A Comparative Study of Reinforcement Learning and Insect-Inspired Visual Navigation Methods DOI
Xiaoting Zhong, Xuelong Sun, Haiyang Li

и другие.

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 163 - 175

Опубликована: Дек. 12, 2024

Язык: Английский

Evolution of neural circuitry and cognition DOI Creative Commons
Max S. Farnworth,

Stephen H. Montgomery

Biology Letters, Год журнала: 2024, Номер 20(5)

Опубликована: Май 1, 2024

Neural circuits govern the interface between external environment, internal cues and outwardly directed behaviours. To process multiple environmental stimuli integrate these with state requires considerable neural computation. Expansion in network size, most readily represented by whole brain has historically been linked to behavioural complexity, or predominance of cognitive Yet, it is largely unclear which aspects circuit variation impact performance. A key question field evolutionary neurobiology therefore how evolve allow improved performance innovation. We discuss this first exploring volumetric changes areas reflect actual change. explore three major axes evolution-replication, restructuring reconditioning cells circuits-and could relate broader phenotypes variation. This discussion touches on relevant uses limitations volumetrics, while advocating a more circuit-based view cognition. then use framework showcase an example from insect brain, multi-sensory integration processing that shared mushroom bodies central complex. end identifying future trends research area, promise advance neurobiology.

Язык: Английский

Процитировано

4

Mosaic evolution of a learning and memory circuit in Heliconiini butterflies DOI Creative Commons
Max S. Farnworth,

Theodora Loupasaki,

Antoine Couto

и другие.

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

Опубликована: Апрель 24, 2024

Abstract A critical function of central neural circuits is to integrate sensory and internal information cause a behavioural output. Evolution modifies such generate adaptive change in detection behaviour, but it remains unclear how selection does so the context existing functional developmental constraints. Here, we explore this question by analysing evolutionary dynamics insect mushroom body circuits. Mushroom bodies are constructed from conserved wiring logic, mainly consisting Kenyon cells, dopaminergic neurons output neurons. cells carry identity signals, which modified strength carried forward into other brain areas Despite makeup circuit, there huge diversity size shape across insects. However, an empirical framework evolution architecture circuit largely lacking. To address this, leverage recent radiation Neotropical tribe butterflies, Heliconiini (Nymphalidae), show extensive variation over comparatively short phylogenetic timescales, linked specific changes foraging ecology, life history cognition. understand mechanism increase accommodated through lobe architecture, first combined immunostainings structural markers, neurotransmitters injections generate, our knowledge, most detailed description Papilionoidea butterfly lobe. We then provide comparative, quantitative dataset shows that some cell populations expanded with higher rate than others Heliconius , providing anatomical parallel shifts behaviour. Finally, identified GABA-ergic feedback essential for non-elemental learning sparse coding, conservation neuron number. Taken together, results demonstrate mosaic functionally related systems types identify malleability architecturally guides adaptation cognitive ability.

Язык: Английский

Процитировано

1

Omega-3 polyunsaturated fatty acids in the brain and visual system: Focus on invertebrates DOI

Ekaterina Fock,

Parnova Rg

Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Год журнала: 2024, Номер 275, С. 111023 - 111023

Опубликована: Авг. 23, 2024

Язык: Английский

Процитировано

1

Mosaic evolution of a learning and memory circuit in Heliconiini butterflies DOI Creative Commons
Max S. Farnworth,

Theodora Loupasaki,

Antoine Couto

и другие.

Current Biology, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0

Using motion‐detection cameras to monitor foraging behaviour of individual butterflies DOI Creative Commons
Denise Dalbosco Dell’Aglio, W. Owen McMillan,

Stephen H. Montgomery

и другие.

Ecology and Evolution, Год журнала: 2024, Номер 14(7)

Опубликована: Июль 1, 2024

Abstract The activity of many animals follows recurrent patterns and foraging is one the most important processes in their daily activity. Determining movement search for resources understanding temporal spatial has therefore long been central behavioural ecology. However, identifying monitoring animal movements often challenging. In this study we assess use camera traps to track a very specific small‐scale interactions focused on behaviour Heliconiini butterflies. Data floral visitation was recorded using marked individuals three pollen‐feeding species Heliconius ( H. erato , melpomene sara ), two closely related, non‐pollen feeding Dryas iulia Dryadula phaetusa ) large outdoor insectary. We demonstrate that efficiently capture individual flower over multiple times locations our experiments describe some features patterns. butterflies showed higher morning with strong niche overlap. Differences between males females observed earlier than males, mirroring published field studies. Some flowers were more explored others, which may be explained by simultaneously affecting each other's choices. Feeding grouped short periods intense visits same flower, refer as bouts. also consistently while non‐ visited greater number per day bouts shorter compared . This consistent having stable long‐term memory preferences outgroup genera. More broadly, demonstrates can provide powerful tool gather information about small insects such © 2024 Authors. Ecology Evolution John Wiley & Sons Ltd.

Язык: Английский

Процитировано

0

Modality specific memory enhancement inHeliconiusbutterflies DOI Creative Commons

Elizabeth Hodge,

Amaia Alcalde Anton, Louise Bestea

и другие.

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

Опубликована: Сен. 15, 2024

Abstract How animals perceive, process and respond to environmental cues is tightly tuned the species-specific demands, reflected by structure of neural systems. In Neotropical butterflies, Heliconius , mushroom bodies, insect learning memory centres, are significantly expanded compared their closest relatives. This expansion coincided with evolution a novel diet, pollen feeding, spatial foraging behaviour consistent trap-lining. Previous research has shown that have more accurate visual long-term than other Heliconiini. Here, we tested whether this enhanced stability specific conducting olfactory assay in two species outgroup species. We found no differences between Combining data from trials confirms significant shift performance among sensory modalities genera. contrast, tests how Heliconiini prioritise when presented conflict also show attentiveness Our provide rare case where been across modalities, identify evidence modality shift.

Язык: Английский

Процитировано

0

A Comparative Study of Reinforcement Learning and Insect-Inspired Visual Navigation Methods DOI
Xiaoting Zhong, Xuelong Sun, Haiyang Li

и другие.

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 163 - 175

Опубликована: Дек. 12, 2024

Язык: Английский

Процитировано

0