Application of arachnid prey localisation theory for a robot sensorimotor controller. - Samantha V. Adams; Thomas Wennekers; Guido Bugmann; Sue L. Denham; Phil F. Culverhouse (Neurocomputing, 2011)

Adaptive training of cortical feature maps for a robot sensorimotor controller. - Samantha V. Adams; Thomas Wennekers; Sue L. Denham; Phil F. Culverhouse (Neural Networks, 2013)

Towards Real-World Neurorobotics: Integrated Neuromorphic Visual Attention. - Samantha V. Adams; Alexander D. Rast; Cameron Patterson; Francesco Galluppi; Kevin Brohan; José Antonio Pérez-Carrasco; Thomas Wennekers; Steve B. Furber; Angelo Cangelosi (ICONIP (3), 2014)

Transport-Independent Protocols for Universal AER Communications. - Alexander D. Rast; Alan B. Stokes; Sergio Davies; Samantha V. Adams; Himanshu Akolkar; David R. Lester; Chiara Bartolozzi; Angelo Cangelosi; Steve B. Furber (ICONIP (4), 2015)

Graceful Degradation Under Noise on Brain Inspired Robot Controllers. - Ricardo de Azambuja; Frederico B. Klein; Martin F. Stoelen; Samantha V. Adams; Angelo Cangelosi (ICONIP (1), 2016)

Diverse, noisy and parallel: a New Spiking Neural Network approach for humanoid robot control. - Ricardo de Azambuja; Angelo Cangelosi; Samantha V. Adams (IJCNN, 2016)

Social Development of Artificial Cognition. - Tony Belpaeme; Samantha V. Adams; Joachim de Greeff; Alessandro G. Di Nuovo; Anthony F. Morse; Angelo Cangelosi (Toward Robotic Socially Believable Behaving Systems (I), 2016)

Short-term plasticity in a liquid state machine biomimetic robot arm controller. - Ricardo de Azambuja; Frederico B. Klein; Samantha V. Adams; Martin F. Stoelen; Angelo Cangelosi (IJCNN, 2017)

Parallel IO in the LFRic Infrastructure. - Samantha V. Adams; Olga Abramkina; Yann Meurdesoif; Mike Rezny (PARCO, 2017)

Visual attention and object naming in humanoid robots using a bio-inspired spiking neural network. - Daniel Hernández García; Samantha V. Adams; Alexander D. Rast; Thomas Wennekers; Steve B. Furber; Angelo Cangelosi (Robotics Auton. Syst., 2018)

Behavioral Learning in a Cognitive Neuromorphic Robot: An Integrative Approach. - Alexander D. Rast; Samantha V. Adams; Simon Davidson; Sergio Davies; Michael Hopkins; Andrew Rowley; Alan Barry Stokes; Thomas Wennekers; Steve B. Furber; Angelo Cangelosi (IEEE Trans. Neural Networks Learn. Syst., 2018)

LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models. - Samantha V. Adams; Rupert W. Ford; M. Hambley; J. M. Hobson; I. Kavcic; Christopher M. Maynard; Thomas Melvin; Eike Hermann Müller; S. Mullerworth; Andrew R. Porter; Mike Rezny; Ben Shipway; et al. (J. Parallel Distributed Comput., 2019)

A review of radar-based nowcasting of precipitation and applicable machine learning techniques. - Rachel Prudden; Samantha V. Adams; Dmitry Kangin; Niall H. Robinson; Suman V. Ravuri; Shakir Mohamed; Alberto Arribas (CoRR, 2020)

Dynamic 3-D Visualization of Climate Model Development and Results. - Jeremy Walton; Samantha V. Adams; Wolfgang Hayek; Piotr Florek; Harold Dyson (IEEE Computer Graphics and Applications, 2021)