Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Andrew Philippides"'
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 8, p e1011913 (2024)
The central complex of insects contains cells, organised as a ring attractor, that encode head direction. The 'bump' of activity in the ring can be updated by idiothetic cues and external sensory information. Plasticity at the synapses between these
Externí odkaz:
https://doaj.org/article/17bf7a44a73440c090cc90f6db35ccae
Autor:
Oluwaseyi Oladipupo Jesusanmi, Amany Azevedo Amin, Norbert Domcsek, James C. Knight, Andrew Philippides, Thomas Nowotny, Paul Graham
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
Ants are capable of learning long visually guided foraging routes with limited neural resources. The visual scene memory needed for this behaviour is mediated by the mushroom bodies; an insect brain region important for learning and memory. In a visu
Externí odkaz:
https://doaj.org/article/2985a5a258b140cf9fa2fed9298e0a1e
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Dopamine neurons in the mushroom body help Drosophila learn to approach rewards and avoid punishments. Here, the authors propose a model in which dopaminergic learning signals encode reinforcement prediction errors by utilising feedback reinforcement
Externí odkaz:
https://doaj.org/article/6d7eb6015a0e4d44a0b649ab276dd08a
Autor:
Xiujuan Li, Narendra Padhan, Elisabet O. Sjöström, Francis P. Roche, Chiara Testini, Naoki Honkura, Miguel Sáinz-Jaspeado, Emma Gordon, Katie Bentley, Andrew Philippides, Vladimir Tolmachev, Elisabetta Dejana, Radu V. Stan, Dietmar Vestweber, Kurt Ballmer-Hofer, Christer Betsholtz, Kristian Pietras, Leif Jansson, Lena Claesson-Welsh
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-16 (2016)
Signals through VEGF receptor 2 (VEGFR2) increase vascular permeability, promoting cancer progression. Here the authors show that a point mutation in VEGFR2 preventing its auto-phosphorylation leads to reduced metastatic spread and improved response
Externí odkaz:
https://doaj.org/article/b507e4a16cf547ee96f8120a0c5f0330
Publikováno v:
Royal Society Open Science, Vol 5, Iss 7 (2018)
Research in crowd psychology has demonstrated key differences between the behaviour of physical crowds where members are in the same place at the same time, and the collective behaviour of psychological crowds where the entire crowd perceive themselv
Externí odkaz:
https://doaj.org/article/2cd816d904c3418eb71f6e9b16fa2a93
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 10, p e1005735 (2017)
All organisms wishing to survive and reproduce must be able to respond adaptively to a complex, changing world. Yet the computational power available is constrained by biology and evolution, favouring mechanisms that are parsimonious yet robust. Here
Externí odkaz:
https://doaj.org/article/2b21a75d99614ae1a98e3dc7ecd02c0f
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 10, p e1005137 (2016)
We propose a biologically plausible architecture for unsupervised ensemble learning in a population of spiking neural network classifiers. A mixture of experts type organisation is shown to be effective, with the individual classifier outputs combine
Externí odkaz:
https://doaj.org/article/1df95ddd9fbe43f3982ed41576f08527
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0122077 (2015)
Humans have long marveled at the ability of animals to navigate swiftly, accurately, and across long distances. Many mechanisms have been proposed for how animals acquire, store, and retrace learned routes, yet many of these hypotheses appear incongr
Externí odkaz:
https://doaj.org/article/af70e1a16c084c7194f8c2e3570e81d9
Publikováno v:
i-Perception, Vol 3 (2012)
The use of visual information for navigation appears to be a universal strategy for sighted animals, amongst which, one particular group of expert navigators are the ants. The broad interest in studies of ant navigation is in part due to their small
Externí odkaz:
https://doaj.org/article/2ddfc296025446cfada2fb64f143dd07
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 1, p e1002336 (2012)
In this paper we propose a model of visually guided route navigation in ants that captures the known properties of real behaviour whilst retaining mechanistic simplicity and thus biological plausibility. For an ant, the coupling of movement and viewi
Externí odkaz:
https://doaj.org/article/647a1ee0ed0c4909ba5cea4dab0f2f47