Robert M. French - researchr alias

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Viewing Publication 1 - 35 from 35

2023

A Recurrent Connectionist Model of Melody Perception: An Exploration Using TRACX2Daniel Defays, Robert M. French, Barbara Tillmann. cogsci, 47(4), April 2023. [doi]

2022

Online Task-free Continual Learning with Dynamic Sparse Distributed MemoryJulien Pourcel, Ngoc-Son Vu, Robert M. French. eccv 2022: 739-756 [doi]

When of Analogical Reasoning Across Analogy Formats: An Eye-Tracking and Machine Learning ApproachJean-Pierre Thibaut, Yannick Glady, Robert M. French. cogsci, 46(11), November 2022. [doi]

2020

Peak correlation classifier (PCC) applied to FTIR spectra: a novel means of identifying toxic substances in mixturesRobert M. French, Vesna Simic, Mathieu Thevenin. iet-spr, 14(10):737-744, 2020. [doi]

Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar LearningWillem H. Zuidema, Robert M. French, Raquel G. Alhama, Kevin Ellis, Timothy J. O'Donnell, Tim Sainburg, Timothy Gentner. topics, 12(3):925-941, 2020. [doi]

2019

Missing the Forest for the Trees: Why Cognitive Science Circa 2019 Is Alive and WellRobert M. French. topics, 11(4):880-883, 2019. [doi]

2017

TRACX2: a RAAM-like autoencoder modeling graded chunking in infant visual-sequence learningRobert M. French, Denis Mareschal. cogsci 2017: [doi]

2015

Interactive Effects of Explicit Emergent Structure: A Major Challenge for Cognitive Computational ModelingRobert M. French, Elizabeth Thomas. topics, 7(2):206-216, 2015. [doi]

2012

Computational Modeling in Cognitive Science: A Manifesto for ChangeCaspar Addyman, Robert M. French. topics, 4(3):332-341, 2012. [doi]

Moving beyond the Turing testRobert M. French. CACM, 55(12):74-77, 2012. [doi]

2011

2008

KAMA: A Temperature-Driven Model of Mate Choice Using Dynamic Partner RepresentationsRobert M. French, Elif T. Kus. adb, 16(1):71-95, 2008. [doi]

The language of emotion in short blog textsAlastair J. Gill, Robert M. French, Darren Gergle, Jon Oberlander. cscw 2008: 299-302 [doi]

Emotion rating from short blog textsAlastair J. Gill, Darren Gergle, Robert M. French, Jon Oberlander. CHI 2008: 1121-1124 [doi]

2004

Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgettingBernard Ans, Stephane Rousset, Robert M. French, Serban C. Musca. connection, 16(2):71-99, 2004. [doi]

2002

Using Noise to Compute Error Surfaces in Connectionist Networks: A Novel Means of Reducing Catastrophic ForgettingRobert M. French, Nick Chater. neco, 14(7):1755-1769, 2002. [doi]

Asymmetric interference in 3- to 4-month-olds sequential category learningDenis Mareschal, Paul C. Quinn, Robert M. French. cogsci, 26(3):377-389, 2002. [doi]

2001

Why co-occurrence information alone is not sufficient to answer subcognitive questionsRobert M. French, Christophe L. Labiouse. jetai, 13(4):421-429, 2001. [doi]

The Dynamical Hypothesis in Cognitive Science: A Review Essay of Mind As MotionRobert M. French, Elizabeth Thomas. mima, 11(1):101-111, 2001. [doi]

2000

Peeking behind the screen: the unsuspected power of the standard Turing TestRobert M. French. jetai, 12(3):331-340, 2000.

Pseudopatterns and dual-network memory models: Advantages and shortcomingsRobert M. French, Bernard Ans, Stéphane Rousset. ncpw 2001: 13-22 [doi]

A Connectionist Model of Person Perception and Stereotype FormationChristophe L. Labiouse, Robert M. French. ncpw 2001: 209-218 [doi]

1997

Pseudo-recurrent Connectionist Networks: An Approach to the Sensitivity-Stability DilemmaRobert M. French. connection, 9(4):353-380, 1997. [doi]

Selective memory loss in aphasics: An insight from pseudo-recurrent connectionist networksRobert M. French. ncpw 1998: 183-195 [doi]

A Neurobiologically Inspired Model of Working Memory Based on Neuronal Synchrony and RythmicityJacques P. Sougné, Robert M. French. ncpw 1998: 155-167 [doi]

1996

1995

Taking the paradox out of the observer's paradoxRobert M. French. jetai, 7(3):269-271, 1995. [doi]

1993

Catastrophic Interference in Connectionist Networks: Can It Be Predicted, Can It Be Prevented?Robert M. French. nips 1994: 1176-1177 [doi]

1992

High-level perception, representation, and analogy: a critique of artificial intelligence methodologyDavid J. Chalmers, Robert M. French, Douglas Hofstadter. jetai, 4(3):185-211, 1992.

Tabletop: An emergent, stochastic computer model of analogy-makingRobert M. French. PhD thesis, University of Michigan, USA, 1992. [doi]

1990

Active Symbols and Internal Models: Towards a Cognitive ConnectionismStephen Kaplan, Mark Weaver, Robert M. French. ais, 4(1):51-71, 1990.

1989

An Analogy Between Western Legal Traditions and Approaches to Artificial IntelligenceRobert M. French. ais, 3(3):229-234, 1989.

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