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Six principles for biologically based computational models of cortical cognition
Trends in Cognitive Sciences 2 (11):455-462 (1998)
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Citations of this work
Neural reuse: A fundamental organizational principle of the brain.Michael L. Anderson - 2010 - Behavioral and Brain Sciences 33 (4):245.
Conjunctive representations in learning and memory: Principles of cortical and hippocampal function.Randall C. O'Reilly & Jerry W. Rudy - 2001 - Psychological Review 108 (2):311-345.
Modeling hippocampal and neocortical contributions to recognition memory: A complementary-learning-systems approach.Kenneth A. Norman & Randall C. O'Reilly - 2003 - Psychological Review 110 (4):611-646.
Flexible cognitive resources: competitive content maps for attention and memory.Steven L. Franconeri, George A. Alvarez & Patrick Cavanagh - 2013 - Trends in Cognitive Sciences 17 (3):134-141.
On the biological plausibility of grandmother cells: Implications for neural network theories in psychology and neuroscience.Jeffrey S. Bowers - 2009 - Psychological Review 116 (1):220-251.
References found in this work
A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge.Thomas K. Landauer & Susan T. Dumais - 1997 - Psychological Review 104 (2):211-240.
A learning algorithm for boltzmann machines.David H. Ackley, Geoffrey E. Hinton & Terrence J. Sejnowski - 1985 - Cognitive Science 9 (1):147-169.
Interaction of information in word recognition.John Morton - 1969 - Psychological Review 76 (2):165-178.
Connectionist learning procedures.Geoffrey E. Hinton - 1989 - Artificial Intelligence 40 (1-3):185-234.
From rote learning to system building: acquiring verb morphology in children and connectionist nets.Kim Plunkett & Virginia Marchman - 1993 - Cognition 48 (1):21-69.
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