Search results for: SURFACE MEMORY - Bridge of Knowledge

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Search results for: SURFACE MEMORY

Search results for: SURFACE MEMORY

  • Surface finite viscoelasticity and surface anti-plane waves

    We introduce the surface viscoelasticity under finite deformations. The theory is straightforward generalization of the Gurtin–Murdoch model to materials with fading memory. Surface viscoelasticity may reflect some surface related creep/stress relaxation phenomena observed at small scales. Discussed model could also describe thin inelastic coatings or thin interfacial layers. The constitutive equations for surface stresses are...

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  • Shape-Memory Polyurethane Polymers

    Publication

    - ACS SYMPOSIUM SERIES - Year 2021

    Polyurethanes (PUs) are one of the most widely used polymers in research and industry. They can be synthesized from chemical sources and natural sources. PUs are a very useful class of polymers and exhibit many desirable properties that can be exploited in various applications. PUs are formed by the reaction between polyols and isocyanates. A wide variety of polyols and isocyanates are available for synthesis, and hence we can...

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  • Semantic Memory for Avatars in Cyberspace

    Publication

    - Year 2005

    Avatars that show intelligent behavior should have an access to general knowledge about the world, knowledge that humans store in their semantic memories. The simplest knowledge representation for semantic memory is based on the Concept Description Vectors (CDVs) that store, for each concept, an information whether a given property can be applied to this concept or not. Unfortunately large-scale semantic memories are not available....

  • Memory and Imagination: Artwork as a Form of Testimony

    Publication

    - Year 2016

    As the generation of witnesses is passing away and the testimonies of Shoah survivors are replaced by an inherited, culturally constructed memory - post-memory – art becomes a meaningful landmark in the landscape of memory. Although the narration of history - being the researchers’ discourse rather than an objective view - has been considered to a certain extent fictitious, the difference between real and fictional, between remembering...

  • Shape Memory Materials from Rubbers

    Publication
    • A. Reghunadhan
    • P. Jibin
    • V. Kaliyathan
    • P. Velayudhan
    • M. Strankowski
    • S. Thomas

    - Materials - Year 2021

    Smart materials are much discussed in the current research scenario. The shape memory effect is one of the most fascinating occurrences in smart materials, both in terms of the phenomenon and its applications. Many metal alloys and polymers exhibit the shape memory effect (SME). Shape memory properties of elastomers, such as rubbers, polyurethanes, and other elastomers, are discussed in depth in this paper. The theory, factors...

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  • Optimizing the computation of a parallel 3D finite difference algorithm for graphics processing units

    Publication
    • J. Porter-Sobieraj
    • S. Cygert
    • K. Daniel
    • J. Sikorski
    • M. Słodkowski

    - CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE - Year 2015

    This paper explores the possibilities of using a graphics processing unit for complex 3D finite difference computation via MUSTA‐FORCE and WENO algorithms. We propose a novel algorithm based on the new properties of CUDA surface memory optimized for 2D spatial locality and compare it with 3D stencil computations carried out via shared memory, which is currently considered to be the best approach. A case study was performed for...

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  • Information retrieval with semantic memory model

    Publication

    Psycholinguistic theories of semantic memory form the basis of understanding of natural language concepts. These theories are used here as an inspiration for implementing a computational model of semantic memory in the form of semantic network. Combining this network with a vector-based object-relation-feature value representation of concepts that includes also weights for confidence and support, allows for recognition of concepts...

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  • Contemporary Spaces of Memory - Towards Transdisciplinarity in Architecture

    The paper explores new phenomena in the contemporary practice of commemoration implemented through architecture. Architectural objects related to memory can be a place where new trends and phenomena appear earlier than in other architectural objects. The text is an attempt to prove that these new spaces of memory are a kind of laboratory where new ideas taking place in architecture and related disciplines are being tested. Research...

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  • Emissivity Measurements on Shape Memory Alloys

    Publication

    - Year 2016

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  • On the concept of estimation memory in adaptive filtering.

    Artykuł przedstawia i omawia pojęcie pamięci estymacji, pozwalające na obiektywne porównanie właściwości śledzących różnych algorytmów adaptacyjnych filtracji.

  • Pathological brain network activity: memory impairment in epilepsy

    Publication

    - NEUROLOGY - Year 2013

    Our thinking, memory and cognition in general, relies upon precisely timed interactions among neurons forming brain networks that support cognitive processes. The surgical evaluation of drug-resistant epilepsy using intracranial electrodes provides a unique opportunity to record directly from human brain and to investigate the coordinated activity of cognitive networks. In this issue of Neurology®, Kleen and colleagues1 implicate...

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  • Intelligent microbearing project with memory of stress-strain history

    Taking into account the increasing need of intelligent micro-bearing with memory, this paper presents the optimization, simulation and practical application of operating parameters(load carrying capacity, friction forces, friction coefficient, wear), simulation for hydrodynamic HDD micro-bearing with curvilinear nano-grooved journal profile. One of the reason of such journal profile is that this journal profile contributes to the...

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  • Proximal primal–dual best approximation algorithm with memory

    Publication

    - COMPUTATIONAL OPTIMIZATION AND APPLICATIONS - Year 2018

    We propose a new modified primal–dual proximal best approximation method for solving convex not necessarily differentiable optimization problems. The novelty of the method relies on introducing memory by taking into account iterates computed in previous steps in the formulas defining current iterate. To this end we consider projections onto intersections of halfspaces generated on the basis of the current as well as the previous...

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  • Application of Shape Memory Alloys in Pipeline Couplings for Shipbuilding

    Publication

    The aim of the study is to analyse shape memory alloy (SMA) pipeline joints in limited space applications for all kinds of ships. Generally, the space available in various areas on ships is strictly limited and service works usually meet many obstacles. If we consider a pipeline, the flange joints always require a larger free space around the pipe than the pipe alone. A simultaneous problem can occur with the propeller shaft line...

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  • Semantic memory architecture for knowledge acquisition and management

    Publication

    - Year 2007

    Rozumienie informacji zawartej w tekście przez komputer wymaga wiedzy stojacej za systemem informatycznym. Wiedza ta nie jest implicite zapisanej w analizowanym tekscie. Zapisana może być ona w postaci ontologii badanej dziedziny. Zasadniczym zagadnieniem jest konstrukcja takiej ontologii. Artykuł przedstawia podeście oparte na grze 20 pytań do budowy przestrzeni semantycznej dla wybranej dziedziny.

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  • Gdańsk palimpsest. On obscuring and retrieving traces of memory

    Publication

    The article deals with the problems of collective identity resulting from over one thousand year history of the city on the Motława river and the role of historical policy of the local authorities regarding the material cultural heritage of many nations and cultures. In our opinion, the palimpsestic (palimpsestueuse) character of the city plays a significant role in the discourse about the past of Gdańsk. We use that notion after...

  • Human memory enhancement through electrical stimulation in the temporal cortex

    Publication
    • M. T. Kucewicz
    • B. M. Berry
    • L. R. Miller
    • F. Khadjevand
    • Y. Ezzyat
    • J. M. Stein
    • V. Kremen
    • B. H. Brinkmann
    • P. Wanda
    • M. R. Sperling... and 10 others

    - Brain: A Journal of Neurology - Year 2018

    Direct electrical stimulation of the human brain can elicit sensory and motor perceptions as well as recall of memories. Stimulating higher order association areas of the lateral temporal cortex in particular was reported to activate visual and auditory memory representations of past experiences (Penfield and Perot, 1963). We hypothesized that this effect could be used to modulate memory processing. Recent attempts at memory enhancement...

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  • Pupil size reflects successful encoding and recall of memory in humans

    Publication
    • M. T. Kucewicz
    • J. Dolezal
    • V. Kremen
    • B. M. Berry
    • L. R. Miller
    • A. L. Magee
    • V. Fabian
    • G. A. Worrell

    - Scientific Reports - Year 2018

    Pupil responses are known to indicate brain processes involved in perception, attention and decision-making. They can provide an accessible biomarker of human memory performance and cognitive states in general. Here we investigated changes in the pupil size during encoding and recall of word lists. Consistent patterns in the pupil response were found across and within distinct phases of the free recall task. The pupil was most...

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  • Electromagnetic Simulations with 3D FEM and Intel Optane Persistent Memory

    Publication

    - Year 2022

    Abstract—Intel Optane persistent memory has the potential to induce a change in how high-performance calculations requiring a large system memory capacity are conducted. This article presents what this change may look like in the case of factorization of large sparse matrices describing electromagnetic problems arising in the 3D FEM analysis of passive highfrequency components. In numerical tests, the Intel oneAPI MKL PARDISO was...

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  • A memory efficient and fast sparse matrix vector product on a Gpu

    This paper proposes a new sparse matrix storage format which allows an efficient implementation of a sparse matrix vector product on a Fermi Graphics Processing Unit (GPU). Unlike previous formats it has both low memory footprint and good throughput. The new format, which we call Sliced ELLR-T has been designed specifically for accelerating the iterative solution of a large sparse and complex-valued system of linear equations arising...

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  • Dissecting gamma frequency activities during human memory processing

    Publication
    • M. T. Kucewicz
    • B. M. Berry
    • V. Kremen
    • B. H. Brinkmann
    • M. R. Sperling
    • B. C. Jobst
    • R. E. Gross
    • B. Lega
    • S. A. Sheth
    • J. M. Stein... and 6 others

    - Brain: A Journal of Neurology - Year 2017

    Gamma frequency activity (30-150 Hz) is induced in cognitive tasks and is thought to reflect underlying neural processes. Gamma frequency activity can be recorded directly from the human brain using intracranial electrodes implanted in patients undergoing treatment for drug-resistant epilepsy. Previous studies have independently explored narrowband oscillations in the local field potential and broadband power increases. It is not...

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  • EXPERIMENTAL EVALUATION OF THE EMISSIVITY OF A NITI SHAPE MEMORY ALLOY

    Publication

    - Year 2015

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  • Underwater robot actuated by shape memory alloy wires

    Publication

    - Year 2006

    W pracy przedstawiono koncepcję projektu robota podwodnego z napędem wykorzystującym materiały SMA ze stopów z pamięcią kształtu. Rozpatrywany układ ma budowę modułową złożoną z segmentów na podobieństwo do anatomicznej budowy dżdżownicy. Pojedyńczy segment składa się z dwóch okrągłych tarcz, pomiędzy którymi umieszczono balon wypełniony wodą. Wielkość balonu jest dopasowana w taki sposób do rozmiarów tarcz oraz długości sprężyn...

  • Semantic memory knowledge acquisition through active dialogues

    Publication

    - Year 2007

    Szereg zagadnień językowych nie może zostać rozwiązany bez pamięci semantycznej zawierającej opisy cech obiektów, Automatyczne tworzenie tego rodzaju pamięci jest wielkim wyzwaniem nawet dla prostych obszarów dziedzinowych. Implementacja pamięci semantycznej opartej na reprezentacji wiedzy poprzez powiązania obiektu z jego cechami pokazuje ciekawe zastosowania które nie zostały dotychczas zademonstrowane poprzez bardziej wyszukane...

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  • Knowledge representation and acquisition for large-scale semantic memory

    Publication

    - Year 2008

    Pozyskiwanie i reprezentacja pojęć jest koniecznym warunkiem doimplementacji rozumienia w systemach kognitywnych.Gry słowne są dają interesujące możliwości pozyskiwaniawiedzy do komputerowego modelu pamięci semantycznej. W artykuleprzedstawiono podstawy architektury pamięci semantycznej orazwyniki działającego na niej algorytmu wyszukiwania kontekstowego,który użyty został do realizacji gry w 20 pytań.

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  • Hotspot of human verbal memory encoding in the left anterior prefrontal cortex

    Publication

    - EBioMedicine - Year 2022

    Background: Treating memory and cognitive deficits requires knowledge about anatomical sites and neural activities to be targeted with particular therapies. Emerging technologies for local brain stimulation offer attractive therapeutic options but need to be applied to target specific neural activities, at distinct times, and in specific brain regions that are critical for memory formation. Methods: The areas that are critical...

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  • Electrical Stimulation Modulates High Gamma Activity and Human Memory Performance

    Publication

    - eNeuro - Year 2018

    Direct electrical stimulation of the brain has emerged as a powerful treatment for multiple neurological diseases, and as a potential technique to enhance human cognition. Despite its application in a range of brain disorders, it remains unclear how stimulation of discrete brain areas affects memory performance and the underlying electrophysiological activities. Here, we investigated the effect of direct electrical stimulation...

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  • Deterministic rendezvous of asynchronous bounded-memory agents in polygonal terrains

    Publication

    - LECTURE NOTES IN COMPUTER SCIENCE - Year 2010

    Two mobile agents, modeled as points starting at differentlocations of an unknown terrain, have to meet. The terrain is a polygon with polygonal holes. We consider two versions of this rendezvous problem: exact RV, when the points representing the agents have to coincide at some time, and epsilon-RV, when these points have to get at distance less than epsilon in the terrain. In any terrain, each agent chooses its trajectory, but...

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  • Human verbal memory encoding is hierarchically distributed in a continuous processing stream

    Publication
    • M. T. Kucewicz
    • K. Saboo
    • B. M. Berry
    • V. Kremen
    • L. R. Miller
    • F. Khadjevand
    • C. S. Inman
    • P. A. Wanda
    • M. R. Sperling
    • R. Gorniak... and 8 others

    - eNeuro - Year 2019

    Processing of memory is supported by coordinated activity in a network of sensory, association, and motor brain regions. It remains a major challenge to determine where memory is encoded for later retrieval. Here we used direct intracranial brain recordings from epilepsy patients performing free recall tasks to determine the temporal pattern and anatomical distribution of verbal memory encoding across the entire human cortex. High...

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  • Direct brain stimulation modulates encoding states and memory performance in humans

    Publication
    • Y. Ezzyat
    • J. E. Kragel
    • J. F. Burke
    • D. F. Levy
    • A. Lyalenko
    • P. Wanda
    • L. O'Sullivan
    • K. B. Hurley
    • S. Busygin
    • I. Pedisich... and 16 others

    - CURRENT BIOLOGY - Year 2017

    People often forget information because they fail to effectively encode it. Here, we test the hypothesis that targeted electrical stimulation can modulate neural encoding states and subsequent memory outcomes. Using recordings from neurosurgical epilepsy patients with intracranially implanted electrodes, we trained multivariate classifiers to discriminate spectral activity during learning that predicted remembering from forgetting,...

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  • High frequency oscillations in human memory and cognition: a neurophysiological substrate of engrams?

    Publication

    - Brain: A Journal of Neurology - Year 2024

    Despite advances in understanding the cellular and molecular processes underlying memory and cognition, and recent successful modulation of cognitive performance in brain disorders, the neurophysiological mechanisms remain underexplored. High frequency oscillations beyond the classic electroencephalogram spectrum have emerged as a potential neural correlate of fundamental cognitive processes. High frequency oscillations are detected...

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  • High frequency oscillations are associated with cognitive processing in human recognition memory

    Publication
    • M. T. Kucewicz
    • J. Cymbalnik
    • J. Matsumoto
    • B. H. Brinkmann
    • M. R. Bower
    • V. Vasoli
    • V. Sulc
    • F. Meyer
    • W. Marsh
    • S. M. Stead
    • G. A. Worrell

    - Brain: A Journal of Neurology - Year 2014

    High frequency oscillations are associated with normal brain function, but also increasingly recognized as potential biomarkers of the epileptogenic brain. Their role in human cognition has been predominantly studied in classical gamma frequencies (30-100 Hz), which reflect neuronal network coordination involved in attention, learning and memory. Invasive brain recordings in animals and humans demonstrate that physiological oscillations...

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  • Cognitive neuroscience: Theta network oscillations coordinate development of episodic memory

    Publication

    Our ability to remember life events matures through childhood and adolescence. A new study has revealed how theta oscillations between two anatomical brain regions supporting memory and executive functions are synchronized and develop across age through functional and structural connectivity.

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  • Cognitive memory for intelligent systems of decision-making, based on human psychology

    A model of memory, which allows to expand the functionality of autonomous decision-making systems for robotic and human-system-interface purposes, is discussed. The model provides functions and features which make the prospective robotic and interfacing systems more human-like as well as more efficient in solving interactive issues.

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  • Cognitive memory for intelligent systems of decision-making, based on human psychology

    Publication

    A model of memory, which allows to expand the functionality of autonomous decision-making systems for robotic and human-system-interface purposes, is discussed. The model provides functions and features which make the prospective robotic and interfacing systems more human-like as well as more efficient in solving interactive issues.

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  • Interrelated shape memory and Payne effect in polyurethane/graphene oxide nanocomposites

    Publication
    • D. Ponnamma
    • K. K. Sadasivuni
    • M. Strankowski
    • P. Moldenaers
    • S. Thomas
    • Y. Grohens

    - RSC Advances - Year 2013

    We report the fabrication of graphene oxide (GO) based polyurethane (PU) nanocomposites by a simple method of mixing and their shape memory properties at different temperatures. Both the polymer and the filler were synthesized in the laboratory by simple and easy methods – PU by pre-polymer method and GO by improved graphene oxide synthesis method. High molecular level dispersion of GO platelets within the PU matrix and thus good...

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  • Learning and memory processes in autonomous agents using an intelligent system of decision-making

    Publication

    This paper analyzes functions and structures of the memory that is an indispensable part of an Intelligent System of Decision-making (ISD), developed as a universal engine for autonomous robotics. A simplified way of processing and coding information in human cognitive processes is modelled and adopted for the use in autonomous systems. Based on such a knowledge structure, an artificial model of reality representation and a model...

  • Learning and memory processes in autonomous agents using an intelligent system of decision-making

    Publication

    This paper analyzes functions and structures of the memory that is an indispensable part of an Intelligent System of Decision-making (ISD), developed as a universal engine for autonomous robotics. A simplified way of processing and coding information in human cognitive processes is modelled and adopted for the use in autonomous systems. Based on such a knowledge structure, an artificial model of reality representation and a model...

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  • Direct electrical brain stimulation of human memory: lessons learnt and future perspectives

    Publication

    Modulation of cognitive functions supporting human declarative memory is one of the grand challenges of neuroscience, and of vast importance for a variety of neuropsychiatric, neurodegenerative and neurodevelopmental diseases. Despite a recent surge of successful attempts at improving performance in a range of memory tasks, the optimal approaches and parameters for memory enhancement have yet to be determined. On a more fundamental...

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  • Closed-loop stimulation of temporal cortex rescues functional networks and improves memory

    Publication
    • Y. Ezzyat
    • P. A. Wanda
    • D. F. Levy
    • A. Kadel
    • A. Aka
    • I. Pedisich
    • M. R. Sperling
    • A. Sharan
    • B. C. Lega
    • A. Burks... and 12 others

    - Nature Communications - Year 2018

    Memory failures are frustrating and often the result of ineffective encoding. One approach to improving memory outcomes is through direct modulation of brain activity with electrical stimulation. Previous efforts, however, have reported inconsistent effects when using open-loop stimulation and often target the hippocampus and medial temporal lobes. Here we use a closed-loop system to monitor and decode neural activity from direct...

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  • Shape Memory Polyurethane Materials Containing Ferromagnetic Iron Oxide and Graphene Nanoplatelets

    Publication

    Intelligent materials, such as memory shape polymers, have attracted considerable attention due to wide range of possible applications. Currently, intensive research is underway, in matters of obtaining memory shape materials that can be actuated via inductive methods, for example with help of magnetic field. In this work, an attempt was made to develop a new polymer composite—polyurethane modified with graphene nanoplates and...

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  • Drought stress memory and subsequent drought stress tolerance in plants

    Publication
    • Ł. Wojtyla
    • E. Paluch-Lubawa
    • E. Sobieszczuk-Nowicka
    • M. Garnczarska

    - Year 2020

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  • LANGUAGE AS A MODERATOR OF MEMORY-RELATED PROCESSES IN CHILDREN WITH DEVELOPMENTAL DYSLEXIA

    Publication

    - Acta Neuropsychologica - Year 2012

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  • Deterministic rendezvous of asynchronous bounded-memory agents in polygonal terrains

    Publication

    - THEORY OF COMPUTING SYSTEMS - Year 2013

    We consider two versions of the rendezvous problem: exact RV, when the points representing agents have to coincide at some time, and e-RV, when these points have to get at distance less than e in the terrain. In any terrain, each agent chooses its trajectory, but the movements of the agent on this trajectory are controlled by an adversary that may, e.g. speed up or slow down the agent.

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  • Reduced order models in computational electromagnetics (in memory of Ruediger Vahldieck)

    This paper reviews research of Ruediger Vahldieck's group and the group at the Gdansk University of Technology in the area of model order reduction techniques for accelerating full-wave simulations. The applications of reduced order models to filter design as well as of local and nested(multilevel) macromodels for solving 3D wave equations and wave-guiding problems using finite difference and finite element methods are discussed.

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  • Performance evaluation of unified memory and dynamic parallelism for selected parallel CUDA applications

    The aim of this paper is to evaluate performance of new CUDA mechanisms—unified memory and dynamic parallelism for real parallel applications compared to standard CUDA API versions. In order to gain insight into performance of these mechanisms, we decided to implement three applications with control and data flow typical of SPMD, geometric SPMD and divide-and-conquer schemes, which were then used for tests and experiments. Specifically,...

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  • Distinct hippocampal-prefrontal neural assemblies coordinate memory encoding, maintenance, and recall

    Publication
    • A. Domanski
    • M. T. Kucewicz
    • E. Russo
    • M. D. Tricklebank
    • J. E. Robinson
    • D. Durstewitz
    • M. W. Jones

    - CURRENT BIOLOGY - Year 2023

    Short-term memory enables incorporation of recent experience into subsequent decision-making. This processing recruits both the prefrontal cortex and hippocampus, where neurons encode task cues, rules, and outcomes. However, precisely which information is carried when, and by which neurons, remains unclear. Using population decoding of activity in rat medial prefrontal cortex (mPFC) and dorsal hippocampal CA1, we confirm that mPFC...

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  • Network oscillations modulate interictal epileptiform spike rate during human memory

    Publication
    • J. Matsumoto
    • M. Stead
    • M. T. Kucewicz
    • A. Matsumoto
    • P. Peters
    • B. Brinkmann
    • J. C. Danstrom
    • S. Goerss
    • W. Marsh
    • F. Meyer
    • G. Worrell

    - Brain: A Journal of Neurology - Year 2013

    Eleven patients being evaluated with intracranial electroencephalography for medically resistant temporal lobe epilepsy participated in a visual recognition memory task. Interictal epileptiform spikes were manually marked and their rate of occurrence compared between baseline and three 2 s periods spanning a 6 s viewing period. During successful, but not unsuccessful, encoding of the images there was a significant reduction in...

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  • Using GPUs for Parallel Stencil Computations in Relativistic Hydrodynamic Simulation

    Publication
    • S. Cygert
    • D. Kikoła
    • J. Porter-Sobieraj
    • J. Sikorski
    • M. Słodkowski

    - Year 2014

    This paper explores the possibilities of using a GPU for complex 3D finite difference computation. We propose a new approach to this topic using surface memory and compare it with 3D stencil computations carried out via shared memory, which is currently considered to be the best approach. The case study was performed for the extensive computation of collisions between heavy nuclei in terms of relativistic hydrodynamics.

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  • Intracranial electrophysiological recordings from the human brain during memory tasks with pupillometry

    Publication

    - Scientific Data - Year 2022

    Data comprise intracranial EEG (iEEG) brain activity represented by stereo EEG (sEEG) signals, recorded from over 100 electrode channels implanted in any one patient across various brain regions. The iEEG signals were recorded in epilepsy patients (N=10) undergoing invasive monitoring and localization of seizures when they were performing a battery of four memory tasks lasting approx. 1 hour in total. Gaze tracking on the task...

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