Deep temporal models and active inference
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[1] David Janssen,et al. Cerebral responses to local and global auditory novelty under general anesthesia , 2016, NeuroImage.
[2] J. Mattingley,et al. A hierarchy of timescales explains distinct effects of local inhibition of primary visual cortex and frontal eye fields , 2016, eLife.
[3] Karl J. Friston,et al. Neuroscience and Biobehavioral Reviews , 2022 .
[4] Alberto Testolin,et al. Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions , 2016, Front. Comput. Neurosci..
[5] Karl J. Friston,et al. The Functional Anatomy of Time: What and When in the Brain , 2016, Trends in Cognitive Sciences.
[6] Karl J. Friston,et al. Scene Construction, Visual Foraging, and Active Inference , 2016, Front. Comput. Neurosci..
[7] J. Rothwell,et al. A fronto–striato–subthalamic–pallidal network for goal-directed and habitual inhibition , 2015, Nature Reviews Neuroscience.
[8] Karl J. Friston,et al. Evidence for surprise minimization over value maximization in choice behavior , 2015, Scientific Reports.
[9] Raymond J. Dolan,et al. Dopamine, reward learning, and active inference , 2015, Front. Comput. Neurosci..
[10] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[11] Michael F. Green,et al. Validation of mismatch negativity and P3a for use in multi-site studies of schizophrenia: Characterization of demographic, clinical, cognitive, and functional correlates in COGS-2 , 2015, Schizophrenia Research.
[12] S. Dehaene,et al. Disruption of hierarchical predictive coding during sleep , 2015, Proceedings of the National Academy of Sciences.
[13] Karl J. Friston,et al. Active inference and epistemic value , 2015, Cognitive neuroscience.
[14] Raymond J. Dolan,et al. Precision and neuronal dynamics in the human posterior parietal cortex during evidence accumulation , 2015, NeuroImage.
[15] Raymond J. Dolan,et al. Active Inference, Evidence Accumulation, and the Urn Task , 2015, Neural Computation.
[16] Karl J. Friston,et al. Optimal inference with suboptimal models: Addiction and active Bayesian inference , 2015, Medical hypotheses.
[17] Karl J. Friston,et al. The Dopaminergic Midbrain Encodes the Expected Certainty about Desired Outcomes , 2014, Cerebral cortex.
[18] Raymond J. Dolan,et al. The anatomy of choice: dopamine and decision-making , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.
[19] David J. Freedman,et al. A hierarchy of intrinsic timescales across primate cortex , 2014, Nature Neuroscience.
[20] Shintaro Funahashi,et al. Saccade-related activity in the prefrontal cortex: its role in eye movement control and cognitive functions , 2014, Front. Integr. Neurosci..
[21] Raymond J. Dolan,et al. Model averaging, optimal inference, and habit formation , 2014, Front. Hum. Neurosci..
[22] Karl J. Friston,et al. A formal model of interpersonal inference , 2014, Front. Hum. Neurosci..
[23] Xiao-Jing Wang,et al. Computational Psychiatry , 2014, Neuron.
[24] Dominique Morlet,et al. MMN and Novelty P3 in Coma and Other Altered States of Consciousness: A Review , 2013, Brain Topography.
[25] Henry Kennedy,et al. Cortical High-Density Counterstream Architectures , 2013, Science.
[26] Miles A. Whittington,et al. Top-Down Beta Rhythms Support Selective Attention via Interlaminar Interaction: A Model , 2013, PLoS Comput. Biol..
[27] Joshua B. Tenenbaum,et al. Learning with Hierarchical-Deep Models , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Alberto Testolin,et al. Modeling language and cognition with deep unsupervised learning: a tutorial overview , 2013, Front. Psychol..
[29] Daniel A. Braun,et al. Thermodynamics as a theory of decision-making with information-processing costs , 2012, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[30] Anne G E Collins,et al. Cognitive control over learning: creating, clustering, and generalizing task-set structure. , 2013, Psychological review.
[31] Omar J. Ahmed,et al. Thalamic Control of Layer 1 Circuits in Prefrontal Cortex , 2012, The Journal of Neuroscience.
[32] Karl J. Friston,et al. Canonical Microcircuits for Predictive Coding , 2012, Neuron.
[33] Karl J. Friston,et al. What is value—accumulated reward or evidence? , 2012, Front. Neurorobot..
[34] Karl J. Friston,et al. Active inference and agency: optimal control without cost functions , 2012, Biological Cybernetics.
[35] M. Botvinick,et al. Planning as inference , 2012, Trends in Cognitive Sciences.
[36] H. B. Barlow,et al. Possible Principles Underlying the Transformations of Sensory Messages , 2012 .
[37] Karl J. Friston,et al. Computational psychiatry , 2012, Trends in Cognitive Sciences.
[38] Vicenç Gómez,et al. Optimal control as a graphical model inference problem , 2009, Machine Learning.
[39] Doina Precup,et al. An information-theoretic approach to curiosity-driven reinforcement learning , 2012, Theory in Biosciences.
[40] Stefan Schaal,et al. Path integral control and bounded rationality , 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).
[41] Asohan Amarasingham,et al. Hippocampus Internally Generated Cell Assembly Sequences in the Rat , 2011 .
[42] Hilbert J. Kappen,et al. Risk Sensitive Path Integral Control , 2010, UAI.
[43] Y. Niv,et al. Learning latent structure: carving nature at its joints , 2010, Current Opinion in Neurobiology.
[44] Marcello Ferro,et al. Neurorobotics Original Research Article , 2022 .
[45] Dileep George,et al. Towards a Mathematical Theory of Cortical Micro-circuits , 2009, PLoS Comput. Biol..
[46] K. Deisseroth,et al. Parvalbumin neurons and gamma rhythms enhance cortical circuit performance , 2009, Nature.
[47] Karl J. Friston,et al. Frontiers in Neuroinformatics , 2022 .
[48] Pierre Baldi,et al. Bayesian surprise attracts human attention , 2005, Vision Research.
[49] Karl J. Friston,et al. A Hierarchy of Time-Scales and the Brain , 2008, PLoS Comput. Biol..
[50] Asohan Amarasingham,et al. Internally Generated Cell Assembly Sequences in the Rat Hippocampus , 2008, Science.
[51] D. Heeger,et al. A Hierarchy of Temporal Receptive Windows in Human Cortex , 2008, The Journal of Neuroscience.
[52] H. Haken,et al. Intentionality in non-equilibrium systems? The functional aspects of self-organized pattern formation , 2007 .
[53] Wolfgang Maass,et al. Cerebral Cortex Advance Access published February 15, 2006 A Statistical Analysis of Information- Processing Properties of Lamina-Specific , 2022 .
[54] B. Wyble,et al. The simultaneous type, serial token model of temporal attention and working memory. , 2007, Psychological review.
[55] Mark Johnson,et al. Nonparametric bayesian models of lexical acquisition , 2007 .
[56] M. Sigman,et al. Functional organization of perisylvian activation during presentation of sentences in preverbal infants , 2006, Proceedings of the National Academy of Sciences.
[57] Matthew M Botvinick,et al. Short-term memory for serial order: a recurrent neural network model. , 2006, Psychological review.
[58] Sarah J. White,et al. Raeding Wrods With Jubmled Lettres , 2006, Psychological science.
[59] Chrystopher L. Nehaniv,et al. Empowerment: a universal agent-centric measure of control , 2005, 2005 IEEE Congress on Evolutionary Computation.
[60] D. Umbricht,et al. Mismatch negativity in schizophrenia: a meta-analysis , 2005, Schizophrenia Research.
[61] John Field,et al. Language and the mind , 1968 .
[62] Michael J. Frank,et al. Dynamic Dopamine Modulation in the Basal Ganglia: A Neurocomputational Account of Cognitive Deficits in Medicated and Nonmedicated Parkinsonism , 2005, Journal of Cognitive Neuroscience.
[63] K. Rayner. Eye movements in reading: Models and data , 2003, Behavioral and Brain Sciences.
[64] Steven F. Kalik,et al. Analysis of perisaccadic field potentials in the occipitotemporal pathway during active vision. , 2003, Journal of neurophysiology.
[65] A. Thomson,et al. Interlaminar connections in the neocortex. , 2003, Cerebral cortex.
[66] Matthew J. Beal. Variational algorithms for approximate Bayesian inference , 2003 .
[67] S. Pinker,et al. The past and future of the past tense , 2002, Trends in Cognitive Sciences.
[68] Kevin P. Murphy,et al. Dynamic Bayesian Networks for Audio-Visual Speech Recognition , 2002, EURASIP J. Adv. Signal Process..
[69] S. Laughlin. Efficiency and complexity in neural coding. , 2008, Novartis Foundation symposium.
[70] Dominique Morlet,et al. Mismatch Negativity and N100 in Comatose Patients , 2000, Audiology and Neurotology.
[71] G D Brown,et al. Oscillator-based memory for serial order. , 2000, Psychological review.
[72] N. Burgess,et al. Memory for serial order: A network model of the phonological loop and its timing , 1999 .
[73] D. Norris,et al. The primacy model: a new model of immediate serial recall. , 1998, Psychological review.
[74] R. Henson. Short-Term Memory for Serial Order: The Start-End Model , 1998, Cognitive Psychology.
[75] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[76] Geoffrey E. Hinton,et al. The Helmholtz Machine , 1995, Neural Computation.
[77] David J. C. MacKay,et al. A hierarchical Dirichlet language model , 1995, Natural Language Engineering.
[78] Jürgen Schmidhuber,et al. Curious model-building control systems , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.
[79] F. D. Silva. Neural mechanisms underlying brain waves: from neural membranes to networks. , 1991 .
[80] F. H. Lopes da Silva. Neural mechanisms underlying brain waves: from neural membranes to networks. , 1991, Electroencephalography and clinical neurophysiology.
[81] D. J. Felleman,et al. Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.
[82] R Linsker,et al. Perceptual neural organization: some approaches based on network models and information theory. , 1990, Annual review of neuroscience.
[83] E. Donchin,et al. Is the P300 component a manifestation of context updating? , 1988, Behavioral and Brain Sciences.
[84] J. Fodor,et al. Connectionism and cognitive architecture: A critical analysis , 1988, Cognition.
[85] N. Kanwisher. Repetition blindness: Type recognition without token individuation , 1987, Cognition.
[86] K. Kubota,et al. The organization of prefrontocaudate projections and their laminar origin in the macaque monkey: A retrograde study using HRP‐gel , 1986, The Journal of comparative neurology.
[87] P. Goldman-Rakic,et al. Delay-related activity of prefrontal neurons in rhesus monkeys performing delayed response , 1982, Brain Research.
[88] K. Rayner. Eye movements in reading and information processing. , 1978, Psychological bulletin.
[89] H. Barlow. Inductive Inference, Coding, Perception, and Language , 1974, Perception.
[90] Ronald A. Howard,et al. Information Value Theory , 1966, IEEE Trans. Syst. Sci. Cybern..
[91] K. Lashley. The problem of serial order in behavior , 1951 .