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What's new here?Bruce Mangan - 1999 - Behavioral and Brain Sciences 22 (1):160-161.details
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Models of cognition: Neurological possibility does not indicate neurological plausibility.Peter R. Krebs - 2005 - In Proceedings of CogSci 2005. Mahwah, New Jersey: Lawrence Erlbaum Associates. pp. 184-1189.details
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Smoke without fire: What do virtual experiments in cognitive science really tell us?Mr Peter R. Krebs - unknowndetails
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Representational redescription and cognitive architectures.Antonella Carassa & Maurizio Tirassa - 1994 - Carassa, Antonella and Tirassa, Maurizio (1994) Representational Redescription and Cognitive Architectures. [Journal (Paginated)] 17 (4):711-712.details
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A bound on synchronically interpretable structure.Jon M. Slack - 2004 - Mind and Language 19 (3):305–333.details
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Characteristics of dissociable human learning systems.David R. Shanks & Mark F. St John - 1994 - Behavioral and Brain Sciences 17 (3):367-447.details
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Implicit learning: News from the front.Axel Cleeremans, Arnaud Destrebecqz & Maud Boyer - 1998 - Trends in Cognitive Sciences 2 (10):406-416.details
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Accounting for the computational basis of consciousness: A connectionist approach.Ron Sun - 1999 - Consciousness and Cognition 8 (4):529-565.details
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Consciousness: A connectionist manifesto. [REVIEW]Dan Lloyd - 1995 - Minds and Machines 5 (2):161-85.details
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Consciousness, connectionism, and cognitive neuroscience: A meeting of the minds.Dan Lloyd - 1996 - Philosophical Psychology 9 (1):61-78.details
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Implicit Learning and Consciousness: A Graded, Dynamic Perspective.Axel Cleeremans & Luis Jimenez - 2002 - In Robert M. French & Axel Cleeremans (eds.), Implicit Learning and Consciousness: An Empirical. Psychology Press.details
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Comparing direct and indirect measures of sequence learning.Jimenez Luis, Mendez Castor & Cleeremans Axel - 1996 - Journal of Experimental Psychology 22 (4):948-969.details
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Inside Doubt: On the Non-Identity of the Theory of Mind and Propositional Attitude Psychology. [REVIEW]David Landy - 2005 - Minds and Machines 15 (3-4):399-414.details
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High-level perception, representation, and analogy:A critique of artificial intelligence methodology.David J. Chalmers, Robert M. French & Douglas R. Hofstadter - 1992 - Journal of Experimental and Theoretical Artificial Intellige 4 (3):185 - 211.details
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Do connectionist representations earn their explanatory keep?William Ramsey - 1997 - Mind and Language 12 (1):34-66.details
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Content and Its vehicles in connectionist systems.Nicholas Shea - 2007 - Mind and Language 22 (3):246–269.details
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Directions in Connectionist Research: Tractable Computations Without Syntactically Structured Representations.Jonathan Waskan & William Bechtel - 1997 - Metaphilosophy 28 (1‐2):31-62.details
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Generalization and connectionist language learning.Morten H. Christiansen & Nick Chater - 1994 - Mind and Language 9 (3):273-87.details
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Systematicity in connectionist language learning.Robert F. Hadley - 1994 - Mind and Language 9 (3):247-72.details
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Systematicity revisited.Robert F. Hadley - 1994 - Mind and Language 9 (4):431-44.details
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Recursive distributed representations.Jordan B. Pollack - 1990 - Artificial Intelligence 46 (1-2):77-105.details
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Compositionality in cognitive models: The real issue. [REVIEW]Keith Butler - 1995 - Philosophical Studies 78 (2):153-62.details
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Philosophy meets the neurosciences.William Bechtel, Pete Mandik & Jennifer Mundale - 2001 - In William P. Bechtel, Pete Mandik, Jennifer Mundale & Robert S. Stufflebeam (eds.), Philosophy and the Neurosciences: A Reader. Malden, Mass.: Blackwell.details
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A predictive coding model of the N400.Samer Nour Eddine, Trevor Brothers, Lin Wang, Michael Spratling & Gina R. Kuperberg - 2024 - Cognition 246 (C):105755.details
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Statistical learning of syllable sequences as trajectories through a perceptual similarity space.Wendy Qi & Jason D. Zevin - 2024 - Cognition 244 (C):105689.details
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Cognitive Mechanisms Underlying Recursive Pattern Processing in Human Adults.Abhishek M. Dedhe, Steven T. Piantadosi & Jessica F. Cantlon - 2023 - Cognitive Science 47 (4):e13273.details
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Origins of Hierarchical Logical Reasoning.Abhishek M. Dedhe, Hayley Clatterbuck, Steven T. Piantadosi & Jessica F. Cantlon - 2023 - Cognitive Science 47 (2):13250.details
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No need to forget, just keep the balance: Hebbian neural networks for statistical learning.Ángel Eugenio Tovar & Gert Westermann - 2023 - Cognition 230 (C):105176.details
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A Unifying Perspective on Perception and Cognition Through Linguistic Representations of Emotion.Prakash Mondal - 2022 - Frontiers in Psychology 13.details
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Knowledge-augmented face perception: Prospects for the Bayesian brain-framework to align AI and human vision.Martin Maier, Florian Blume, Pia Bideau, Olaf Hellwich & Rasha Abdel Rahman - 2022 - Consciousness and Cognition 101:103301.details
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A parallel architecture perspective on pre-activation and prediction in language processing.Falk Huettig, Jenny Audring & Ray Jackendoff - 2022 - Cognition 224:105050.details
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Interaction history as a source of compositionality in emergent communication.Tomasz Korbak, Julian Zubek, Łukasz Kuciński, Piotr Miłoś & Joanna Rączaszek-Leonardi - 2021 - Interaction Studies 22 (2):212-243.details
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(What) Can Deep Learning Contribute to Theoretical Linguistics?Gabe Dupre - 2021 - Minds and Machines 31 (4):617-635.details
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Finding event structure in time: What recurrent neural networks can tell us about event structure in mind.Forrest Davis & Gerry T. M. Altmann - 2021 - Cognition 213 (C):104651.details
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When forgetting fosters learning: A neural network model for statistical learning.Ansgar D. Endress & Scott P. Johnson - 2021 - Cognition 213 (C):104621.details
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Evaluating models of robust word recognition with serial reproduction.Stephan C. Meylan, Sathvik Nair & Thomas L. Griffiths - 2021 - Cognition 210 (C):104553.details
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From senses to texts: An all-in-one graph-based approach for measuring semantic similarity.Mohammad Taher Pilehvar & Roberto Navigli - 2015 - Artificial Intelligence 228 (C):95-128.details
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Response to my critics.Hubert L. Dreyfus - 1996 - Artificial Intelligence 80 (1):171-191.details
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Event‐Predictive Cognition: A Root for Conceptual Human Thought.Martin V. Butz, Asya Achimova, David Bilkey & Alistair Knott - 2021 - Topics in Cognitive Science 13 (1):10-24.details
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Adjacent and Non‐Adjacent Word Contexts Both Predict Age of Acquisition of English Words: A Distributional Corpus Analysis of Child‐Directed Speech.Lucas M. Chang & Gedeon O. Deák - 2020 - Cognitive Science 44 (11):e12899.details
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Tea With Milk? A Hierarchical Generative Framework of Sequential Event Comprehension.Gina R. Kuperberg - 2021 - Topics in Cognitive Science 13 (1):256-298.details
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Dynamical systems theory in cognitive science and neuroscience.Luis H. Favela - 2020 - Philosophy Compass 15 (8):e12695.details
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Finding Structure in Time: Visualizing and Analyzing Behavioral Time Series.Tian Linger Xu, Kaya de Barbaro, Drew H. Abney & Ralf F. A. Cox - 2020 - Frontiers in Psychology 11:521451.details
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Deep learning and cognitive science.Pietro Perconti & Alessio Plebe - 2020 - Cognition 203:104365.details
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Learning the generative principles of a symbol system from limited examples.Lei Yuan, Violet Xiang, David Crandall & Linda Smith - 2020 - Cognition 200 (C):104243.details
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Exploring What Is Encoded in Distributional Word Vectors: A Neurobiologically Motivated Analysis.Akira Utsumi - 2020 - Cognitive Science 44 (6):e12844.details
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Predictive Modeling of Individual Human Cognition: Upper Bounds and a New Perspective on Performance.Nicolas Riesterer, Daniel Brand & Marco Ragni - 2020 - Topics in Cognitive Science 12 (3):960-974.details
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Word Order Typology Interacts With Linguistic Complexity: A Cross‐Linguistic Corpus Study.Himanshu Yadav, Ashwini Vaidya, Vishakha Shukla & Samar Husain - 2020 - Cognitive Science 44 (4):e12822.details
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Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing.Richard Futrell, Edward Gibson & Roger P. Levy - 2020 - Cognitive Science 44 (3):e12814.details
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