Memory and mental time travel in humans and social robots
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Neil D. Lawrence | Uriel Martinez-Hernandez | Tony J. Prescott | Daniel Camilleri | Andreas Damianou | Andreas C. Damianou | Neil D. Lawrence | A. Damianou | T. Prescott | Uriel Martinez-Hernandez | D. Camilleri
[1] Uriel Martinez-Hernandez,et al. Expressive touch: Control of robot emotional expression by touch , 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).
[2] Neil D. Lawrence,et al. A Top-Down Approach for a Synthetic Autobiographical Memory System , 2015, Living Machines.
[3] Astrid Paeschke,et al. A database of German emotional speech , 2005, INTERSPEECH.
[4] Peter Ford Dominey,et al. The Role of Autobiographical Memory in the Development of a Robot Self , 2017, Front. Neurorobot..
[5] D. Berntsen. Voluntary and involuntary access to autobiographical memory. , 1998, Memory.
[6] M. Donald. Understanding Autobiographical Memory: Evolutionary origins of autobiographical memory: a retrieval hypothesis , 2012 .
[7] Kerstin Dautenhahn,et al. Socially intelligent robots: dimensions of human–robot interaction , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.
[8] Tony J. Prescott,et al. Neuromorphic and Brain-Based Robots: Biomimetic robots as scientific models: a view from the whisker tip , 2011 .
[9] D Marr,et al. Simple memory: a theory for archicortex. , 1971, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[10] Marcel A. J. van Gerven,et al. Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream , 2014, The Journal of Neuroscience.
[11] E. Marg. A VISION OF THE BRAIN , 1994 .
[12] E. Balint. Memory and consciousness. , 1987, The International journal of psycho-analysis.
[13] Edmund T Rolls,et al. Convergence of sensory systems in the orbitofrontal cortex in primates and brain design for emotion. , 2004, The anatomical record. Part A, Discoveries in molecular, cellular, and evolutionary biology.
[14] Neil D. Lawrence,et al. iCub Visual Memory Inspector: Visualising the iCub's Thoughts , 2016, Living Machines.
[15] I. Fried,et al. Internally Generated Reactivation of Single Neurons in Human Hippocampus During Free Recall , 2008, Science.
[16] Neil D. Lawrence,et al. Manifold Relevance Determination , 2012, ICML.
[17] Neil D. Lawrence,et al. Hierarchical Gaussian process latent variable models , 2007, ICML '07.
[18] Praminda Caleb-Solly,et al. Robotics in Social Care: A Connected Care EcoSystem for Independent Living , 2017 .
[19] David C. Rubin,et al. Belief and recollection of autobiographical memories , 2003, Memory & cognition.
[20] Zheng Fang,et al. Comparison of different implementations of MFCC , 2001 .
[21] 张国亮,et al. Comparison of Different Implementations of MFCC , 2001 .
[22] David C. Rubin,et al. The Basic-Systems Model of Episodic Memory , 2006, Perspectives on psychological science : a journal of the Association for Psychological Science.
[23] Paul F. M. J. Verschure,et al. Distributed Adaptive Control: A theory of the Mind, Brain, Body Nexus , 2012, BICA 2012.
[24] Peter Ford Dominey,et al. DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self , 2017, IEEE Transactions on Cognitive and Developmental Systems.
[25] Tony J. Prescott,et al. The Synthetic Psychology of the Self , 2018, Intelligent Systems, Control and Automation: Science and Engineering.
[26] D. Rubin,et al. The spatiotemporal dynamics of autobiographical memory: neural correlates of recall, emotional intensity, and reliving. , 2008, Cerebral cortex.
[27] Brian Scassellati,et al. Socially assistive robotics [Grand Challenges of Robotics] , 2007, IEEE Robotics & Automation Magazine.
[28] Robyn Fivush,et al. Autobiographical Memory and the Construction of A Narrative Self : Developmental and Cultural Perspectives , 2003 .
[29] J. Tenenbaum,et al. Opinion TRENDS in Cognitive Sciences Vol.10 No.7 July 2006 Special Issue: Probabilistic models of cognition Theory-based Bayesian models of inductive learning and reasoning , 2022 .
[30] Christopher K. I. Williams,et al. From Neuron to Cognition via Computational > Neuroscience , 2016 .
[31] Bruce A. MacDonald,et al. The Role of Healthcare Robots for Older People at Home: A Review , 2014, Int. J. Soc. Robotics.
[32] Cynthia Breazeal,et al. An Embodied Cognition Approach to Mindreading Skills for Socially Intelligent Robots , 2009, Int. J. Robotics Res..
[33] Tony J. Prescott,et al. Action recognition with unsynchronised multi-sensory data , 2017, 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).
[34] Neil D. Lawrence,et al. Deep Gaussian Processes , 2012, AISTATS.
[35] Philip A. Kragel,et al. Dynamic neural networks supporting memory retrieval , 2011, NeuroImage.
[36] H. Eichenbaum,et al. Medial Entorhinal Cortex Selectively Supports Temporal Coding by Hippocampal Neurons , 2017, Neuron.
[37] M. Hasselmo. How We Remember: Brain Mechanisms of Episodic Memory , 2011 .
[38] Tobias Sommer,et al. The Role of the Human Entorhinal Cortex in a Representational Account of Memory , 2015, Front. Hum. Neurosci..
[39] Tony J. Prescott,et al. Embodied Models and Neurorobotics , 2016 .
[40] Christoph Kayser,et al. The Multisensory Nature of Unisensory Cortices: A Puzzle Continued , 2010, Neuron.
[41] Neil D. Lawrence,et al. An integrated probabilistic framework for robot perception, learning and memory , 2016, 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[42] Jessica B. Hamrick,et al. Simulation as an engine of physical scene understanding , 2013, Proceedings of the National Academy of Sciences.
[43] Neil D. Lawrence,et al. Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models , 2005, J. Mach. Learn. Res..
[44] Dharshan Kumaran,et al. Strong Evidence for Pattern Separation in Human Dentate Gyrus , 2016, The Journal of Neuroscience.
[45] T. Bonhoeffer,et al. Grid cells and cortical representation , 2014, Nature Reviews Neuroscience.
[46] D. Rubin,et al. Experimental manipulations of the phenomenology of memory , 2003, Memory & cognition.
[47] D. Dennett. Producing future by telling stories , 1996 .
[48] Abigail Sellen,et al. Do life-logging technologies support memory for the past?: an experimental study using sensecam , 2007, CHI.
[49] Tony Belpaeme,et al. A review of long-term memory in natural and synthetic systems , 2012, Adapt. Behav..
[50] Giorgio Metta,et al. iCub-HRI: A Software Framework for Complex Human–Robot Interaction Scenarios on the iCub Humanoid Robot , 2018, Front. Robot. AI.
[51] David C. Rubin,et al. The Role of Narrative in Recollection: A View from Cognitive Psychology and Neuropsychology , 2012 .
[52] Neil D. Lawrence,et al. Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes , 2016, J. Mach. Learn. Res..
[53] Tony J. Prescott,et al. A Living Machines approach to the sciences of mind and brain , 2018, Oxford Scholarship Online.
[54] Yoko Yamaguchi,et al. A theory of hippocampal memory based on theta phase precession , 2003, Biological Cybernetics.
[55] Zachariah M. Reagh,et al. Object and spatial mnemonic interference differentially engage lateral and medial entorhinal cortex in humans , 2014, Proceedings of the National Academy of Sciences.
[56] Denis Perrin,et al. Memory as mental time travel , 2017 .
[57] Asohan Amarasingham,et al. Internally Generated Cell Assembly Sequences in the Rat Hippocampus , 2008, Science.
[58] D. Rubin,et al. Visual memory loss and autobiographical amnesia: a case study , 2005, Neuropsychologia.
[59] Brian Scassellati,et al. The Grand Challenges in Socially Assistive Robotics , 2007 .
[60] Stephen A. Ritz,et al. Distinctive features, categorical perception, and probability learning: some applications of a neural model , 1977 .
[61] Neil D. Lawrence,et al. Bayesian Gaussian Process Latent Variable Model , 2010, AISTATS.
[62] Alessandro Roncone,et al. Peripersonal Space and Margin of Safety around the Body: Learning Visuo-Tactile Associations in a Humanoid Robot with Artificial Skin , 2016, PloS one.
[63] Giorgio Metta,et al. Robotic Homunculus: Learning of Artificial Skin Representation in a Humanoid Robot Motivated by Primary Somatosensory Cortex , 2018, IEEE Transactions on Cognitive and Developmental Systems.
[64] A. Ghazanfar,et al. Is neocortex essentially multisensory? , 2006, Trends in Cognitive Sciences.
[65] H. Eichenbaum. Time cells in the hippocampus: a new dimension for mapping memories , 2014, Nature Reviews Neuroscience.
[66] Aurélien Garivier,et al. On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models , 2014, J. Mach. Learn. Res..
[67] David C. Rubin,et al. The role of narrative in recollection: A view from cognitive and neuropsychology. , 2003 .
[68] R. N. Spreng,et al. The Future of Memory: Remembering, Imagining, and the Brain , 2012, Neuron.
[69] Silvio Savarese,et al. Watch-n-Patch: Unsupervised Learning of Actions and Relations , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[70] David C. Rubin,et al. The basic systems model of autobiographical memory , 2012 .
[71] G. Kane. Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models , 1994 .
[72] Tony J. Prescott,et al. Hippocampus as unitary coherent particle filter , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[73] Adrian Rubio Solis,et al. Bayesian perception of touch for control of robot emotion , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).
[74] Paul F. M. J. Verschure,et al. The why, what, where, when and how of goal-directed choice: neuronal and computational principles , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.