| * | 2009 |
|---|
| 10 | EE | James L. McClelland:
Is a Machine Realization of Truly Human-Like Intelligence Achievable?
Cognitive Computation 1(1): 17-21 (2009) |
| 2007 |
|---|
| 9 | EE | James L. McClelland,
Kim Plunkett,
Juyang Weng:
Guest Editorial: Convergent Approaches to the Understanding of Autonomous Mental Development.
IEEE Trans. Evolutionary Computation 11(2): 133-136 (2007) |
| 1999 |
|---|
| 8 | EE | Javier R. Movellan,
James L. McClelland:
Information Factorization in Connectionist Models of Perception.
NIPS 1999: 45-51 |
| 1997 |
|---|
| 7 | | Randall C. O'Reilly,
Kenneth A. Norman,
James L. McClelland:
A Hippocampal Model of Recognition Memory.
NIPS 1997 |
| 1993 |
|---|
| 6 | | Javier R. Movellan,
James L. McClelland:
Learning Continuous Probability Distributions with Symmetric Diffusion Networks.
Cognitive Science 17(4): 463-496 (1993) |
| 1991 |
|---|
| 5 | | David Servan-Schreiber,
Axel Cleeremans,
James L. McClelland:
Graded State Machines: The Representation of Temporal Contingencies in Simple Recurrent Networks.
Machine Learning 7: 161-193 (1991) |
| 1990 |
|---|
| 4 | | Mark F. St. John,
James L. McClelland:
Learning and Applying Contextual Constraints in Sentence Comprehension.
Artif. Intell. 46(1-2): 217-257 (1990) |
| 1988 |
|---|
| 3 | EE | David Servan-Schreiber,
Axel Cleeremans,
James L. McClelland:
Learning Subsequential Structure in Simple Recurrent Networks.
NIPS 1988: 643-652 |
| 1987 |
|---|
| 2 | EE | Geoffrey E. Hinton,
James L. McClelland:
Learning Representations by Recirculation.
NIPS 1987: 358-366 |
| 1985 |
|---|
| 1 | | James L. McClelland:
Putting Knowledge in its Place: A Scheme for Programming Parallel Processing Structures on the Fly.
Cognitive Science 9(1): 113-146 (1985) |
