Directed adaptation of synchronization levels in oscillator communities

Fengler, Enrico; Totz, Jan Frederik; Kaluza, Pablo; Engel, Harald

doi:10.1063/1.5094490

Cited by 3 publications

(1 citation statement)

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“…This corresponds to the adaptation of synaptic weights in a neural network (see §4d), highlighting that the combination of these rather general mechanisms can facilitate learning in addition to maintaining criticality. Recently, these principles of adaptation have been experimentally verified in an artificial system of optically coupled chemical oscillators [144] and have been extended to complex, modular synchronization patterns [145].…”

Section: From Oscillations To Learningmentioning

confidence: 99%

Adaptive behaviour and learning in slime moulds: the role of oscillations

Boussard

Fessel

Oettmeier

et al. 2021

Phil. Trans. R. Soc. B

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The slime mould Physarum polycephalum , an aneural organism, uses information from previous experiences to adjust its behaviour, but the mechanisms by which this is accomplished remain unknown. This article examines the possible role of oscillations in learning and memory in slime moulds. Slime moulds share surprising similarities with the network of synaptic connections in animal brains. First, their topology derives from a network of interconnected, vein-like tubes in which signalling molecules are transported. Second, network motility, which generates slime mould behaviour, is driven by distinct oscillations that organize into spatio-temporal wave patterns. Likewise, neural activity in the brain is organized in a variety of oscillations characterized by different frequencies. Interestingly, the oscillating networks of slime moulds are not precursors of nervous systems but, rather, an alternative architecture. Here, we argue that comparable information-processing operations can be realized on different architectures sharing similar oscillatory properties. After describing learning abilities and oscillatory activities of P. polycephalum , we explore the relation between network oscillations and learning, and evaluate the organism's global architecture with respect to information-processing potential. We hypothesize that, as in the brain, modulation of spontaneous oscillations may sustain learning in slime mould. This article is part of the theme issue ‘Basal cognition: conceptual tools and the view from the single cell’.

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Section: From Oscillations To Learningmentioning

confidence: 99%

Adaptive behaviour and learning in slime moulds: the role of oscillations

Boussard

Fessel

Oettmeier

et al. 2021

Phil. Trans. R. Soc. B

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Transition to synchronization in heterogeneous inhibitory neural networks with structured synapses

Urdapilleta

2021

Chaos: An Interdisciplinary Journal of Nonlinear Science

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Inhibitory neurons form an extensive network involved in the development of different rhythms in the cerebral cortex. A transition from an incoherent state, where all inhibitory neurons fire unrelated to each other, to a synchronized or locked state, where all or most neurons define a tight firing pattern, is maybe the most salient process to analyze when considering neuronal rhythms. In this work, we analyzed whether different patterns of effective synaptic connectivity may support a first-order-like transition in this path to synchronization. Such an “explosive” phenomenon may be relevant in neural processes, as normal cognitive processing in different tasks and some neurological disorders manifest an increased power in many neuronal rhythms, supported by an extended concerted spiking activity and an abrupt change to this state. Furthermore, we built an adaptive mechanism that supports the generation of this kind of network, which rapidly creates the underlying structure based on the ongoing firing statistics.

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