16 papers · ranked by Valyu relevance
Rana Mozumder, Zhengyang Wang, Wenhao Dang, Junda Zhu + 3 more
Persistent spiking activity and activity-silent mechanisms have been proposed as neural correlates of working memory. To determine their relative contribution, we recorded neural activity from the lateral prefrontal and posterior parietal cortex of two male macaques using high-density microelectrode probes. We found…
Rana Mozumder, Zhengyang Wang, Wenhao Dang, Junda Zhu + 3 more
Title: SUMMARY Persistent spiking activity and activity-silent mechanisms have been proposed as neural correlates of working memory. To determine their relative contribution, we recorded neural activity from the lateral prefrontal and posterior parietal cortex of two male macaques using high-density microelectrode…
Kevin J. Zhang, Lisa M. Monteggia, Ege T. Kavalali
Neuronal communication is governed by a diverse repertoire of neurotransmitter release modes, each with distinct molecular machinery and functional roles. Beyond rapid, high-fidelity synchronous release, asynchronous release supports sustained neurotransmitter output, while spontaneous, action-potential-independent…
Lu, Han, Liu, Zichen + 40 more
Han Lu12 ∗ , Zichen Liu1∗† , Shaopan Xiong1∗† , Yancheng He1 ∗ , Wei Gao3 ∗ , Yanan Wu∗,1, Weixun Wang1∗† , Jiashun Liu13, Yang Li12, Haizhou Zhao 1 , Ju Huang 1 , Siran Yang 1 , Xiaoyang Li 1 , Yijia Luo 1 , Zihe Liu 1 , Ling Pan 3 , Junchi Yan 2 , Wei Wang 3 , Wenbo Su 1 , Jiamang Wang 1 , Lin Qu 1 , Bo Zheng 1 1…
Doruk Efe Gökmen, Michel Fruchart, Dmitrii Zendrikov, Giacomo Indiveri + 2 more
Computation is the controlled evolution of a state. Asynchronous evolutions, where all parts of the state change in their own time without stopping each other, put this control in jeopardy. It is in fact a mystery how natural processes perform asynchronous computations using many units with no global orchestration.…
Iván Mindlin, Carlos Coronel-Oliveros, Marc Llabrés, Jacobo D. Sitt + 5 more
A main characteristic of biological systems is their capacity to dynamically adapt to environmental changes. In the brain, synaptic plasticity enables the strengthening or weakening of connections between neurons, allowing neural circuits to adapt based on experience, learning, and environmental changes. Yet, it is…
Thomas SJ Burger, Michael E Rule, Timothy O'Leary, Gordon J Berman + 1 more
Dendritic action potentials exhibit long plateaus of many tens of milliseconds, outliving axonal spikes by an order of magnitude. The computational role of these slow events seems at odds with the need to rapidly integrate and relay information throughout large nervous systems. We propose that the timescale of…
Yihui Wang, Sheng-Yu Peng, Sahil Shah
This paper presents a fully synthesizable, treebased Address-Event Representation (AER) encoder designed for scalable neuromorphic computing systems. To achieve high throughput while maintaining strict compatibility with commercial EDA workflows, the asynchronous design employs a bundled-data protocol within a…
Wanyi Liu, Andrew E. Worthy, Alan J. Emanuel
Fast-conducting Aβ slowly adapting type I low threshold mechanoreceptors (SAI-LTMRs) and Aβ rapidly adapting type I (RAI-) LTMRs are critical for discriminative touch from glabrous skin. Recent studies used mouse genetic loss-of-function and optogenetic gain-of-function manipulations to determine that signals from…
Ségolène M.R. Guérin, Costas I. Karageorghis, Marine R. Coeugnet, Marcelo Bigliassi + 1 more
Asynchronous music has been commonly used to reduce perceived exertion and render the exercise experience more pleasant. Research has indicated that in-task asynchronous music can reallocate an individual’s attentional focus to task-unrelated signals and increase the use of dissociative thoughts. Nonetheless, the brain…
Anqing Chen
Browser-based simulations execute over asynchronous runtime mechanisms including event loops, rendering callbacks, and independently scheduled Web Workers, causing simulation progression to depend on runtime timing and callback scheduling behavior. RepliCore addresses this problem by separating asynchronous runtime…
Haiqing Hao, Zhipeng Sui, Rong Zou, Zijia Dai + 3 more
Event cameras provide sequential visual data with spatial sparsity and high temporal resolution, making them attractive for low-latency object detection. Existing asynchronous event-based neural networks exploit this low-latency advantage by updating predictions event by event, but still suffer from two bottlenecks…
Shivam Shah, Ikaasa Suri, Helen Gordan, Nicole Schwartz + 7 more
Background Asynchronous care has emerged as a promising approach to improving healthcare accessibility while potentially reducing costs, particularly for low-acuity conditions. Our objective was to describe the use patterns, patient characteristics, and short-term clinical outcomes of an emergency department (ED)-led…
Liu, Zishuai, You, Weihang + 4 more
Ambient sensor-based human activity recognition (HAR) in smart homes remains challenging due to the need for realtime inference, spatially grounded reasoning, and context-aware temporal modeling. Existing approaches often rely on pre-segmented, within-activity data and overlook the physical layout of the environment…
Authors not listed
We present graphRC, a graph-based method for rapid transition state (TS) mode analysis that provides chemical insight along normal mode displacements and reaction coordinate trajectories by translating Cartesian displacements into meaningful internal coordinate changes. Internal coordinates are constructed using…
Authors not listed
Generative artificial intelligence (AI) tools such as large language models (LLMs) have become ubiquitous in everyday life, and are also increasingly finding applications in the chemical sciences. Although LLMs have achieved impressive performance on many chemistry tasks, optimal performance requires proper use…