Phil Husbands
Overview
Explore the profile of Phil Husbands including associated specialties, affiliations and a list of published articles.
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Snapshot
Articles
23
Citations
144
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0
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Recent Articles
1.
Varna F, Husbands P
Biomimetics (Basel)
. 2024 Sep;
9(9).
PMID: 39329560
This paper presents two novel bio-inspired particle swarm optimisation (PSO) variants, namely biased eavesdropping PSO (BEPSO) and altruistic heterogeneous PSO (AHPSO). These algorithms are inspired by types of group behaviour...
2.
Santos B, Gomes R, Barandiaran X, Husbands P
Neural Comput
. 2022 Jan;
34(3):686-715.
PMID: 35016225
A growing body of work has demonstrated the importance of ongoing oscillatory neural activity in sensory processing and the generation of sensorimotor behaviors. It has been shown, for several different...
3.
Garvie M, Flascher I, Philippides A, Thompson A, Husbands P
Evol Comput
. 2020 May;
28(4):677-708.
PMID: 32357077
For the first time, a field programmable transistor array (FPTA) was used to evolve robot control circuits directly in analog hardware. Controllers were successfully incrementally evolved for a physical robot...
4.
Roberts T, Kern F, Fernando C, Szathmary E, Husbands P, Philippides A, et al.
Sci Rep
. 2019 Dec;
9(1):19036.
PMID: 31836825
Discriminating, extracting and encoding temporal regularities is a critical requirement in the brain, relevant to sensory-motor processing and learning. However, the cellular mechanisms responsible remain enigmatic; for example, whether such...
5.
Shim Y, Husbands P
Chaos
. 2019 Apr;
29(3):033123.
PMID: 30927830
In this paper, we present detailed analyses of the dynamics of a number of embodied neuromechanical systems of a class that has been shown to efficiently exploit chaos in the...
6.
Shim Y, Philippides A, Staras K, Husbands P
PLoS Comput Biol
. 2016 Oct;
12(10):e1005137.
PMID: 27760125
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...
7.
Moioli R, Husbands P
Neural Comput
. 2013 Jul;
25(11):2934-75.
PMID: 23895050
The dynamic formation of groups of neurons--neuronal assemblies--is believed to mediate cognitive phenomena at many levels, but their detailed operation and mechanisms of interaction are still to be uncovered. One...
8.
McGregor S, Vasas V, Husbands P, Fernando C
PLoS Comput Biol
. 2012 Nov;
8(11):e1002739.
PMID: 23133353
Organisms that can learn about their environment and modify their behaviour appropriately during their lifetime are more likely to survive and reproduce than organisms that do not. While associative learning...
9.
Moioli R, Vargas P, Husbands P
Biol Cybern
. 2012 Jul;
106(6-7):407-27.
PMID: 22810898
Oscillatory activity is ubiquitous in nervous systems, with solid evidence that synchronisation mechanisms underpin cognitive processes. Nevertheless, its informational content and relationship with behaviour are still to be fully understood....
10.
Fernando C, Szathmary E, Husbands P
Front Comput Neurosci
. 2012 May;
6:24.
PMID: 22557963
We consider approaches to brain dynamics and function that have been claimed to be Darwinian. These include Edelman's theory of neuronal group selection, Changeux's theory of synaptic selection and selective...