22 papers · ranked by Valyu relevance
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…
Jingwen Li, Woodrow L. Shew, Alireza Soltani
According to many experimental observations, neurons in cerebral cortex tend to operate in an asynchronous regime, firing independently of each other. In contrast, many other experimental observations reveal cortical population firing dynamics that are relatively coordinated and occasionally synchronous. These…
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.…
Christian Bick, Michael Field
Real-world networks in technology, engineering and biology often exhibit dynamics that cannot be adequately reproduced using network models given by smooth dynamical systems and a fixed network topology. Asynchronous networks give a theoretical and conceptual framework for the study of network dynamics where nodes can…
Omri Harish, David Hansel, Olaf Sporns
The brain exhibits temporally complex patterns of activity with features similar to those of chaotic systems. Theoretical studies over the last twenty years have described various computational advantages for such regimes in neuronal systems. Nevertheless, it still remains unclear whether chaos requires specific…
Faruk Alpay
I introduce a novel mathematical framework integrating topological dynamics, operator algebras, and ergodic geometry to study lattices of asynchronous metric dynamical systems. Each node in the lattice carries an internal flow represented by a one-parameter family of operators, evolving on its own time scale. I…
Omri Harish, David Hansel
The brain exhibits temporally complex patterns of activity with features similar to those of chaotic systems. Theoretical studies over the last twenty years have described various computational advantages for such regimes in neuronal systems. Nevertheless, it still remains unclear whether chaos requires specific…
Chao Luo, Xingyuan Wang, Peter Csermely
A novel algebraic approach is proposed to study dynamics of asynchronous random Boolean networks where a random number of nodes can be updated at each time step (ARBNs). In this article, the logical equations of ARBNs are converted into the discrete-time linear representation and dynamical behaviors of systems are…
Nazim Fatès
By their very simplicity, cellular automata are mathematical objects that occupy a privileged situation in the study of complex systems. They are formed of a regular arrangement of simple automata, the cells, which can hold a finite number of states. Cellular automata are as mosaics with tiles that autonomously change…
Ebrahim L. Patel, David S. Broomhead
This paper presents a new framework for asynchrony. This has its origins in our attempts to better harness the internal decision making process of cellular automata (CA). Thus, we show that a max-plus algebraic model of asynchrony arises naturally from the CA requirement that a cell receives the state of each neighbour…
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…
Christian Bick, Michael Field
In this note we describe the theory of functional asynchronous networks and one of the main results, the Modularization of Dynamics Theorem, which for a large class of functional asynchronous networks gives a factorization of dynamics in terms of constituent subnetworks. For these networks we can give a complete…
Antonio Bensussen, J. Arturo Arciniega-González, Elena R. Álvarez-Buylla, Juan Carlos Martínez-García
Characterizing the minimum, necessary and sufficient components to generate the dynamics of a biological system has always been a priority to understand its functioning. In this sense, the canonical form of biological systems modeled by Boolean networks accurately defines the components in charge of controlling the…
Gerardo Malagon, Jongyun Myeong, Vitaly A Klyachko, Ege T Kavalali + 1 more
'Lu Chen'] Asynchronous release is a ubiquitous form of neurotransmitter release that persists for tens to hundreds of milliseconds after an action potential. How asynchronous release is organized and regulated at the synaptic active zone (AZ) remains debatable. Using nanoscale-precision imaging of individual release…
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)…
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…
Ekkehard Ullner, Antonio Politi, Alessandro Torcini
We revisit the dynamics of a prototypical model of balanced activity in networks of spiking neurons. A detailed investigation of the thermodynamic limit for fixed density of connections (massive coupling) shows that, when inhibition prevails, the asymptotic regime is not asynchronous but rather characterized by a…
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…
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…
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…
Martina Crippa, Claudio Perego, Anna de Marco, Giovanni M. Pavan
Supramolecular polymers are composed of monomers that self-assemble non-covalently, generating distributions of monodimensional fibres in continuous communication with each other and with the surrounding solution. Fibres, exchanging molecular species, and external environment constitute a sole complex system, which…
Brigitte Kriebisch, Christine Kriebisch, Alexander Bergmann, Caren Wanzke + 2 more
Nature uses dynamic, molecular self-assembly to create cellular architectures that adapt to their environment. For example, a guanosine triphosphate (GTP)-driven reaction cycle activates and deactivates tubulin for assembly into microtubules and disassembly. Inspired by dynamic self-assembly in biology, multiple…