14 papers · ranked by Valyu relevance
Zakir Hussain Shaik, Emil Björnson, Erik G. Larsson
—Cell-free Massive MIMO (mMIMO) is envisaged to be a next-generation technology beyond 5G with its high spectral efficiency and superior spatial diversity as compared to that of conventional MIMO technology. The main principle is that many distributed access points (APs) cooperate to simultaneously serve all the users…
Philine Schiewe, Anita Schöbel
Planning in public transportation is traditionally done in a sequential process: After the network design process, the lines and their frequencies are planned. When these are fixed, a timetable is determined and based on the timetable, the vehicle and crew schedules are optimized. After each step, passenger routes are…
Si Cheng, Siyi Chen, Zhuanghua Shi
Our current perception and decision-making are shaped by recent experiences, a phenomenon known as serial dependence. While serial dependence is well-documented in visual perception and has been recently explored in time perception, their functional similarities across non-temporal and temporal domains remain elusive…
Kevin Zhang, Neha Patki, Kalyan Veeramachaneni
The goal of this paper is to describe a system for generating synthetic sequential data within the Synthetic data vault. To achieve this, we present the Sequential model currently in SDV, an end-to-end framework that builds a generative model for multi-sequence, real-world data. This includes a novel neural…
Andrew D Levy, Peter Zeidman, Karl Friston
Sequential experimental paradigms are fundamental to cognitive neuroscience, yet standard event-related response analysis struggles with the temporal variability inherent to these designs. Conventional epoching treats each event within a sequence as an independent response, discarding the temporal dependencies between…
Michele Fornaciai, Irene Togoli, Samuel Binisti, Olivier Collignon
Our perception often shows systematic biases revealing how the brain’s internal representation diverges from the physical world. In particular, what happened in the recent past can systematically attract current percepts, making them appear more similar to previous stimuli. Does this phenomenon reflect a low-level…
Leonardo Bonetti, Gemma Fernández-Rubio, Mattia Rosso, Francesco Carlomagno + 4 more
Predictive coding posits that the brain continuously generates and updates internal models to anticipate incoming sensory input. While auditory and visual modalities have been studied independently in this context, direct comparisons using matched paradigms are scarce. Here, we employed magnetoencephalography (MEG) to…
Ziyuan Li, Jiafeng Zhang, Tengfei Liang, Chaoxiong Ye + 1 more
The visual information can be stored as either “active” representations in the active state or “activity-silent” representations in the passive state during the retention period in visual working memory (VWM). Catering to the dynamic nature of visual world, we explored how the temporally dynamic visual input was stored…
Anne-Lise Jouen, Nicolas Cazin, Sullivan Hidot, Carol Madden-Lombardi + 2 more
Understanding the neural process underlying the comprehension of visual images and sentences remains a major open challenge in cognitive neuroscience. We previously demonstrated with fMRI and DTI that comprehension of visual images and sentences describing human activities recruits a common semantic system. The current…
Xiongbo Wu, Lluís Fuentemilla
In episodic encoding, an unfolding experience is rapidly transformed into a memory representation that binds separate episodic elements into a memory form to be later recollected. However, it is unclear how brain activity changes over time to accommodate the encoding of incoming information. This study aimed to…
Ru Zhang, Yanjun Liu, James T. Townsend
The question whether people can mentally process multiple pieces of information in parallel or in series has intrigued psychologists since the 19th century. Parallel and serial systems and models are very important special cases of the issue of mental architectures. We pause to observe that the "architecture" part is…
Yuwei Cui, Subutai Ahmad, Jeff Hawkins
The ability to recognize and predict temporal sequences of sensory inputs is vital for survival in natural environments. Based on many known properties of cortical neurons, hierarchical temporal memory (HTM) sequence memory is recently proposed as a theoretical framework for sequence learning in the cortex. In this…
Tairan Xu, Leyang Xue, Zhan Lu, Jinfu Deng + 6 more
Batch inference has become a central mode of AI computation, yet existing inference engines still rely on execution models designed for interactive serving. When scaled to millions of sequences, batch workloads reveal two fundamental requirements: the ability to handle extreme inter- and intra-sequence load variation…
Isuru Nawinne, Mahanama Wickramasinghe, Roshan Ragel, Swarnalatha Radhakrishnan
'Swarnalatha Radhakrishnan'] Abstract-Processing data received as a stream is a task commonly performed by modern embedded devices, in a wide range of applications such as multimedia (encoding/decoding/ playing media), networking (switching and routing), digital security, scientific data processing, etc. Such…