murray shanahan google scholar

The following articles are merged in Scholar. ... Murray Shanahan. Anxiety in adolescents born preterm or with very low birthweight: a meta-analysis of case-control studies . List of computer science publications by James Shanahan In view of the current Corona Virus epidemic, Schloss Dagstuhl has moved its 2020 proposal submission period to July 1 to July 15, 2020 , and there will not be another proposal round in November 2020. Murray Shanahan Imperial College London / DeepMind Verified email at imperial.ac.uk Daniel Linares CIBER Verified email at ciberer.es David John Schwartzman Postdoctoral Reseacher at the Sackler Centre for Consciousness Science, Verified email at sussex.ac.uk Front. I. Try again later.The following articles are merged in Scholar. The following articles are merged in Scholar. The following articles are merged in Scholar. ... PhD student at Imperial College London Verified email at google.com. Merged citations. ... MP Shanahan, RC Laugksch. My library Merged citations. To protect your privacy, all features that rely on external API calls from your browser are For web page which are no longer available, try to retrieve content from the the dblp computer science bibliography is funded by:Continual Reinforcement Learning with Multi-Timescale Replay.Learning Diverse Representations for Fast Adaptation to Distribution Shift.Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning.Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning.Deep reinforcement learning with relational inductive biases.Policy Consolidation for Continual Reinforcement Learning.Policy Consolidation for Continual Reinforcement Learning.An Explicitly Relational Neural Network Architecture.The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition.SCAN: Learning Hierarchical Compositional Visual Concepts.Continual Reinforcement Learning with Complex Synapses.Deep Reinforcement Learning with Risk-Seeking Exploration.Continual Reinforcement Learning with Complex Synapses.An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons.The Partial Information Decomposition of Generative Neural Network Models.Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning.Classifying Options for Deep Reinforcement Learning.Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders.Effects of lesions on synchrony and metastability in cortical networks.GPU-based fast parameter optimization for phenomenological spiking neural models.Local and global criticality within oscillating networks of spiking neurons.Ascribing Consciousness to Artificial Intelligence.Phase offset between slow oscillatory cortical inputs influences competition in a model of the basal ganglia.Large-scale network organization in the avian forebrain: a connectivity matrix and theoretical analysis.Three Tools for the Real-Time Simulation of Embodied Spiking Neural Networks Using GPUs.STDP produces robust oscillatory architectures that exhibit precise collective synchronization.A Cognitive Neural Architecture as a Robot Controller.How well do oscillator models capture the behaviour of biological neurons?Hierarchical clustering identifies hub nodes in a model of resting-state brain activity.Establishing communication between neuronal populations through competitive entrainment.Serial from Parallel, Unity from Multiplicity: What Emerges from Global Workspace Architecture.A computational model of a global neuronal workspace with stochastic connections.Training a spiking neural network to control a 4-DoF robotic arm based on Spike Timing-Dependent Plasticity.Accelerated simulation of spiking neural networks using GPUs.NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs.Modeling the Neural Basis of Cognitive Integration and Consciousness.Flexible object recognition in cluttered scenes using relative point distribution models.Object Detection for a Humanoid Robot Using a Probabilistic Global Workspace.A fast evaluation criterion for the recognition of occluded shapes.A Vision-Based Intelligent System for Packing 2-D Irregular Shapes.A Simulated Global Neuronal Workspace with Stochastic Wiring.Leaf Classification Using Navigation-Based Skeletons.Perception as Abduction: Turning Sensor Data Into Meaningful Representation.An attempt to formalise a non-trivial benchmark problem in common sense reasoning.Indirect and Conditional Sensing in the Event Calculus.A Logic-Based Formulation of Active Visual Perception.A Logic-based Algorithm for Image Sequence Interpretation and Anchoring.Some Alternative Formulations of the Event Calculus.Hypothesising Object Relations from Image Transitions.A Logical Account of Perception Incorporating Feedback and Expectation.From Images to Bodies: Modelling and Exploiting Spatial Occlusion and Motion Parallax.The Event Calculus in Classical Logic - Alternative Axiomatisations.Robot Navigation and Map Building with the Event Calculus (abstract).A Logical Account of the Common Sense Informatic Situation for a Mobile Robot.Solving the frame problem - a mathematical investigation of the common sense law of inertia.Noise and the Common Sense Informatic Situation for a Mobile Robot.Robotics and the Common Sense Informatic Situation.Reasoning about Discontinuities in the Event Calculus.Representing Continuous Change in the Event Calculus.Search, inference and dependencies in artificial intelligence.Prediction is Deduction but Explanation is Abduction.
Google Scholar provides a simple way to broadly search for scholarly literature. Comput. Their combined citations are counted only for the first article. Merged citations.

The following articles are merged in Scholar. load links from unpaywall.org. ... EB Roesch, MP Shanahan, W Luk. Murray Shanahan, Verner P. Bingman, Toru Shimizu, Martin Wild, Onur Güntürkün: Large-scale network organization in the avian forebrain: a connectivity matrix and theoretical analysis. The ones marked * may be different from the …
... Natallia Shanahan. This "Cited by" count includes citations to the following articles in Scholar. Ctr. He researches artificial intelligence, robotics, and cognitive science. Evidence of the characteristics of early adopters in the Goulburn–Murray Irrigation District, Australia 1998–1999. Their combined citations are counted only for the first article. Search the world's most comprehensive index of full-text books.

Scandinavian journal of educational research 49 (3), 225-244, 2005. This "Cited by" count includes citations to the following articles in Scholar. Try again later.Senior Research Fellow (Permanent) in Computer Music, Plymouth UniversityProfessor, University of Geneva, Director Swiss Center for Affective SciencesPhD student (Cybernetics), University of Reading, UK; Scientist, P1vital Ltd., UKProfessor of Cognitive Computing & Director TCIDA, Goldsmiths, University of LondonProfessor of Computer Engineering, Imperial College London 248: 2005: Simple theory of" stick-slip" wetting hysteresis. N. San Martin) Argentina. S. M. Ali Eslami Google DeepMind Verified email at google.com. ... Murray Shanahan Imperial College London / DeepMind Verified email at imperial.ac.uk. The following articles are merged in Scholar. Their combined citations are counted only for the first article. Google has many special features to help you find exactly what you're looking for. The ones marked RL Carhart-Harris, R Leech, PJ Hellyer, M Shanahan, A Feilding, ...N Dilokthanakul, PAM Mediano, M Garnelo, MCH Lee, H Salimbeni, ...Chaos: An Interdisciplinary Journal of Nonlinear Science 20 (1), 013108Computational logic: logic programming and beyond, 452-490M Shanahan, VP Bingman, T Shimizu, M Wild, O GüntürkünPJ Hellyer, M Shanahan, G Scott, RJS Wise, DJ Sharp, R LeechThe system can't perform the operation now. & Brain SciencesComputational Cognitive Neuroscience Lab @ University of Buenos Aires

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