Search results for "Memory"

Restauro e ricomposizione spaziale della Chiesa di San Biagio, Cammarata

2020

Fare architettura presuppone la ricerca di un racconto nuovo nella continuità della storia, praticare la memoria più intima delle cose, ristabilire relazioni con lo spazio del presente. Così il restauro di un edificio elabora il dialogo tra tempo e spazio nella stratificazione della costruzione, svelandone i significati irriducibili e permanenti. Il progetto legge e interpreta, ricerca tracce, si fa spazio tra le cose. Mostra l’azione distruttiva dell’uomo e del tempo, le drammatiche deformazioni. Sfrutta l’interstizio per insinuarvi un discorso nuovo con il presente. Making architecture presupposes the search for a new story in the continuity of history, practicing the most intimate memory…

Autobiogrāfiskie aspekti Gintera Grasa prozā

2016

Bakalaura darbā “Autobiogrāfiskie aspekti Gintera Grasa prozā” tiek pētīta Gintera Grasa biogrāfijas ietekme uz viņa literāro daiļradi. Darba mērķis ir noteikt, kādus autobiogrāfiskos aspektus Ginters Grass izmantojis autobiogrāfijā “Lobotsīpolu”, kā arī romānā “Skārda bungas” un novelē “Kaķis un pele”. Izpētes procesā tiek analizētas atmiņas metaforas un svarīgākās tēmas Gintera Grasa autobiogrāfijā “Lobot sīpolu”, kā arī tā tiek salīdzināta ar romānu “Skārdabungas” un noveli “Kaķis un pele”. Bakalaura darba pētījuma rezultāti ļauj autorei secināt, ka augstākminētajos prozas darbos gan centrālajiem tēliem, gan centrālajām tēmām ir autobiogrāfisks fons, savukārt apstāklis, kurš visvairāk ie…

Memory degradation induced by attention in recurrent neural architectures

2022

This paper studies the memory mechanisms in recurrent neural architectures when attention models are included. Pure-attention models like Transformers are more and more popular as they tend to outperform models with recurrent connections in many different tasks. Our conjecture is that attention prevents the recurrent connections from transferring information properly between consecutive next steps. This conjecture is empirically tested using five different models, namely, a model without attention, a standard Loung attention model, a standard Bahdanau attention model, and our proposal to add attention to the inputs in order to fill the gap between recurrent and parallel architectures (for b…

Attenzione e prestazione

2012

L'attenzione è uno dei processi cognitivi più complessi. È un presupposto di tutte le altre attività psichiche – memoria, percezione, apprendimento, problem solving. L'attenzione si riferisce alla selettività del processo di elaborazione. Il fatto di stare attenti implica infatti, la necessità di selezionare soltanto una porzione degli innumerevoli stimoli che possiamo percepire coi nostri sensi, guardando, toccando, ascoltando, annusando o assaggiando. L’attenzione implica il distogliere il pensiero da alcune cose per dedicarsi selettivamente ad altre. Dunque, c’è una quantità finita di cose a cui possiamo prestare attenzione nello stesso momento. Ciò accade perché il nostro cervello possi…

Preattentive detection of rare audiovisual feature conjunctions by the human brain as reflected by the mismatch negativity

2007

50 aniversario de la Escuela Diocesana de Asistentes Sociales de Valencia

2012

El artículo resume los recuerdos y vivencias de este grupo de profesionales en el 50 aniversario del inicio de la Escuela, que se celebró en el Col-legi Oficial de Diplomats en Treball Social i Assistents Socials de Valencia. The article sums up the memories and experiences of this group of professionals at the 50th Anniversary of the school's founding, which was held at the Col-legi Oficial de Diplomats en Treball Social i Assistents Socials de Valencia.

L'aura de la memòria. La imatge de Jaume I en la València baixmedieval (ca. 1338 - ca. 1538)

2022

La tesis doctoral indaga en el período inicial de gestación del recuerdo de Jaime I en la ciudad de Valencia, entre el primer y el tercer centenario de la fiesta de la conquista, en el marco de la cultura visual; es decir, del conjunto de manifestaciones figurativas y arquitectónicas, así como de actos performativos y objetos comunes que no se adaptan a la idea tradicional del arte. Establece un diálogo con los argumentos que ya han esgrimido historiadores y filólogos para definir cuál era el papel de las imágenes en la historia de la memoria del rey. Publica nueva documentación de archivo, relee las noticias ya exhumadas y, en definitiva, presenta la revisión de un tema –reconsidera la ima…

Rapid learning of a spatial memory task in a lacertid lizard (Podarcis liolepis).

2018

Abstract Mammals and birds are capable of navigating to a goal using learned map-like representations of space (i.e. place learning), but research assessing this navigational strategy in reptiles has produced inconclusive results, in part due to the use of procedures that do not take account of the peculiarities of reptilian behavior and physiology. Here I present a procedure suitable for testing spatial cognition that exploits a naturally evolved, ethologically relevant ability common to many lizards (i.e. refuge seeking behavior). The procedure requires lizards to learn the location of an open refuge inside a rectangular arena containing artificial refuges in every corner, using distal ex…

Visualization of Memory Map Information in Embedded System Design

2018

Data compression is a common requirement for displaying large amounts of information. The goal is to reduce visual clutter. The approach given in this paper uses an analysis of a data set to construct a visual representation. The visualization is compressed using the address ranges of the memory structure. This method produces a compressed version of the initial visualization, retaining the same information as the original. The presented method has been implemented as a Memory Designer tool for ASIC, FPGA and embedded systems using IP-XACT. The Memory Designer is a user-friendly tool for model based embedded system design, providing access and adjustment of the memory layout from a single v…

Convolutional Long Short-Term Memory Network for Multitemporal Cloud Detection Over Landmarks

2019

In this work, we propose to exploit both the temporal and spatial correlations in Earth observation satellite images through deep learning methods. In particular, the combination of a U-Net convolutional neural network together with a convolutional long short-term memory (LSTM) layer is proposed. This model is applied for cloud detection on MSG/SEVIRI image time series over selected landmarks. Implementation details are provided and our proposal is compared against a standard SVM and a U-Net without the convolutional LSTM layer but including temporal information too. Experimental results show that this combination of networks exploits both the spatial and temporal dependence and provides st…