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Introducing Memory and Association Mechanism into a Biologically Inspired Visual Model [article]

Qiao Hong, Li Yinlin, Tang Tang, Wang Peng
2013 arXiv   pre-print
The main motivations of the work are (a) to mimic the active memory and association mechanism and add the 'top down' adjustment to the above biologically inspired hierarchical model and (b) to build up  ...  In this paper, based on some other biological experimental results, we introduce the Memory and Association Mechanisms into the above biologically inspired model.  ...  Wei Wu and Dr. Tianshi Chen for their kindly help to improve this paper.  ... 
arXiv:1307.1388v1 fatcat:la447qhuh5ajzchbczlagmkfce

Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces [article]

Guido Schillaci, Antonio Pico Villalpando, Verena Vanessa Hafner, Peter Hanappe, David Colliaux, Timothée Wintz
2020 arXiv   pre-print
We propose the integration of an episodic memory in intrinsic motivation systems to face catastrophic forgetting issues, typically experienced when performing online updates of artificial neural networks  ...  A combination of deep neural networks for offline unsupervised learning of low-dimensional features from images, and of online learning of shallow neural networks representing the inverse and forward kinematics  ...  Acknowledgements This work has partially received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 773875 (EU-H2020 ROMI, Robotics for Microfarms  ... 
arXiv:2001.01982v1 fatcat:o6hyqlqfpjatpbm7yaqbavr6ne

Functional neuroimaging of memory: Implications for cognitive aging

Linda K. Langley, David J. Madden
2000 Microscopy research and technique (Print)  
Prefrontal activation exhibits an age-related increase when working memory tasks require simple storage and an age-related decrease when working memory requires higher-level executive processes.  ...  This article reviews age-related changes in memory performance obtained with behavioral measures, describes models of the neural mechanisms of memory, and derives predictions from these models regarding  ...  MODELS OF THE NEURAL INSTANTIATION OF MEMORY AND PREDICTIONS FOR AGE-RELATED MEMORY CHANGES The research reviewed in the previous section suggests that certain memory processes (e.g., episodic memory,  ... 
doi:10.1002/1097-0029(20001001)51:1<75::aid-jemt8>3.0.co;2-6 pmid:11002355 fatcat:cgzcmoc7nrd3zlwdowigaa7hda

Developing Deep Learning Models to Simulate Human Declarative Episodic Memory Storage

Abu Kamruzzaman, Charles C.
2019 International Journal of Advanced Computer Science and Applications  
A Recurrent Neural Network (RNN) in the form of Long Short Term Memory (LSTM) model was assembled in layers and then trained and evaluated.  ...  Human like visual and auditory sensory devices became very popular in recent years through the work of deep learning models that incorporate aspects of brain processing such as edge and line detectors  ...  Convolutional Neural Network Convolutional neural network known as CNN is very popular in deep neural networks aka deep learning for image processing and analysis.  ... 
doi:10.14569/ijacsa.2019.0100302 fatcat:atuzlwdcdvenflqx2hkhaj3jlm

Semantic Memory Association, Procedural Grammar Syntax and Episodic Modality Coordination as Three Interactive Neural Processes Organizing Language: A Model

Zi-Jian Cai
2015 OALib  
present declarative/procedural model underlying two kinds of neural processes to semantic/syntactic/episodic model of three kinds of neural processes for depiction and simulation of language.  ...  In these respects, semantic memory association, procedural grammar syntax and episodic modality coordination interact to organize language from word to sentence to story, so that it herein extends the  ...  It could be helpful to supplement some additional memory processes to the declarative/procedural model from working memory, but would be difficult to derive out a new neural model as well organized as  ... 
doi:10.4236/oalib.1101718 fatcat:ujq6zacehrdufmuyl6cwirhrd4

Overlap in the Functional Neural Systems Involved in Semantic and Episodic Memory Retrieval

M. N. Rajah, A. R. McIntosh
2005 Journal of Cognitive Neuroscience  
Overlap in the Functional Neural Systems Involved in Semantic and Episodic Memory Retrieval M. N. Rajah’ and A. R. McIntosh?  ...  Although most neuropsychological and neuroimaging studies on episodic and semantic memory have looked for differences in the neural mechanisms underlying these two memory processes, there is evidence support  ... 
doi:10.1162/0898929053279478 pmid:15814006 fatcat:d5x5lt2t7zay3b6m7kzruo6ptq

A steady state visually evoked potential investigation of memory and ageing

Helen Macpherson, Andrew Pipingas, Richard Silberstein
2009 Brain and Cognition  
Specifically, neuroimaging and electrophysiological studies have revealed that there are age-related changes in the neural correlates of episodic and working memory.  ...  reduction in neural processes.  ...  To date, the neural networks underpinning episodic and working memory have been specifically investigated using PET and fMRI neuroimaging techniques, as well as electrophysiological techniques such as  ... 
doi:10.1016/j.bandc.2008.12.003 pmid:19135766 fatcat:3t55zduk2ngcrpxszilbgypukq

A current model of neural circuitry active in forming mental images

Andrzej Brodziak
2013 Medical Science Monitor  
I argue that such a model should be based on the recent idea of "concept neurons" and circuits of 2 separate loops necessary for recalling mental images and consolidation of memory traces of long-term  ...  I attempt to present this compact, simple model of neural circuitry active in imagination by using some intuitive, demonstrative figures.  ...  The number of papers devoted to formation of mental images has grown in recent years, but most naturalists, physicians, and scientists lack a theoretical model of neural circuits active in process of forming  ... 
doi:10.12659/msm.889587 pmid:24335907 pmcid:PMC3867620 fatcat:ctai2rsrnfbtlorbo4myjn6meq

Dynamic Memory Networks for Visual and Textual Question Answering [article]

Caiming Xiong, Stephen Merity, Richard Socher
2016 arXiv   pre-print
Neural network architectures with memory and attention mechanisms exhibit certain reasoning capabilities required for question answering.  ...  Together with these changes we introduce a novel input module for images in order to be able to answer visual questions.  ...  Neural Memory Models The earliest recent work with a memory component that is applied to language processing is that of memory networks (Weston et al., 2015b) which adds a memory component for question  ... 
arXiv:1603.01417v1 fatcat:fkqrhovdh5auvl3juyqs24jw3e

Meta-Learning via Feature-Label Memory Network [article]

Dawit Mureja, Hyunsin Park, Chang D. Yoo
2017 arXiv   pre-print
In this regard, various researches on "meta-learning" are being actively conducted. Recent work has suggested a Memory Augmented Neural Network (MANN) for meta-learning.  ...  In models such as MANN, the input data samples and their appropriate labels from previous step are bound together in the same memory locations.  ...  In both types of experiments, the training process has stopped at the mark of the 100,000 episode.  ... 
arXiv:1710.07110v1 fatcat:6yyrad5tung57coyukar6ahriu

Storing Encoded Episodes as Concepts for Continual Learning [article]

Ali Ayub, Alan R. Wagner
2020 arXiv   pre-print
Reconstructed images from encoded episodes are replayed when training the classifier model on a new task to avoid catastrophic forgetting.  ...  When the system runs out of memory the encoded episodes are converted into centroids and covariance matrices, which are used to generate pseudo-images during classifier training, keeping classifier performance  ...  Acknowledgments This work was supported by Air Force Office of Scientific Research contract FA9550-17-1-0017.  ... 
arXiv:2007.06637v1 fatcat:2o256avtlfhwldlma4n23j4t7i

CA3 size predicts the precision of memory recall

M. J. Chadwick, H. M. Bonnici, E. A. Maguire
2014 Proceedings of the National Academy of Sciences of the United States of America  
Here we report novel evidence showing that variation in the size of human hippocampal subfield CA3 predicted the amount of neural interference between episodic memories within CA3, which in turn predicted  ...  We know little about how this is achieved in humans, but theoretical models propose that computations within hippocampal subfields facilitate the efficient storage and retrieval of similar memories (3-  ...  We thank Karl Friston for methodological advice and Demis Hassabis and Catherine Sebastian for useful discussions. E.A.M. is supported by the Wellcome Trust.  ... 
doi:10.1073/pnas.1319641111 pmid:25002463 pmcid:PMC4115494 fatcat:lpkpxstws5d4lbnm6727guga6m

Page 480 of Journal of Cognitive Neuroscience Vol. 17, Issue 3 [page]

2005 Journal of Cognitive Neuroscience  
Networks of domain-specific and general regions involved in episodic memory for spatial location and object identity {In Process Citation|. Newropsychologia, 36, 129-142. LaBar, K.  ...  Structural equation modeling and its application to network analysis in functional brain imaging. Human Brain Mapping, 2 » D> Volume 17, Number 3  ... 

Unity and diversity of tonic and phasic executive control components in episodic and working memory

P. Marklund, P. Fransson, R. Cabeza, A. Larsson, M. Ingvar, L. Nyberg
2007 NeuroImage  
The present study aimed to delineate the extent to which unitary executive functions might be shared across the separate domains of episodic and working memory.  ...  Taken together, these results converge with theoretical models advocating both unity and diversity among executive control processes.  ...  Acknowledgments This research was supported by a grant from NOS-HS to support a Nordic Centre of Excellence in Cognitive Control as well as a grant from the Swedish Research Council.  ... 
doi:10.1016/j.neuroimage.2007.03.058 pmid:17524668 fatcat:i4gn2p4qjfgqxgcwdhmlug7xbe

The role of the episodic buffer in working memory for language processing

Mary Rudner, Jerker Rönnberg
2007 Cognitive Processing  
general executive functions in working memory both functionally and neurally.  ...  The hippocampus seems to play a role in formation but not maintenance of representations in the episodic buffer of working memory.  ...  Imaging the episodic buffer for language processing The episodic buffer plays a key role in language processing in binding multimodal input information with long-term memory representations ).  ... 
doi:10.1007/s10339-007-0183-x pmid:17917753 fatcat:qrzgwjmctrftlnopsmdpcnflny
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