23 papers · ranked by Valyu relevance
Eric S Kuebler, Jean-Philippe Thivierge
Recordings of neuronal networks in cortex show evidence of asynchronous - or out-of-phase - activity. Cells are known to generate asynchronous outputs despite strongly shared synaptic inputs , yet the computational benefits of this coding remain unclear. By comparison, synchronized activity in neuronal networks has…
Yann Zerlaut, Stefano Zucca, Stefano Panzeri, Tommaso Fellin
The cerebral cortex of awake animals exhibits frequent transitions between diverse non-rhythmic network states. However, it is still unclear how these different activity states emerge within the same network and how each state impacts network function. Here, we demonstrate that model networks of spiking neurons with…
Mario Treviño
Computations in cortical circuits require action potentials from excitatory and inhibitory neurons. In this mini-review, I first provide a quick overview of findings that indicate that GABAergic neurons play a fundamental role in coordinating spikes and generating synchronized network activity. Next, I argue that these…
Wu-Jie Yuan, Jian-Fang Zhou, Changsong Zhou, Matjaž Perc
In sensory neural system, external asynchronous stimuli play an important role in perceptual learning, associative memory and map development. However, the organization of structure and dynamics of neural networks induced by external asynchronous stimuli are not well understood. Spike-timing-dependent plasticity (STDP)…
Sidi Mohamed Beillahi, Ahmed Bouajjani, Constantin Enea, Shuvendu K. Lahiri
'Shuvendu K. Lahiri'] > Abstract. Asynchronous programming is widely adopted for building responsive and efficient software, and modern languages such as C# provide async/await primitives to simplify the use of asynchrony. In this paper, we propose an approach for refactoring a sequential program into an asynchronous…
Vladislav Volman, Herbert Levine, Terrence J. Sejnowski, Lyle J. Graham
'Lyle J. Graham'] The sensitivity of a neuron to its input can be modulated in several ways. Changes in the slope of the neuronal input-output curve depend on factors such as shunting inhibition, background noise, frequency-dependent synaptic excitation, and balanced excitation and inhibition. However, in early…
Semir Zeki
Whether the visual brain uses a parallel or a serial, hierarchical, strategy to process visual signals, the end result appears to be that different attributes of the visual scene are perceived asynchronously-with colour leading form (orientation) by 40 ms and direction of motion by about 80 ms. Whatever the neural root…
Mohamed A. El-Zawawy
This paper presents a new and simple, yet powerful, model for asynchronous programming. The proposed model consists of two components; a context-free grammar and an operational semantics. The model is supported by the ability to express important applications. An advantage of our model over related work is that the…
Nikolay Chenkov, Henning Sprekeler, Richard Kempter
Electrophysiological recordings suggest that cortical circuits operate in a regime where the excitatory and inhibitory currents received by individual neurons are highly correlated in both time and stimulus selectivity. For such balanced input, neurons are activated by fluctuations in the input and tend to fire…
Romero Morais, Vuong Le, Svetha Venkatesh, Truyen Tran
Human activities are strongly connected to the surrounding environment and the objects in it. The interactions between human and object entities observed in videos are a fundamental clue toward a deep understanding of human behavior and the surrounding world . This capability is reflected in the human-object…
Dan Guevarra, Kevin Kan, Yungchieh Lai, Ryan Jones + 5 more
Advancements in artificial intelligence (AI) for science are continually expanding the value proposition for automation in materials and chemistry experiments. The advent of hierarchical decision-making also motivates automation of not only the individual measurements but also the coordination among multiple research…
Gerardo Malagon, Jongyun Myeong, Vitaly A Klyachko
Asynchronous release is a ubiquitous form of neurotransmitter release that persists for tens to hundreds of milliseconds after an action potential (AP). How asynchronous release is organized and regulated at the synaptic active zone (AZ) remains debatable. Using nanoscale-precision imaging of individual release events…
Shubham Gupta, Thibaut Durand, Graham Taylor, Lilian W. Białokozowicz
'Lilian W. Białokozowicz'] We present a novel prompt design for Large Language Models (LLMs) tailored to Asynchronous Time Series. Unlike regular time series, which assume values at evenly spaced time points, asynchronous time series consist of timestamped events occurring at irregular intervals, each described in…
R. F. Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang + 1 more
Networks Authors: ['R. F. Koopman' 'Amirreza Yousefzadeh' 'Mahyar Shahsavari' 'Guangzhi Tang' 'Manolis Sifalakis'] Currently, neural-network processing in machine learning applications relies on layer synchronization, whereby neurons in a layer aggregate incoming currents from all neurons in the preceding layer, before…
Shuo Li, Sumana Raychaudhuri, Stephen Alexander Lee, Jing Wang + 8 more
Neurotransmitter is released synchronously and asynchronously following an action potential. The release sites of these two phases are segregated within an active zone, with asynchronous release sites enriched near the center. Here we demonstrate that synchronous and asynchronous release sites are aligned with AMPA…
Logan A. Becker, Baowang Li, Nicholas J. Priebe, Eyal Seidemann + 1 more
The spiking activity of neocortical neurons exhibits a striking level of variability, even when these networks are driven by identical stimuli. The approximately Poisson firing of neurons has led to the hypothesis that these neural networks operate in the asynchronous state. In the asynchronous state neurons fire…
Authors not listed
With the ever-increasing demand for atomistic structures representative of real-life systems as well as the ad-vent of exascale computers, it has now become necessary and possible to use advanced global optimization (GO) techniques to intelligently sample the potential energy surface (PES). Given the previous studies…
Bonne Habekost, Maria Germann, Stuart N. Baker
[F0006] and [F0006], shows average PETH profiles across all MUA during task assessment before and after synchronous ([F0006]) and asynchronous ([F0006]) stimulation (comparison of task before and task after as illustrated in [F0002]). There was no clear difference between baseline (task before) PETH profiles for…
Rika Kobayashi, Theodorus P. M. Goumans, N. Ole Carstensen, Thomas M. Soini + 11 more
The COVID-19 pandemic disrupted chemistry teaching practices globally as many courses were forced online necessitating adaptation to the digital platform. The biggest impact was to the practical component of the chemistry curriculum – the so-called wet lab. Naively, it would be thought that computer-based teaching labs…
Daniel Adrion, Waruni Karunaratne, Steven Lopez
Gas-evolving photochemical reactions use mild conditions to access strained organic compounds irreversibly. Cyclopropenones are a class of pseudo-aromatic light-responsive molecules used in bioorthogonal photoclick reactions; their excited-state decarbonylation reaction mechanisms are misunderstood due to their…
Alexander Anwyl-Irvine, Jessica Massonnié, Adam Flitton, Natasha Kirkham + 1 more
Behavioural researchers are increasingly conducting their studies online to gain access to large and diverse samples that would be difficult to get in a laboratory environment. However, there are technical access barriers to building experiments online, and web-browsers can present problems for consistent timing – an…
Cristian B. Calderon, Tom Verguts, Michael J. Frank
Adaptive sequential behavior is a hallmark of human cognition. In particular, humans can learn to produce precise spatiotemporal sequences given a certain context. For instance, musicians can not only reproduce learned action sequences in a context-dependent manner, they can also quickly and flexibly reapply them in…
Tanjila Mawla, Maanak Gupta, Safwa Ameer, Ravi Sandhu
With the integration of connected devices, artificial intelligence, and heterogeneous networks in IoT-driven cyber-physical systems, our society is evolving as a smart, automated, and connected community. In such dynamic and distributed environments, various operations are carried out considering different contextual…