19 papers · ranked by Valyu relevance
Alberto Mazzoni, Frédéric D. Broccard, Elizabeth Garcia-Perez, Paolo Bonifazi + 3 more
'Paolo Bonifazi' 'Maria Elisabetta Ruaro' 'Vincent Torre' 'Olaf Sporns'] Most neuronal networks, even in the absence of external stimuli, produce spontaneous bursts of spikes separated by periods of reduced activity. The origin and functional role of these neuronal events are still unclear. The present work shows that…
Stanislas Dehaene, Jean-Pierre Changeux, Larry Abbott
Even in the absence of sensory inputs, cortical and thalamic neurons can show structured patterns of ongoing spontaneous activity, whose origins and functional significance are not well understood. We use computer simulations to explore the conditions under which spontaneous activity emerges from a simplified model of…
Lysea Haggie, Thor Besier, Angus McMorland
Computational models of cortical activity can provide in-sight into the mechanisms of higher-order processing in the human brain including planning, perception and the control of movement. Activity in the cortex is ongoing even in the absence of sensory input or discernible movements and is thought to be linked to the…
Tuğba Palabaş, André Longtin, Dibakar Ghosh, Muhammet Uzuntarla
Mounting evidence in recent years suggests that astrocytes, a sub-type of glial cells, not only serve metabolic and structural support for neurons and synapses but also play critical roles in regulation of proper functioning of the nervous system. In this work, we investigate the effect of astrocyte on the spontaneous…
Javier Lucas-Romero, Ivan Rivera-Arconada, Jose Antonio Lopez-Garcia
Spontaneous activity refers to the firing of action potentials by neurons in the absence of external stimulation. Initially considered an artifact or “noise” in the nervous system, it is now recognized as a potential feature of neural function. Spontaneous activity has been observed in various brain areas, in…
Lysea Haggie, Thor F. Besier, Angus J. C. McMorland
Computational models of cortical activity can provide insight into the mechanisms of higher-order processing in the human brain including planning, perception and the control of movement. Activity in the cortex is ongoing even in the absence of sensory input or discernible movements and is thought to be linked to the…
Haotian Xu, Yang, Jiannan, Gao + 3 more
Large Language Models (LLMs) achieve state-of-the-art performance across a wide range of applications, but their massive scale poses significant challenges for both efficiency and interpretability. Structural pruning, which reduces model size by removing redundant computational units such as neurons, has been widely…
Masud Ehsani, Jürgen Jost
We investigate spontaneous critical dynamics of excitatory and inhibitory (EI) sparsely connected populations of spiking leaky integrate-and-fire neurons with conductance-based synapses. We use a bottom-up approach to derive a single neuron gain function and a linear Poisson neuron approximation which we use to study…
Sou Nobukawa, Haruhiko Nishimura, Teruya Yamanishi
Temporal fluctuation of neural activity in the brain has an important function in optimal information processing. Spontaneous activity is a source of such fluctuation. The distribution of excitatory postsynaptic potentials (EPSPs) between cortical pyramidal neurons can follow a log-normal distribution. Recent studies…
Shingo Nakazawa, Yumiko Yoshimura, Masahiro Takagi, Hidenobu Mizuno + 1 more
Spatially-organized spontaneous activity is a characteristic feature of developing mammalian sensory systems. However, the transitions of spontaneous-activity spatial organization during development and related mechanisms remain largely unknown. We reported previously that layer 4 (L4) glutamatergic neurons in the…
Marina E. Wosniack, Jan H. Kirchner, Ling-Ya Chao, Nawal Zabouri + 2 more
Spontaneous activity drives the establishment of appropriate connectivity in different circuits during brain development. In the mouse primary visual cortex, two distinct patterns of spontaneous activity occur before vision onset: local low-synchronicity events originating in the retina, and global high-synchronicity…
Chih-Hsu Huang, Yu-Ting Huang, Chun-Chung Chen, C. K. Chan
Developing networks of neural systems can exhibit spontaneous, synchronous activities called neural bursts, which can be important in the organization of functional neural circuits. Before the network matures, the activity level of a burst can reverberate in repeated rise-and-falls in periods of hundreds of…
Afifurrahman Afifurrahman, Mohd Hafiz Mohd
This study aims to review recent research on the collective behavior of excitatory and inhibitory (E-I) spiking neural networks. The research methodology used is Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) procedures, comprising three primary stages: an initial search for literature in…
Roberto Fenollosa, Juan Bisquert
Resets: Continuous Integrate-and-Fire Dynamics in Neuronal Circuits Authors: Roberto Fenollosa, Juan Bisquert The leaky integrate-and-fire paradigm is widely used to describe spiking dynamics in biological and artificial neurons. However, its implementation typically relies on explicit reset rules or intrinsic…
Masud Ehsani, Jürgen Jost
In Ehsani and Jost (2022), we have shown that the dynamics of an interconnected population of excitatory and inhibitory spiking neurons wandering around a Bogdanov-Takens (BT) bifurcation point can generate the observed scale-free avalanches at the population level and the highly variable spike patterns of individual…
Tom Baden, Ben James, Maxime JY Zimmermann, Phillip Bartel + 3 more
Understanding of how neurons encode and compute information is fundamental to our study of the brain, but opportunities for hands-on experience with neurophysiological techniques on live neurons are scarce in science education. Here, we present Spikeling, an open source £25 in silico implementation of a spiking neuron…
Tom Baden, Ben James, Maxime J. Y. Zimmermann, Phillip Bartel + 4 more
'Dorieke Grijseels' 'Thomas Euler' 'Leon Lagnado' 'Miguel Maravall'] Understanding how neurons encode and compute information is fundamental to our study of the brain, but opportunities for hands-on experience with neurophysiological techniques on live neurons are scarce in science education. Here, we present…
Sang-Yoon Kim, Woochang Lim
We consider a two-population network consisting of both inhibitory (I) interneurons and excitatory (E) pyramidal cells. This I-E neuronal network has adaptive dynamic I to E and E to I interpopulation synaptic strengths, governed by interpopulation spike-timing-dependent plasticity (STDP). In previous works without…
Monicka Kullappan, Wes Patel, Manoj Chaudhury
Micro and/or Nano sized emulsions are formed when an organic liquid gently comes in contact with water in the presence of a surfactant, where no external agitation is required. Many years of research made it clear that the driving force for spontaneous emulsification arises from the differences of the chemical…