Compressed Learning Edge Computing Framework with Ensuring Data Privacy for PM2.5 Prediction in Smart City Sensing Applications". Sensors.
Federated_learning
Data mining framework
Sahra Sedigh (2015). "An extensible simulation framework for evaluating centralized traffic prediction algorithms". 2015 International Conference on Connected
ELKI
Supercomputer at UC San Diego
Snavely, Allan; Gao, Xiaofeng; Wolter, Nicole (2003). "A Performance Prediction Framework for Scientific Applications" (PDF). San Diego Supercomputer Center
San Diego Supercomputer Center
San_Diego_Supercomputer_Center
MEMORY PREDICTION-FRAMEWORK
MEMORY PREDICTION-FRAMEWORK
Female
English
English name derived from the vocabulary word, MELODY means "melody."
Surname or Lastname
English
English : variant of Embury or Emery.
Girl/Female
Tamil
Memory
Girl/Female
Indian, Sanskrit
Memory
Male
English
Variant spelling of English Emery, EMORY means "work-power."
Girl/Female
Indian
Memory
Girl/Female
Tamil
Memory
Girl/Female
Assamese, Bengali, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
Memory
Girl/Female
Indian
Memory
Girl/Female
Afghan, Arabic, Muslim
Memory
Girl/Female
English American Greek
Melody.
Male
Japanese
(守) Japanese name MAMORU means "protector."
Male
Polish
Polish form of Greek Methodios, METODY means "method."
Surname or Lastname
English
English : variant spelling of Emery.
Girl/Female
Gujarati, Hindu, Indian
Memory
Boy/Male
Australian, Farsi
Memory
Boy/Male
Assamese, Indian
Memory
Girl/Female
Muslim
Memory
Girl/Female
English American Welsh
Merry; mirthful; joyous. Also an abbreviation of Meredith.
Girl/Female
Arabic, Gujarati, Indian, Muslim, Parsi
Memory
MEMORY PREDICTION-FRAMEWORK
MEMORY PREDICTION-FRAMEWORK
Girl/Female
Hindu
Creativity
Girl/Female
Tamil
Vreethika | வà¯à®°à¯€à®¤à¯€à®•à®¾
Girl/Female
Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Modern, Sanskrit, Sindhi, Tamil, Traditional
Lightning; Write; Holy; Pure; Beautiful
Girl/Female
Hindu, Indian, Telugu
Appear; Respectable
Boy/Male
French, Indian
Good Journey
Male
Norse
Short form of Old Norse names starting with Torf- or Torv-, TÓFI means "Thor" or "thunder."
Boy/Male
Tamil
Mauktik | மௌகà¯à®¤à®¿à®•
Pearl
Girl/Female
Arabic, Muslim
True; Sincere; Genuine
Surname or Lastname
English
English : habitational name from a place in Lancashire, named in Old English as ‘eagle’s nook’ or ‘Earn’s nook’, from Old English halh ‘nook’ (see Hale). Earn is the Old English word meaning ‘eagle’; it is also found as a personal name.
Girl/Female
Italian American Latin
Rebirth.
MEMORY PREDICTION-FRAMEWORK
MEMORY PREDICTION-FRAMEWORK
MEMORY PREDICTION-FRAMEWORK
MEMORY PREDICTION-FRAMEWORK
MEMORY PREDICTION-FRAMEWORK
adv.
Beyond memory.
v. t.
The act, process, or result of reducing; as, the reduction of iron from its ores; the reduction of aldehyde from alcohol.
n.
Memory.
a.
Assisting in memory.
n.
A memorial account; a history composed from personal experience and memory; an account of transactions or events (usually written in familiar style) as they are remembered by the writer. See History, 2.
n.
Memory; remembrance.
n.
A prediction.
n.
The actual and distinct retention and recognition of past ideas in the mind; remembrance; as, in memory of youth; memories of foreign lands.
n.
Alt. of Memoirs
pl.
of Memory
n.
Prediction; prophecy.
n.
A memorial.
superl.
Causing laughter, mirth, gladness, or delight; as, / merry jest.
n.
The act of reducing, or state of being reduced; conversion to a given state or condition; diminution; conquest; as, the reduction of a body to powder; the reduction of things to order; the reduction of the expenses of government; the reduction of a rebellious province.
n.
Something, or an aggregate of things, remembered; hence, character, conduct, etc., as preserved in remembrance, history, or tradition; posthumous fame; as, the war became only a memory.
n.
Any one of several species of fishes belonging to Echeneis, Remora, and allied genera. Called also sucking fish.
n.
The act or process or producing, bringing forth, or exhibiting to view; as, the production of commodities, of a witness.
n.
The reach and positiveness with which a person can remember; the strength and trustworthiness of one's power to reach and represent or to recall the past; as, his memory was never wrong.
n.
The art of memory; a system of precepts and rules intended to assist the memory; artificial memory.
n.
The time within which past events can be or are remembered; as, within the memory of man.