Emergence of structures in neuronal network activities

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 2, 2025

Nonlinear responses of individual neurons are both experimentally established and considered fundamental for the functioning neuronal circuitry. Consequently, one may envisage collective dynamics large networks exhibiting a repertoire nonlinear behaviors. However, an ongoing central challenge in modeling neural involves trade-off between tractability biological realism. This is particularly important exploring range possible networks. Our approach uses Gaussian white noise as probe, thus capturing full system characteristics by using inspired well-established Wiener − Volterra identification approach. We assess model behavior over network architectures stimulation rates demonstrate non-monotonicity nonlinearity property. Perhaps surprisingly, our computational suggests that recurrent systems exhibit complex behaviors do not readily yield to linear every setting. results suggest interpretation experimental data likely discount critical importance properties emerging from architecture. The main contribution this effort highlight network's architecture operating on probing approaches

Язык: Английский

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Brain energy metabolism as an underlying basis to slow-fast cognitive phenotypes in honeybees

Journal of Experimental Biology, Год журнала: 2024, Номер 227(17)

Опубликована: Авг. 2, 2024

In the context of slow-fast behavioral variation, fast individuals are hypothesized to be those who prioritize speed over accuracy while slow which do opposite. Since energy metabolism is a critical component neural and cognitive functioning, this predicts such differences in style reflected at level brain. We tested idea honeybees by first classifying into phenotypes based on learning assay then measuring their brain respiration with high-resolution respirometry. Our results broadly show that inter-individual cognition mass accompanying use whole animal. Larger brains had lower mass-specific usage bees larger higher metabolic rate. These were, turn, associated differences, were whereas smaller phenotypes. discuss these role functioning decision making trade-off.

Язык: Английский

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Evolution of a central dopamine circuit underlies adaptation of light-evoked sensorimotor response in the blind cavefish,Astyanax mexicanus

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Июль 25, 2024

Abstract Adaptive behaviors emerge in novel environments through functional changes neural circuits. While relationships between circuit function and behavior have been well studied, how evolution shapes those circuits leads to behavioral adpation is poorly understood. The Mexican cavefish , Astyanax mexicanus provides a unique genetically amendable model system, equipped with above ground eyed surface fish multiple evolutionarily divergent populations of blind that evolved complete darkness. These differences environment vision provide an opprotunity examine functionally influenced by the presence light. Here, we detection, response induced non visual light reception. Both exhibit photokinetic behavior, becoming hyperactive following sudden darkness illumination. To define these circuits, integrated whole brain imaging our atlas for responding changes. We identified caudal posterior tuberculum as central modulator both or dark stimulated photokinesis. unconver spatiotemporal neuronal activity differed cavefish, used stable pan-neuronal GCaMP transgenics show subpopulation sensitve neurons are now senstive cavefish. Further analysis revealed this integrative switch dependent on dopmane signaling, suggesting key role dopamine highly conserved modulating driving essential behavior. Together, data shed into adapte settings, reveal power elucidate mechanistic ingiths underlying sensory adaptation. Figure

Язык: Английский

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Mosaic evolution of a learning and memory circuit in Heliconiini butterflies

Current Biology, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

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