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Hippocampus

Michele Catasta, Alberto Tonon, Djellel Eddine Difallah, Gianluca Demartini, Karl Aberer, Philippe Cudre-Mauroux
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
In this paper, we propose a new approach to answer memory queries that we call Transactive Search: The userrequested memory is reconstructed from a group of people by exchanging pieces of personal memories  ...  Experimental results show that Transactive Search significantly outperforms the effectiveness of existing search approaches for memory queries.  ...  Acknowledgements We are grateful to all the participants of our experiment, who contributed fundamentally to the performance of our Transactive Search system.  ... 
doi:10.1145/2567948.2576946 dblp:conf/www/CatastaTDDAC14 fatcat:ttxevptvyzezbcfcpuxhnegipy

TransactiveDB

Michele Catasta, Alberto Tonon, Djellel Eddine Difallah, Gianluca Demartini, Karl Aberer, Philippe Cudre-Mauroux
2014 Proceedings of the VLDB Endowment  
In this paper, we outline a future avenue for DBMSs supporting transactive memory queries that can only be answered by a collection of individuals connected through a given interaction graph.  ...  We also describe how TransactiveDB leverages transactive operators-by mixing query execution, social network analysis and human computation-in order to effectively and efficiently tap into the memories  ...  In Hippocampus [1] , we presented a first example of transactive search, which was able to reconstruct a shared memory more effectively than either machine-based or crowdsourcing-based approaches.  ... 
doi:10.14778/2733085.2733102 fatcat:izzzfzrh6zgrfamduautdlkq2y

REMIND Your Neural Network to Prevent Catastrophic Forgetting [article]

Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan
2020 arXiv   pre-print
We demonstrate REMIND's generality by pioneering online learning for Visual Question Answering (VQA).  ...  While there is neuroscientific evidence that the brain replays compressed memories, existing methods for convolutional networks replay raw images.  ...  .: Billion-scale similarity search with gpus. IEEE Transactions on Big Data (2019) 33.  ... 
arXiv:1910.02509v3 fatcat:ue6klyjz4ngbtkpk45tpsfxdae

The Eyes Remember It: Oculography and Pupillometry during Recollection in Three Amnesic Patients

Bruno Laeng, Knut Waterloo, Stein Harald Johnsen, Søren Jacob Bakke, Torstein Låg, Synnøve Steiro Simonsen, Jørgen Høgsæt
2007 Journal of Cognitive Neuroscience  
P} ilosof hical Transactions of the Royal Series B, 356, 1493-1503 J. (2001).  ...  G. ial impairment after right temporal | using temporal titration. Brain, 78). The hippocampus asa Clarendon Press ving the ‘real’ mysteries of visual as an outside memory.  ... 
doi:10.1162/jocn.2007.19.11.1888 pmid:17958490 fatcat:n5eim2ewajdq7hqbxcqrrz2ewa

Reminisce: Blockchain Private Key Generation and Recovery Using Distinctive Pictures-Based Personal Memory

Jungwon Seo, Deokyoon Ko, Suntae Kim, Vijayan Sugumaran, Sooyong Park
2022 Mathematics  
Our approach is based on the idea that a user can hold long-term memory from distinctive pictures. The user can generate a private key by providing pictures and the location of the pictures.  ...  For recovering a private key, the user identifies the locations of the pictures that are used in the private key generation process.  ...  A private key is used to encrypt transactions with other users. The public key can be disclosed to others and is used to decrypt transactions that are encrypted by a private key.  ... 
doi:10.3390/math10122047 fatcat:2gm6qtk7l5av5bnapx6r2fakb4

The Arris and Gale Lectures ON SOME PROBLEMS RELATING TO THE EVOLUTION OF THE BRAIN

G.Elliot Smith
1910 The Lancet  
With reference to the first query, How much of the reptilian cortex is hippocampus?  ...  ) The attempts at answering these two t queries have yielded / many conflicting interpretations, which are a source of the J greatest confusion in the current literature of cerebral morphology.  ... 
doi:10.1016/s0140-6736(01)73606-9 fatcat:4pyszcbmxjdcdbygn22qeydcfm

Episodic memory and cortico–hippocampal interactions

Lokendra Shastri
2002 Trends in Cognitive Sciences  
the cortex and the hippocampus.  ...  It does not tell us what sort of neural circuits might be recruited in the HS to encode an event's memory trace, and what might be their functional properties.  ...  the cortex and the hippocampus.  ... 
doi:10.1016/s1364-6613(02)01868-5 pmid:11912039 fatcat:4gdkaxdrr5dlbanenkfigqtpnq

A Transposon in Comt Generates mRNA Variants and Causes Widespread Expression and Behavioral Differences among Mice

Zhengsheng Li, Megan K. Mulligan, Xusheng Wang, Michael F. Miles, Lu Lu, Robert W. Williams, Jörg Hoheisel
2010 PLoS ONE  
The short isoform is associated with increased protein expression in prefrontal cortex and hippocampus relative to the longer ancestral isoform.  ...  Conclusions/Significance: We have precisely defined the B2 SINE as the source of variation in Comt and demonstrated that a transposon in a 39 UTR can alter mRNA isoform use and modulate behavior.  ...  Probe sets mapping to Comt were identified using the advanced search option in GeneNetwork across several Affymetrix M430 and Exon brain databases (Text S1).  ... 
doi:10.1371/journal.pone.0012181 pmid:20808911 pmcid:PMC2923157 fatcat:ang7ulucsjh25iyjhfcpm2fege

Efficient Meta Lifelong-Learning with Limited Memory [article]

Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime Carbonell
2020 arXiv   pre-print
Extensive experiments on text classification and question answering benchmarks demonstrate the effectiveness of our framework by achieving state-of-the-art performance using merely 1% memory size and narrowing  ...  State-of-the-art lifelong language learning methods store past examples in episodic memory and replay them at both training and inference time.  ...  Billion-scale similarity search with gpus. IEEE Transactions on Big Data. Mandar Joshi, Eunsol Choi, Daniel Weld, and Luke Zettlemoyer. 2017.  ... 
arXiv:2010.02500v1 fatcat:qoukswlygbgmvp7slixztamxiq

Episodic memory retrieval is supported by rapid replay of episode content [article]

G Elliott Wimmer, Yunzhe Liu, Neža Vehar, Timothy EJ Behrens, Raymond J Dolan
2019 bioRxiv   pre-print
Retrieval of these experiences from memory is fundamental for informing our future decisions.  ...  This sequential replay was stronger in those participants with weaker overall memories.  ...  Norman, Category-specific cortical 485 activity precedes retrieval during memory search. Science 310, . J. Horner, J. A. Bisby, D. Bush, W. J. Lin, N.  ... 
doi:10.1101/758185 fatcat:fzrswi6sa5byhpyv5uyivcai4u

Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting

Wenwen Wang, B. Subagdja, Ah-Hwee Tan, J. A. Starzyk
2012 IEEE Transactions on Neural Networks and Learning Systems  
The model further incorporates a novel memory search procedure, which performs parallel search of stored episodic traces continuously.  ...  We present experimental studies, where the proposed episodic memory model is evaluated based on the memory consumption for encoding events and episodes as well as recall accuracy using partial and erroneous  ...  The model further incorporates a novel memory search procedure, which performs parallel search of stored episodic traces continuously in response to potentially imperfect search cues.  ... 
doi:10.1109/tnnls.2012.2208477 pmid:24808003 fatcat:xqeznpyb6nfuvb5tambqbdw6l4

Learning cognitive maps for vicarious evaluation [article]

Rajeev V. Rikhye, Nishad Gothoskar, J. Swaroop Guntupalli, Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George
2019 bioRxiv   pre-print
Cognitive maps enable us to learn the layout of environments, encode and retrieve episodic memories, and navigate vicariously for mental evaluation of options.  ...  We show that these graphs can be learned efficiently from experienced sequences using a cloned Hidden Markov Model (CHMM), and uncertainty-aware planning can be achieved using message-passing inference  ...  CSCGs also allow for efficient exact inference, which enables sophisticated queries to be answered quickly and exactly.  ... 
doi:10.1101/864421 fatcat:2zjjizteo5eztipay5kddmeqd4

Interoperability, XML Schema [chapter]

2017 Encyclopedia of GIS  
In Matouśek (1992) , an almost optimal main memory algorithm for simplex range searching is given using partition trees.  ...  This query is computed by iteratively performing range queries with an incrementally enlarged search region until k answers are obtained.  ...  Both the circular scan and the square scan are the most used regular scans. When searching for clusters with unlimited freedom of geometric shape, the power of detection is diminished.  ... 
doi:10.1007/978-3-319-17885-1_100625 fatcat:bgxdhdxa4bewzcggrogz56rdpi

Well-being and affective style: neural substrates and biobehavioural correlates

R. J. Davidson
2004 Philosophical Transactions of the Royal Society of London. Biological Sciences  
The search for these components is guided by the neural systems that instantiate emotion and emotion regulation.  ...  These examples illustrate the fact that when subjects are queried about global well-being, they frequently use convenient heuristics to answer such questions and typically do not engage in a systematic  ...  The hippocampus has been implicated in various aspects of memory (see Zola & Squire 2000) , particularly declarative memory of the sort we experience when we consciously recall an earlier occurring episode  ... 
doi:10.1098/rstb.2004.1510 pmid:15347531 pmcid:PMC1693421 fatcat:xiqew4ryobgk7mktsavuzdzydm

Dynamic causal modeling on the identification of interacting networks in the brain: a systematic review

Duojin Wang, Sailan Liang
2021 IEEE transactions on neural systems and rehabilitation engineering  
This review aims to analyze the effective connectivity of different brain regions using DCM for different measurement data.  ...  Dynamic causal modeling (DCM) has long been used to characterize effective connectivity within networks of distributed neuronal responses.  ...  In Section II, we describe the literature search methodology, which includes the search query, the exclusion criteria, and the taxonomy used to classify results by task types and effective connectivity  ... 
doi:10.1109/tnsre.2021.3123964 pmid:34714747 fatcat:eao2ei7h4rcdfiblkeo5ivzdg4
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