PSPs and ERPs: Applying the dynamics of post-synaptic potentials to individual units in simulation of temporally extended Event-Related Potential reading data

[1]  H AMSTER,et al.  SEMANTIC SATIATION AND GENERATION: LEARNING?ADAPTATION? , 1964, Psychological bulletin.

[2]  M. Rugg.  The effects of semantic priming and work repetition on event-related potentials. , 1985, Psychophysiology.

[3]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[4]  M. Rugg,et al.  Lexical contribution to nonword-repetition effects: Evidence from event-related potentials , 1987, Memory & cognition.

[5]  M. Rugg,et al.  Modulation of event-related potentials by word repetition: the effects of inter-item lag. , 1989, Psychophysiology.

[6]  James L. McClelland,et al.  A distributed, developmental model of word recognition and naming. , 1989, Psychological review.

[7]  M. Kutas,et al.  An Electrophysiological Probe of Incidental Semantic Association , 1989, Journal of Cognitive Neuroscience.

[8]  M. Rugg.  Event-related brain potentials dissociate repetition effects of high-and low-frequency words , 1990, Memory & cognition.

[9]  M. Kutas,et al.  An Event-Related Potential (ERP) Analysis of Semantic Congruity and Repetition Effects in Sentences , 1992, Journal of Cognitive Neuroscience.

[10]  James L. McClelland,et al.  Understanding normal and impaired word reading: computational principles in quasi-regular domains. , 1996, Psychological review.

[11]  G Bugmann,et al.  Biologically plausible neural computation. , 1997, Bio Systems.

[12]  M Coltheart,et al.  DRC: a dual route cascaded model of visual word recognition and reading aloud. , 2001, Psychological review.

[13]  Sabine Weiss,et al.  The contribution of EEG coherence to the investigation of language , 2003, Brain and Language.

[14]  Mark S. Seidenberg,et al.  Computing the meanings of words in reading: cooperative division of labor between visual and phonological processes. , 2004, Psychological review.

[15]  Ronald,et al.  Learning representations by backpropagating errors , 2004 .

[16]  Dennis Norris,et al.  The Bayesian reader: explaining word recognition as an optimal Bayesian decision process. , 2006, Psychological review.

[17]  Karl J. Friston,et al.  Dynamic causal modeling of evoked responses in EEG and MEG , 2006, NeuroImage.

[18]  Kara D. Federmeier,et al.  Better the DVL You Know , 2007, Psychological science.

[19]  Kara D. Federmeier,et al.  Handbook of Psychophysiology: Event-Related Brain Potentials: Methods, Theory, and Applications , 2007 .

[20]  Marco Zorzi,et al.  Nested incremental modeling in the development of computational theories: the CDP+ model of reading aloud. , 2007, Psychological review.

[21]  Marta Kutas,et al.  Interplay between computational models and cognitive electrophysiology in visual word recognition , 2007, Brain Research Reviews.

[22]  Ina Bornkessel-Schlesewsky,et al.  The internal structure of the N400: Frequency characteristics of a language-related ERP component , 2007 .

[23]  J. Cacioppo,et al.  Handbook Of Psychophysiology , 2019 .

[24]  R. Harald Baayen,et al.  Analyzing linguistic data: a practical introduction to statistics using R, 1st Edition , 2008 .

[25]  Van Berkum,et al.  Understanding Sentences in Context What Brain Waves Can Tell Us , 2008 .

[26]  R. H. Baayen,et al.  Analyzing Linguistic Data: Solutions to the exercises , 2008 .

[27]  Jonathan Grainger,et al.  Watching the Word Go by: On the Time-course of Component Processes in Visual Word Recognition , 2009, Lang. Linguistics Compass.

[28]  J. Tenenbaum,et al.  Probabilistic models of cognition: exploring representations and inductive biases , 2010, Trends in Cognitive Sciences.

[29]  Gary M. Oppenheim,et al.  The dark side of incremental learning: A model of cumulative semantic interference during lexical access in speech production , 2010, Cognition.

[30]  Klaas E. Stephan,et al.  Dynamic causal modelling: A critical review of the biophysical and statistical foundations , 2011, NeuroImage.

[31]  Kara D. Federmeier,et al.  The N400 as a snapshot of interactive processing: Evidence from regression analyses of orthographic neighbor and lexical associate effects. , 2011, Psychophysiology.

[32]  Kara D. Federmeier,et al.  Thirty years and counting: finding meaning in the N400 component of the event-related brain potential (ERP). , 2011, Annual review of psychology.

[33]  Jan Kujala,et al.  Neural interactions at the core of phonological and semantic priming of written words. , 2012, Cerebral cortex.

[34]  D. Plaut,et al.  A neurally plausible Parallel Distributed Processing model of Event-Related Potential word reading data , 2012, Brain and Language.

[35]  Blair C. Armstrong,et al.  Applying the dynamics of post-synaptic potentials to individual units in simulation of temporally extended ERP reading data , 2013, CogSci.

[36]  Andrei V. Medvedev,et al.  Gamma- and theta-band synchronization during semantic priming reflect local and long-range lexical–semantic networks , 2013, Brain and Language.