Learned Representation of Implied Serial Order in Posterior Parietal Cortex

[1]  H. Terrace,et al.  Reward associations do not explain transitive inference performance in monkeys , 2018, Science Advances.

[2]  Nicholas K DeWind,et al.  Pharmacological inactivation does not support a unique causal role for intraparietal sulcus in the discrimination of visual number , 2017, PloS one.

[3]  Marie Arsalidou,et al.  Brain areas associated with numbers and calculations in children: Meta-analyses of fMRI studies , 2017, Developmental Cognitive Neuroscience.

[4]  Christian Robert,et al.  Statistical Rethinking , 2017 .

[5]  Daniel Glen,et al.  Three-Dimensional Digital Template Atlas of the Macaque Brain , 2016, Cerebral cortex.

[6]  H. Terrace,et al.  Transitive inference in humans and rhesus macaques after massed training of the last two list items , 2016, bioRxiv.

[7]  F. Di Bello,et al.  Neuronal Modulation in the Prefrontal Cortex in a Transitive Inference Task: Evidence of Neuronal Correlates of Mental Schema Management , 2016, The Journal of Neuroscience.

[8]  L. Snyder,et al.  Reward Size Informs Repeat‐Switch Decisions and Strongly Modulates the Activity of Neurons in Parietal Cortex , 2015, Cerebral cortex.

[9]  Vincent P. Ferrera,et al.  Implicit Value Updating Explains Transitive Inference Performance: The Betasort Model , 2015, PLoS Comput. Biol..

[10]  Christopher G. Lucas,et al.  A rational model of function learning , 2015, Psychonomic bulletin & review.

[11]  Clara N. Bergene,et al.  Effects of spatial training on transitive inference performance in humans and rhesus monkeys. , 2014, Journal of experimental psychology. Animal learning and cognition.

[12]  M. Goldberg,et al.  A spatially nonselective baseline signal in parietal cortex reflects the probability of a monkey’s success on the current trial , 2014, Proceedings of the National Academy of Sciences.

[13]  Aki Vehtari,et al.  Expectation propagation for nonstationary heteroscedastic Gaussian process regression , 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

[14]  D. Kumaran,et al.  Transitivity performance, relational hierarchy knowledge and awareness: Results of an instructional framing manipulation , 2013, Hippocampus.

[15]  Greg Jensen,et al.  Transfer of a Serial Representation between Two Distinct Tasks by Rhesus Macaques , 2013, PloS one.

[16]  D. Kumaran.  Schema-driven facilitation of new hierarchy learning in the transitive inference paradigm , 2013, Learning & memory.

[17]  Pooja Viswanathan,et al.  Neuronal correlates of a visual “sense of number” in primate parietal and prefrontal cortices , 2013, Proceedings of the National Academy of Sciences.

[18]  R. Hampton,et al.  Automated cognitive testing of monkeys in social groups yields results comparable to individual laboratory-based testing , 2013, Animal Cognition.

[19]  Jérôme Prado,et al.  Fractionating the neural substrates of transitive reasoning: task-dependent contributions of spatial and verbal representations. , 2013, Cerebral cortex.

[20]  Bert Reynvoet,et al.  Comparing the neural distance effect derived from the non–symbolic comparison and the same–different task , 2013, Front. Hum. Neurosci..

[21]  Regina Paxton Gazes,et al.  Cognitive mechanisms for transitive inference performance in rhesus monkeys: measuring the influence of associative strength and inferred order. , 2012, Journal of experimental psychology. Animal behavior processes.

[22]  Jessica F Cantlon,et al.  Math, monkeys, and the developing brain , 2012, Proceedings of the National Academy of Sciences.

[23]  Elizabeth M. Brannon,et al.  Representation of numerosity in posterior parietal cortex , 2012, Front. Integr. Neurosci..

[24]  Christina B. Young,et al.  Functional dissociations between four basic arithmetic operations in the human posterior parietal cortex: A cytoarchitectonic mapping study , 2011, Neuropsychologia.

[25]  Giorgio Vallortigara,et al.  Origins of spatial, temporal and numerical cognition: Insights from comparative psychology , 2010, Trends in Cognitive Sciences.

[26]  S. Phillips,et al.  Relational knowledge: the foundation of higher cognition , 2010, Trends in Cognitive Sciences.

[27]  J. Tanji,et al.  Deficits in action selection based on numerical information after inactivation of the posterior parietal cortex in monkeys. , 2010, Journal of neurophysiology.

[28]  Simon Dymond,et al.  Neural correlates of relational reasoning and the symbolic distance effect: involvement of parietal cortex , 2010, Neuroscience.

[29]  Jérôme Prado,et al.  Overlapping and distinct neural representations of numbers and verbal transitive series. , 2010, Cerebral cortex.

[30]  Andreas Nieder,et al.  Tuning to non‐symbolic proportions in the human frontoparietal cortex , 2009, The European journal of neuroscience.

[31]  Shigeru Shinomoto,et al.  Kernel bandwidth optimization in spike rate estimation , 2009, Journal of Computational Neuroscience.

[32]  David J. Freedman,et al.  Distinct Encoding of Spatial and Nonspatial Visual Information in Parietal Cortex , 2009, The Journal of Neuroscience.

[33]  Franco Cauda,et al.  Mental number line disruption in a right-neglect patient after a left-hemisphere stroke , 2009, Brain and Cognition.

[34]  Marco Vasconcelos,et al.  Transitive inference in non-human animals: An empirical and theoretical analysis , 2008, Behavioural Processes.

[35]  Bruno B Averbeck,et al.  Representing spatial relationships in posterior parietal cortex: single neurons code object-referenced position. , 2007, Cerebral cortex.

[36]  M. Herrmann,et al.  Common brain regions underlying different arithmetic operations as revealed by conjunct fMRI–BOLD activation , 2007, Brain Research.

[37]  F. R. Treichler,et al.  Serial list linking by macaque monkeys (Macaca mulatta): list property limitations. , 2007, Journal of comparative psychology.

[38]  E. Brannon,et al.  Monotonic Coding of Numerosity in Macaque Lateral Intraparietal Area , 2007, PLoS biology.

[39]  Michael N. Shadlen,et al.  Probabilistic reasoning by neurons , 2007, Nature.

[40]  S. Dehaene,et al.  A Magnitude Code Common to Numerosities and Number Symbols in Human Intraparietal Cortex , 2007, Neuron.

[41]  S. Moses,et al.  An investigation of learning strategy supporting transitive inference performance in humans compared to other species , 2006, Neuropsychologia.

[42]  Michael J. Frank,et al.  When Memory Fails, Intuition Reigns , 2006, Psychological science.

[43]  T. Pasternak,et al.  Area MT neurons respond to visual motion distant from their receptive fields. , 2005, Journal of neurophysiology.

[44]  S. Dehaene,et al.  Interactions between number and space in parietal cortex , 2005, Nature Reviews Neuroscience.

[45]  Philippe Pinel,et al.  Tuning Curves for Approximate Numerosity in the Human Intraparietal Sulcus , 2004, Neuron.

[46]  R. Quian Quiroga,et al.  Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering , 2004, Neural Computation.

[47]  L. Gold,et al.  Modeling a task that is sensitive to dementia of the Alzheimer’s type: individual differences in acquisition of a visuo-spatial paired-associate learning task in rhesus monkeys , 2004, Behavioural Brain Research.

[48]  S. Dehaene,et al.  Functional and Structural Alterations of the Intraparietal Sulcus in a Developmental Dyscalculia of Genetic Origin , 2003, Neuron.

[49]  Vincent Walsh.  A theory of magnitude: common cortical metrics of time, space and quantity , 2003, Trends in Cognitive Sciences.

[50]  R. L Gould,et al.  FMRI BOLD response to increasing task difficulty during successful paired associates learning , 2003, NeuroImage.

[51]  Wim Fias,et al.  The mental representation of ordinal sequences is spatially organized , 2003, Cognition.

[52]  Carl E. Rasmussen,et al.  Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.

[53]  M. Goldberg,et al.  Neuronal Activity in the Lateral Intraparietal Area and Spatial Attention , 2003, Science.

[54]  Elizabeth M. Brannon,et al.  Serial Expertise of Rhesus Macaques , 2003, Psychological science.

[55]  J. Donoghue,et al.  Frontal and parietal lobe activation during transitive inference in humans. , 2002, Cerebral cortex.

[56]  David J. Freedman,et al.  Representation of the Quantity of Visual Items in the Primate Prefrontal Cortex , 2002, Science.

[57]  K. Heilman,et al.  The Gerstmann syndrome in Alzheimer's disease , 2002, Journal of neurology, neurosurgery, and psychiatry.

[58]  J. Tanji,et al.  Numerical representation for action in the parietal cortex of the monkey , 2002, Nature.

[59]  Michael L. Platt,et al.  Neural correlates of decision variables in parietal cortex , 1999, Nature.

[60]  John H. R. Maunsell,et al.  Shape selectivity in primate lateral intraparietal cortex , 1998, Nature.

[61]  Christian Quaia,et al.  The maintenance of spatial accuracy by the perisaccadic remapping of visual receptive fields , 1998, Neural Networks.

[62]  C. D. L. Wynne,et al.  Pigeon transitive inference: Tests of simple accounts of a complex performance , 1997, Behavioural Processes.

[63]  William A. Roberts,et al.  Transitive Inference in Rats: A Test of the Spatial Coding Hypothesis , 1994 .

[64]  Emilio Salinas,et al.  Vector reconstruction from firing rates , 1994, Journal of Computational Neuroscience.

[65]  Stanislas Dehaene,et al.  Development of Elementary Numerical Abilities: A Neuronal Model , 1993, Journal of Cognitive Neuroscience.

[66]  M. Colombo,et al.  The symbolic distance effect in monkeys (Cebus apella) , 1990 .

[67]  P. J. Green,et al.  Density Estimation for Statistics and Data Analysis , 1987 .

[68]  James Durbin,et al.  The first-passage density of a continuous gaussian process to a general boundary , 1985, Journal of Applied Probability.

[69]  B. Richmond,et al.  Implantation of magnetic search coils for measurement of eye position: An improved method , 1980, Vision Research.

[70]  R. Moyer,et al.  Mental comparison and the symbolic distance effect , 1976, Cognitive Psychology.

[71]  J. Call,et al.  Perception, learning, and cognition , 2017 .

[72]  David B. Dunson,et al.  Bayesian data analysis, third edition , 2013 .

[73]  Aki Vehtari,et al.  GPstuff: Bayesian modeling with Gaussian processes , 2013, J. Mach. Learn. Res..

[74]  Andreas Nieder,et al.  Coding of abstract quantity by ‘number neurons’ of the primate brain , 2012, Journal of Comparative Physiology A.

[75]  Elizabeth M. Brannon,et al.  Evolutionary Foundations of the Approximate Number System , 2011 .