Neural Information Processing in Cognition: We Start to Understand the Orchestra, but Where is the Conductor?
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[1] D. Kahneman. Thinking, Fast and Slow , 2011 .
[2] G. Palm. Novelty, Information and Surprise , 2012, Information Science and Statistics.
[3] Christof Koch,et al. A test for consciousness. , 2011, Scientific American.
[4] John E. Laird,et al. The Soar Cognitive Architecture , 2012 .
[5] Terrence J. Sejnowski,et al. The Computational Brain , 1996, Artif. Intell..
[6] M. Tsodyks,et al. Working models of working memory , 2014, Current Opinion in Neurobiology.
[7] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[8] Benjamin Naumann. The Architecture Of Cognition , 2016 .
[9] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Richard Reviewer-Granger. Unified Theories of Cognition , 1991, Journal of Cognitive Neuroscience.
[11] John R. Anderson. How Can the Human Mind Occur in the Physical Universe , 2007 .
[12] Charan Ranganath,et al. Doubts about Double Dissociations between Short-and Long-term Memory , 2022 .
[13] Shaojuan Zhu,et al. Simulation of associative neural networks , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..
[14] Tara N. Sainath,et al. Deep Neural Networks for Acoustic Modeling in Speech Recognition , 2012 .
[15] W. Gerstner,et al. Synaptic Consolidation: From Synapses to Behavioral Modeling , 2015, The Journal of Neuroscience.
[16] M. Kiefer,et al. Flexible establishment of functional brain networks supports attentional modulation of unconscious cognition , 2014, Human brain mapping.
[17] Friedhelm Schwenker,et al. Pattern classification and clustering: A review of partially supervised learning approaches , 2014, Pattern Recognit. Lett..
[18] M. Tomasello,et al. Does the chimpanzee have a theory of mind? 30 years later , 2008, Trends in Cognitive Sciences.
[19] Christof Koch,et al. A Test for Consciousness How will we know when we ’ ve built a sentient computer ? By making it solve a simple puzzle , 2011 .
[20] A. Baddeley,et al. Working memory and executive control. , 1996, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[21] G Tononi,et al. Integrated information theory of consciousness: an updated account. , 2012, Archives italiennes de biologie.
[22] Günther Palm,et al. Modelling of syntactical processing in the cortex , 2007, Biosyst..
[23] G. Bi,et al. Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type , 1998, The Journal of Neuroscience.
[24] F. Pulvermüller,et al. Motor cognition–motor semantics: Action perception theory of cognition and communication , 2014, Neuropsychologia.
[25] A. Baddeley. Working Memory, Thought, and Action , 2007 .
[26] Gustavo Deco,et al. Predictive Coding in the Visual Cortex by a Recurrent Network with Gabor Receptive Fields , 2001, Neural Processing Letters.
[27] Richard P. Cooper,et al. Modelling high-level cognitive processes , 2002 .
[28] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[29] Peter Dayan,et al. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems , 2001 .
[30] N. McGlynn. Thinking fast and slow. , 2014, Australian veterinary journal.
[31] M. Arbib. Action to language via the mirror neuron system , 2006 .
[32] J. Barry Richmond,et al. Neural Coding , 2014, Encyclopedia of Computational Neuroscience.
[33] Ulrich Rückert,et al. Mixed Mode VLSI Implementation of a Neural Associative Memory , 1999 .
[34] Henry Markram,et al. Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations , 2002, Neural Computation.
[35] Michael A. Arbib,et al. The handbook of brain theory and neural networks , 1995, A Bradford book.
[36] Geoffrey E. Hinton,et al. Acoustic Modeling Using Deep Belief Networks , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[37] A. Borst. Seeing smells: imaging olfactory learning in bees , 1999, Nature Neuroscience.
[38] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[39] T. Poggio,et al. Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.
[40] B. Sakmann,et al. Active propagation of somatic action potentials into neocortical pyramidal cell dendrites , 1994, Nature.
[41] H. Markram,et al. Dendritic calcium transients evoked by single back‐propagating action potentials in rat neocortical pyramidal neurons. , 1995, The Journal of physiology.
[42] B. Baars,et al. Cognition, Brain, and Consciousness: Introduction to Cognitive Neuroscience , 2007 .
[43] James G. King,et al. Reconstruction and Simulation of Neocortical Microcircuitry , 2015, Cell.
[44] R. Douglas,et al. A silicon neuron , 1991, Nature.
[45] J. Cacioppo,et al. Brain imaging and cognitive neuroscience. Toward strong inference in attributing function to structure. , 1996, The American psychologist.
[46] J. Ludden,et al. Principles and Practice , 1998, Community-based Learning and Social Movements.
[47] Chen Yu,et al. A multimodal learning interface for grounding spoken language in sensory perceptions , 2003, ICMI '03.
[48] Günther Palm,et al. Cell assemblies in the cerebral cortex , 2014, Biological Cybernetics.
[49] F. H. Adler. Cybernetics, or Control and Communication in the Animal and the Machine. , 1949 .
[50] Moshe Abeles. Cell assemblies , 2011, Scholarpedia.
[51] Sonja Grün,et al. Analysis of Parallel Spike Trains , 2010 .
[52] G. Rees. The new phrenology: the limits of localizing cognitive processes in the brain , 2002 .
[53] Günther Palm,et al. Parallel processing for associative and neuronal networks , 1984, Biological Cybernetics.
[54] J. Fodor. Modularity of mind , 1983 .
[55] Michael I. Jordan,et al. The Handbook of Brain Theory and Neural Networks , 2002 .
[56] W. Singer,et al. Temporal binding and the neural correlates of sensory awareness , 2001, Trends in Cognitive Sciences.
[57] A. Krikelis,et al. Associative processing and processors , 1994, Computer.
[58] Günther Palm,et al. Neural associative memories and sparse coding , 2013, Neural Networks.
[59] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[60] R. Yuste,et al. The Brain Activity Map Project and the Challenge of Functional Connectomics , 2012, Neuron.
[61] D. Hubel,et al. Plasticity of ocular dominance columns in monkey striate cortex. , 1977, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[62] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[63] Bernard J. Baars,et al. Cognition, brain, and consciousness , 2007 .
[64] Harald Haas,et al. Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication , 2004, Science.
[65] N. Spruston,et al. Action potential initiation and backpropagation in neurons of the mammalian CNS , 1997, Trends in Neurosciences.
[66] M. Kiefer,et al. Conceptual representations in mind and brain: Theoretical developments, current evidence and future directions , 2012, Cortex.
[67] H. Markram,et al. Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs , 1997, Science.
[68] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[69] Andrew S. Cassidy,et al. A million spiking-neuron integrated circuit with a scalable communication network and interface , 2014, Science.
[70] Philipp Koehn,et al. Cognitive Psychology , 1992, Ageing and Society.
[71] Günther Palm,et al. Neural associative memories for the integration of language, vision and action in an autonomous agent , 2009, Neural Networks.
[72] D. Premack,et al. Does the chimpanzee have a theory of mind? , 1978, Behavioral and Brain Sciences.
[73] John R. Anderson,et al. Human Symbol Manipulation Within an Integrated Cognitive Architecture , 2005, Cogn. Sci..
[74] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[75] Pieter R Roelfsema,et al. Subtask sequencing in the primary visual cortex , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[76] Rajesh P. N. Rao,et al. Bayesian brain : probabilistic approaches to neural coding , 2006 .
[77] D.W. Halpin,et al. Lean construction and simulation , 2002, Proceedings of the Winter Simulation Conference.
[78] Simon Farrell,et al. Computational Modeling in Cognition: Principles and Practice , 2010 .
[79] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[80] Rajesh P. N. Rao,et al. Probabilistic Models of the Brain: Perception and Neural Function , 2002 .
[81] Michael X. Cohen,et al. Inferior Temporal, Prefrontal, and Hippocampal Contributions to Visual Working Memory Maintenance and Associative Memory Retrieval , 2004, The Journal of Neuroscience.
[82] Xiaojin Zhu,et al. Semi-Supervised Learning , 2010, Encyclopedia of Machine Learning.
[83] Carver Mead,et al. Analog VLSI and neural systems , 1989 .