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Resources
EchoVPR: Echo State Networks for Visual Place Recognition
Recognising previously visited locations is an important, but unsolved, task in autonomous navigation. Current visual place recognition (VPR) ...
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Memory retention of conditioned aversion training in New Zealand's alpine parrot, the kea
Abstract New Zealand pest control operations commonly deploy toxic sodium fluoroacetate (1080) baits to control introduced mammalian predators...
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Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds
Synthetic biology and bioengineering provide the opportunity to create novel embodied cognitive systems (otherwise known as minds) in a very w...
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Preschool children’s use of meta‐talk to make rational collaborative decisions
In collaborative decision-making, partners compare reasons behind conflicting proposals through meta-talk. We investigated UK-based preschoole...
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The influence of CEO compensation on employee engagement
Abstract The soaring compensation levels of chief executive officers (CEOs) have spurred an intense debate about its outcomes. This paper exam...
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Leveraging artificial intelligence to improve people’s planning strategies
SignificanceMany bad decisions and their devastating consequences could be avoided if people used optimal decision strategies. Here, we introd...
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On keeping our adversaries close, preventing collateral damage, and changing our minds. Comment on Clark et al.
Comments on the original article by Clark et al. regarding adversarial collaborations to improve behavioral science.
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Investigating Markers of Rapport in Autistic and Nonautistic Interactions
Autism is considered to entail a social impairment whereby autistic people experience difficulty interpreting others' mental states. However, ...
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Multi-scale Chimerism: An experimental window on the algorithms of anatomical control
Despite the immense progress in genetics and cell biology, major knowledge gaps remain with respect to prediction and control of the global mo...
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Bayes and Darwin: How replicator populations implement Bayesian computations
Bayesian learning theory and evolutionary theory both formalize adaptive competition dynamics in possibly high-dimensional, varying, and noisy...
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