Literature DB >> 22157081

Stop signals provide cross inhibition in collective decision-making by honeybee swarms.

Thomas D Seeley1, P Kirk Visscher, Thomas Schlegel, Patrick M Hogan, Nigel R Franks, James A R Marshall.   

Abstract

Honeybee swarms and complex brains show many parallels in how they make decisions. In both, separate populations of units (bees or neurons) integrate noisy evidence for alternatives, and, when one population exceeds a threshold, the alternative it represents is chosen. We show that a key feature of a brain--cross inhibition between the evidence-accumulating populations--also exists in a swarm as it chooses its nesting site. Nest-site scouts send inhibitory stop signals to other scouts producing waggle dances, causing them to cease dancing, and each scout targets scouts' reporting sites other than her own. An analytic model shows that cross inhibition between populations of scout bees increases the reliability of swarm decision-making by solving the problem of deadlock over equal sites.

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Year:  2011        PMID: 22157081     DOI: 10.1126/science.1210361

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  76 in total

1.  Negative feedback from maternal signals reduces false alarms by collectively signalling offspring.

Authors:  Jennifer A Hamel; Reginald B Cocroft
Journal:  Proc Biol Sci       Date:  2012-07-11       Impact factor: 5.349

2.  Irrational time allocation in decision-making.

Authors:  Bastiaan Oud; Ian Krajbich; Kevin Miller; Jin Hyun Cheong; Matthew Botvinick; Ernst Fehr
Journal:  Proc Biol Sci       Date:  2016-01-13       Impact factor: 5.349

3.  Synthetic consciousness: the distributed adaptive control perspective.

Authors:  Paul F M J Verschure
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-08-19       Impact factor: 6.237

4.  Ants adjust their pheromone deposition to a changing environment and their probability of making errors.

Authors:  Tomer J Czaczkes; Jürgen Heinze
Journal:  Proc Biol Sci       Date:  2015-07-07       Impact factor: 5.349

5.  Divide et impera: subgoaling reduces the complexity of probabilistic inference and problem solving.

Authors:  Domenico Maisto; Francesco Donnarumma; Giovanni Pezzulo
Journal:  J R Soc Interface       Date:  2015-03-06       Impact factor: 4.118

6.  Obstacle avoidance in social groups: new insights from asynchronous models.

Authors:  Simon Croft; Richard Budgey; Jonathan W Pitchford; A Jamie Wood
Journal:  J R Soc Interface       Date:  2015-05-06       Impact factor: 4.118

7.  The computational stance in biology.

Authors:  C C Wood
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-10       Impact factor: 6.237

8.  Symmetry breaking and inter-clonal behavioural variability in a slime mould.

Authors:  David Vogel; Audrey Dussutour; Jean-Louis Deneubourg
Journal:  Biol Lett       Date:  2018-12-21       Impact factor: 3.703

9.  Noise-induced effects in collective dynamics and inferring local interactions from data.

Authors:  Jitesh Jhawar; Vishwesha Guttal
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-07-27       Impact factor: 6.237

Review 10.  Neuroethology of decision-making.

Authors:  Geoffrey K Adams; Karli K Watson; John Pearson; Michael L Platt
Journal:  Curr Opin Neurobiol       Date:  2012-08-16       Impact factor: 6.627

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