Multistable Synaptic Plasticity Induces Memory Effects and Cohabitation of Chimera and Bump States in Leaky Integrate-and-Fire Networks

Entropy, Год журнала: 2025, Номер 27(3), С. 257 - 257

Опубликована: Фев. 28, 2025

Chimera states and bump are collective synchronization phenomena observed independently (in different parameter regions) in networks of coupled nonlinear oscillators. And while chimera characterized by coexistence coherent incoherent domains, consist alternating active inactive domains. The idea multistable plasticity the network connections originates from brain dynamics where strength synapses (axons) connecting nodes (neurons) may change dynamically time; when reaching steady state be found one many possible values depending on various factors, such as local connectivity, influence neighboring cells etc. sign link weights is also a significant factor dynamics: positive excitatory negative ones inhibitory. In present study we consider simplest case bistable plasticity, has only two fixed points. During system/network integration, consequence organizes or inhibitory domains synaptic strengths. We specifically explore numerically demonstrate that linking may, under special conditions, give rise to co-existence bump-like chimera-like simultaneously network. co-existence, confinement effects appear: stay localized do not travel around Memory reported sense final spatial arrangement coupling strengths reflects some properties initial distribution. For quantification system’s temporal features, global entropy functions employed measures organization, average firing rates account for evolution dynamics. particular, minima designate transition points between hybrid states, number corresponds addition, deviations signify presence

Язык: Английский

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High-order synchronization in identical neurons with asymmetric pulse coupling

Physical review. E, Год журнала: 2025, Номер 111(3)

Опубликована: Март 3, 2025

The phenomenon of high-order (p/q) synchronization, induced by two different frequencies in the system, is well known and studied extensively forced oscillators including neurons to a lesser extent coupled oscillators. Their are locked such that for every p cycles one oscillator there q other. We demonstrate this pair having identical but asymmetric coupling. Specifically, we focus on an excitatory-inhibitory (E-I) neuron where asymmetry naturally present even with equal reciprocal synaptic strengths (g) inverse time constant (α). thoroughly investigate coupling-induced p/q frequency-locking structure (g,α) parameter space through simulations analysis. Simulations display quasiperiodicity, devil staircase, Farey arrangement spike sequences, presence reducible irreducible regions. introduce analytical method, based event-driven maps, determine existence stability any sequence frequency-locked state. method successfully deals nonsmooth bifurcations could utilize it obtain solutions case E-I under arbitrary coupling strength. In contrast so-called Arnold tongues, regions obtained here not structureless. Instead they have their own internal bifurcation varying levels complexity. Intrasequence intersequence multistability, involving sequences same state, found. Additionally, multistability also arises overlap p^{'}/q^{'}. boundaries both defined saddle node grazing various types.

Язык: Английский

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An ultrastructural map of a spinal sensorimotor circuit reveals the potential of astroglia modulation

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Март 6, 2025

Information flow through circuits is dictated by the precise connectivity of neurons and glia. While a single astrocyte can contact many synapses, how glial-synaptic interactions are arranged within circuit to impact information remains understudied. Here, we use local spinal sensorimotor in zebrafish as model understand astroglia connected vertebrate circuit. With semi-automated cellular reconstructions automated approaches map all synaptic connections, identified connections circuit, from dorsal root ganglia interneurons finally motor neurons. This revealed complex network that interact We then mapped glial processes tripartite synapses demonstrate equally distributed across supporting idea glia modulate at different levels. show multiple astroglia, including bona fide astrocytes, sensory neuron's each these parts detailed reveals an extensive process stimuli vertebrate. utilized this ultrastructural thresholding modulation could alter circuits. validated with GCaMP6s imaging ganglia, astroglia. work provides foundational resource detailing organization offering insights influence neural networks.

Язык: Английский

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Regulation of pre-dawn arousal in Drosophila by a pair of trissinergic descending neurons of the visual and circadian networks

Current Biology, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

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Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP

PLoS Computational Biology, Год журнала: 2025, Номер 21(4), С. e1012973 - e1012973

Опубликована: Апрель 22, 2025

The modular and hierarchical organization of the brain is believed to support coexistence segregated (specialization) integrated (binding) information processes. A relevant question yet understand how such architecture naturally emerges sustained over time, given plastic nature brain’s wiring. Following evidences that sensory cortices organize into assemblies under selective stimuli, it has been shown stable neuronal can emerge due targeted stimulation, embedding various forms synaptic plasticity in presence homeostatic and/or control mechanisms. Here, we show simple spike-timing-dependent (STDP) rules, based only on pre- post-synaptic spike times, also lead encoding memories absence any mechanism. We develop a model spiking neurons, trained by stimuli targeting different sub-populations. satisfies some biologically plausible features: (i) contains excitatory inhibitory neurons with Hebbian anti-Hebbian STDP; (ii) neither activity nor weights are frozen after learning phase. Instead, allowed fire spontaneously while remains active. find combination two STDP sub-populations allows for formation modules network, each sub-population playing distinctive role. controls firing activity, promote pattern selectivity. After phase, network settles an asynchronous irregular resting-state. This post-learning associated spontaneous memory recalls which turn out be fundamental long-term consolidation learned memories. Due its simplicity, introduced represent test-bed further investigations role played storing maintenance.

Язык: Английский

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A complex network-based approach to detect and investigate connectome motifs in the larval Drosophila

Computers in Biology and Medicine, Год журнала: 2025, Номер 192, С. 110135 - 110135

Опубликована: Апрель 25, 2025

Analyzing the connectome of an organism allows us to understand how different areas its brain communicate with each other and structure is related function. Thanks new technological advances, increasingly complex organisms has been reconstructed in recent years. Drosophila melanogaster currently most whose complete known, both structurally functionally. In this paper, we aim contribute study structural by proposing ad hoc approach for discovery network motifs that may be present it. Unlike previous approaches, which focused on parts or entire very simple organisms, our operates at whole-brain scale known. Furthermore, while works have extending existing motif extraction approaches case, proposes a concept specifically designed organism. This find abstracting them into few types take account regions neurons involved belong.

Язык: Английский

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A complete wiring diagram of the fruit-fly brain

Nature, Год журнала: 2024, Номер 634(8032), С. 35 - 36

Опубликована: Окт. 2, 2024

Язык: Английский

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Diverting glial glycolytic flux towards neurons is a memory-relevant role of Drosophila CRH-like signalling

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Дек. 2, 2024

Abstract An essential role of glial cells is to comply with the large and fluctuating energy needs neurons. Metabolic adaptation integral acute stress response, suggesting that could be major, yet overlooked, targets hormones. Here we show Dh44 neuropeptide, Drosophila homologue mammalian corticotropin-releasing hormone (CRH), acts as an experience-dependent metabolic switch for glycolytic output in glia. released by dopamine neurons limits fatty acid synthesis build-up lipid stores. Although basally active, this hormonal axis acutely stimulated following learning a danger-predictive cue. This results transient suppression anabolic use pyruvate, sparing it memory-relevant supply Diverting pyruvate destination may dampen need upregulate glycolysis response increased neuronal demand. beneficial efficiency memory formation, mechanism reveals ongoing competition between fuelling anabolism.

Язык: Английский

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ViMO - Visual Analysis of Neuronal Connectivity Motifs

IEEE Transactions on Visualization and Computer Graphics, Год журнала: 2023, Номер 30(1), С. 748 - 758

Опубликована: Окт. 26, 2023

Recent advances in high-resolution connectomics provide researchers with access to accurate petascale reconstructions of neuronal circuits and brain networks for the first time. Neuroscientists are analyzing these better understand information processing brain. In particular, scientists interested identifying specific small network motifs, i.e., repeating subgraphs larger that believed be building blocks. Although such motifs typically (e.g., 2 - 6 neurons), vast data sizes intricate complexity present significant challenges search analysis process. To analyze it is crucial review instances a motif then map graph structure detailed 3D involved neurons synapses. We Vimo, an interactive visual approach chains large networks. Experts can sketch intuitively interface specify structural properties synapses query datasets. Motif (MIs) explored renderings. simplify MIs, we designed continuous focus&context metaphor inspired by abstractions. This allows users transition from highly-detailed rendering anatomical views emphasize underlying synaptic connectivity. Furthermore, Vimo supports identification where used repeatedly 4 times) form structure. evaluate user study in-depth case seven domain experts on connectome fruit fly, including more than 21,000 20 million find enables hypothesis generation confirmation through fast iterations connectivity highlighting.

Язык: Английский

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BIFROST: A method for registering diverse imaging datasets of the Drosophila brain

Proceedings of the National Academy of Sciences, Год журнала: 2024, Номер 121(47)

Опубликована: Ноя. 14, 2024

Imaging methods that span both functional measures in living tissue and anatomical fixed have played critical roles advancing our understanding of the brain. However, making direct comparisons between different imaging modalities, particularly spanning tissue, has remained challenging. For example, comparing brain-wide neural dynamics across experiments aligning such data to resources, as gene expression patterns or connectomes, requires precise alignment a common set coordinates. reaching this goal is difficult because registering vivo ex reference atlases accommodating differences modality, microscope specification, sample preparation. We overcome these challenges

Язык: Английский

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