27 papers · ranked by Valyu relevance
Tomoya Nakai, Tatsuya Daikoku, Yohei Oseki
Humans use various sequential signals, such as language, music, and mathematics, to convey complex information and facilitate communication. Previous research has identified two fundamental frameworks underlying human sequential signal processing: a structural framework, emphasizing rule-based hierarchical organization…
Joonwoo Kim, Solbin Lee, Kichun Nam
A central question in visual word recognition concerns whether orthographic and phonological codes are coordinated sequentially or in parallel during lexical access. Korean Hangul, an alpha-syllabic writing system with morphophonemic spelling principles, allows independent manipulation of orthographic and phonological…
Francesco Donnarumma, Thomas Parr, Karl Friston, James Whittington + 1 more
How the brain plans and maintains sequences of future actions remains a central question in systems neuroscience. Recent studies in the frontal cortex have revealed that multiple elements of a sequence are represented simultaneously in separable neural subspaces, challenging classical serial models of sequential…
Melissa Lober, Younes Bouhadjar, Markus Diesmann, Tom Tetzlaff
Processing sequential inputs is a fundamental brain function, underlying tasks such as sensory perception, language, and motor control. A challenge in sequence processing is to represent not only the order of events, but also their precise timing. While existing computational models can learn sequential structure, many…
Jon Sporring, David Stansby
This report addresses larger-than-memory image analysis for petascale datasets such as 1.4 PB electron-microscopy volumes [[4]] and 150 TB human-organ atlases [[6]]. We argue that performance is fundamentally I/O-bound rather than compute-bound. We show that structuring analysis as streaming passes over data is…
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…
Cameron K. Phan, Imogen Breen, David Alais, Reuben Rideaux
Sequentially presented visual stimuli are often employed to investigate the temporal limits of our visual perception and attention. Due to the finite nature of the brains’ processing capacity, experimental designs attempt to increase temporal separation within series to mitigate potential neural interference between…
Nigel Flower, Liina Pylkkänen
Recent behavioral and neural research on reading shows that humans can extract syntactic structure from short sentences within a fraction of a second—faster than many estimates for recognizing the meaning of a single word. This challenges a core assumption of many language processing models: that combinatory operations…
Shujia Chen, Don Straney, Damiano Pasini
Recent advances in mechanical computing have harnessed bistable mechanisms with intrinsic memory to extend the scope of physically embodied intelligence, enabling history-dependent behavior. However, existing mechanical computing architectures largely fail to integrate mechanically encoded memory with the logic…
Carlos M. Gómez, Antonio Arjona, Francisco J. Ruíz-Martínez, Manuel Muñoz-Caracuel + 2 more
Predictive coding is a theory that tries to account for how the brain processes in an anticipatory manner the expected stimuli, and reorganizes the underlying neural networks as a consequence of the outcome of predictions: Correct or incorrect. EEG has the advantage of making a continuous and almost instantaneous…
Maëlan Q. Menétrey, Michael H. Herzog, David Pascucci, Simon van Gaal
In some forms of postdictive phenomena, later events influence the perception of earlier ones, suggesting that conscious perception may be preceded by extended periods of unconscious processing. An example is the Sequential Metacontrast (SQM) paradigm, in which vernier offsets are unconsciously integrated over several…
Isabella Starling-Alves, Eric D. Wilkey
Two-alternative forced choice (2AFC) comparison tasks are widely used to investigate how humans process complex information. However, it is still not fully understood how the format of these tasks influences cognitive strategies. In this study, we analyzed whether 2AFC tasks with simultaneous stimulus presentation…
Rinku Sebastian, Simon O Keefe, Martin A Trefzer
This paper evaluates Reservoir Computing (RC) as an autonomous, 'feature-free' framework for audio processing, designed to eliminate traditional, handcrafted feature extraction stages. We investigate whether the high-dimensional temporal dynamics inherent in a reservoir can function as a robust end-to-end processor for…
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Process chemistry creates scalable routes for new lead molecules and is a crucial but laborious stage in pharmaceutical and agrochemical development cycles. We have built an automated process chemistry platform that tackles late-stage process development. The modular workflow integrates both industry-standard tools and…
Patrick P. Weis, Wilfried Kunde, Robert Wirth
Cognition and affect are closely intertwined: identifying a task-relevant object can elicit positive affect, and successfully solving the associated task can enhance it further. Beyond stimulus-driven processing, theories of proactive control and predictive coding suggest that task-related cognition already unfolds…
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A framework for catalysis based on categorical aperture selection rather than temporal acceleration is presented. Traditional catalysis theory describes catalysts as agents that accelerate reactions by lowering activation energies, implicitly treating time as the fundamental variable and reaction rate enhancement as…
Florian Kattner, Samuel Conrad
Auditory scene analysis enables listeners to segregate and group a mixture of sounds into coherent streams, but it remains controversial to what extent this process depends on the availability of central attention. While previous research suggests that the guidance of visual attention may be independent of central…
Rob Patro, Siddhant Bharti, Prajwal Singhania, Rakrish Dhakal + 2 more
The FASTQ file format is the lingua franca of primary data distribution and processing across most of bioinformatics. Over time, the compression, storage, transmission, and decompression of gzip compressed fastq.gz files has become a substantial scalability bottleneck in the modern world of fast and massively parallel…
Authors not listed
Background: Pharmaceutical batch production faces significant scheduling challenges due to operational uncertainties including equipment failures, yield variability, and demand fluctuations. While scheduling heuristics are widely used in practice, their comparative performance under varying uncertainty conditions…
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Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…
Alan Zhao, Cyril Y. He, Wei Xu
Deployers of online LLM services usually seek to maximize cluster-wide performance given a fixed number of GPUs. Tensor parallelism (TP) is necessary to fit modern models but scales sub-linearly as the TP degree t grows, due to cross-GPU communication and non-scalable runtime work, as predicted by Amdahl's Law.…
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…
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In this study, the M06 global hybrid functional coupled with the 6-311G(d,p) basis set has been employed to systematically investigate the reaction mechanisms and the energetics of the titled reaction having been inspired by the established unique pharmacological attributes of the products, among other scientific…
David Campos, Bin Yang, Tung Kieu, Lei Chen + 2 more
The ongoing digitization has led to a proliferation of time-series data streams that monitor a variety of processes, from which valuable insights may be obtained. Further, the emergence of successful foundational language models begs the question of whether it is possible to achieve time-series models with the…
Jintao Li, Weichang Li, Kai Tong, Xaingyu Guo
Distributed acoustic sensing (DAS) systems generate continuous, ultra-high-channel-count data streams at rates that exceed the capabilities of conventional batch-oriented analysis frameworks. As a result, essential tasks such as interactive exploration of long-duration recordings, scalable event annotation, and…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…