An interactive activation model of context effects in letter perception: part 1.: an account of basic findings

By James L. McClelland, David E. Rumelhart. 1988

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Citations in the corpus

Generalization Through the Recurrent Interaction of Episodic Memories (2012, methodology): “In the REMERGE model, therefore, and indeed the wider class of interactive activation networks (McClelland, 1981; McClelland & Rumelhart, 1981; also see Page, 2000), the appropriate level of inhibitory competition plays a critical role in allowing localist codes for several conjunctive experiences…”
Demythologizing the word frequency effect: A discriminative learning perspective (2010, methodology): “The interactive activation model of McClelland and Rumelhart (1981), the dual route model of Coltheart et al. (2001), and the bilingual interactive activation model of Van Heuven, Dijkstra, and Grainger (1998) all code frequency into the resting activation levels of logogen-like word units.”
Frequency in lexical processing (2016, methodology): “Influential models of lexical processing, irrespective of whether they make use of interactive activation (McClelland and Rumelhart, 1981; Coltheart, Rastle, Perry, Langdon and Ziegler, 2001; Dijkstra and Van Heuven, 2002; Taft, 1994) or spreading activation (Levelt, Roelofs and Meyer, 1999) have ad”
The Bayesian reader: explaining word recognition as an optimal Bayesian decision process. (2006, background): “McDonald and Shillcock (2001) suggested word recognition is strongly influenced by the number of different contexts a word can appear in.”
Computing the meanings of words in reading: cooperative division of labor between visual and phonological processes. (2004, methodology): “15In the Interactive Activation model of McClelland and Rumelhart (1981), units corresponding to segments of letters activated”
The New C Standard (Excerpted material) An Economic and Cultural Commentary (2008, unknown): “A model that might be said to mimic the letter- and word-recognition processes in the brain is the Interactive Activation Model.[225] The psychology studies that include the use of character sequences (in most cases denoting words) are intended to uncover some aspect of the workings of the human min”
Competitive Learning: From Interactive Activation to Adaptive Resonance (1987, methodology): “The types of top-down effects, such as the " rich-get-richer " and " gang " effects, which McClelland and Rumelhart (1981) experimentally reported were predicted formal properties of the ART theory as developed in Grossberg (1978).”
Is it time to leave behind the Revised Hierarchical Model of bilingual language processing after fifteen years of service (2010, methodology): “This model was a straightforward extension of the IA-model of visual word recognition, first proposed by McClelland and Rumelhart (1981). The model contained the three layers used by McClelland and Rumelhart (features, letters, and words), added L2 words to the word layer and a language layer at the”
Acquisition by processing: A modular perspective on language development (2004, background): “The need for a notion of activation level is widely accepted in processing research (e.g. McClelland and Rumelhart, 1981; Bock, 1986; Dijkstra and van Heuven, 1998).”
A stimulus sampling theory of letter identity and order (2010, methodology): “For example, in both the interactive activation model of McClelland and Rumelhart (1981; Rumelhart & McClelland, 1982), and the Bayesian Reader model of Norris (2006), both lexical representations and input representations are position-”
Cognitive Processes in Second Language Learners and Bilinguals: The Development of Lexical and Conceptual Representations (2008, methodology): “(1998) interpreted the presence of cross-language effects of lexical form as support for a bilingual version of the interactive activation model (McClelland and Rumelhart, 1981), or BIA (see also Dijkstra and Van Heuven, 1998; Dijkstra, Van Heuven, and Grainger, 1998).”
Visual Word Recognition (2007, unknown): “The interactive-activation model (McClelland and Rumelhart, 1981; Rumelhart and McClelland 1982), along with its subsequent variants including the DRC model (Coltheart et al., 2001) and the MROM model (Grainger and Jacobs, 1996), solves this problem through the use of slotbased coding.”