Information Technology Reference
In-Depth Information
Movellan, J. R. (1990). Contrastive Hebbian learning in the
continuous Hopfield model. In D. S. Touretzky, G. E. Hin-
ton, & T. J. Sejnowski (Eds.),
Proceedings of the 1989
Connectionist Models Summer School
(pp. 10-17). San
Mateo, CA: Morgan Kaufman.
Movellan, J. R., & McClelland, J. L. (1993). Learning con-
tinuous probability distributions with symmetric diffusion
networks.
Cognitive Science
,
17
, 463-496.
Mozer, M. C. (1987). Early parallel processing in reading: A
connectionist approach. In M. Colthheart (Ed.),
Attention
and Performance XII: The Psychology of Reading.
(pp. 83-
104). Hillsdale, NJ: Lawrence Erlbaum Associates.
Mozer, M. C. (1991).
The perception of multiple objects: A
connectionist approach
. Cambridge, MA: MIT Press.
Mozer, M. C. (1993). Neural net architectures for temporal
sequence processing. In A. Weigend, & N. Gershenfeld
(Eds.),
Predicting the future and understanding the past
.
Redwood City, CA: Addison-Wesley.
Mozer, M. C., & Sitton, M. (1998). Computational modeling
of spatial attention. In H. Pashler (Ed.),
Attention
(pp. 341-
393). London: UCL Press.
Mozer, M. C., Zemel, R. S., Behrmann, M., & Williams, C.
K. I. (1992). Learning to segment images using dynamic
feature binding.
Neural Computation
,
4
, 650-665.
Munakata, Y. (1998). Infant perseveration and implicatio
ns
for object permanence theories: A PDP model of the
AB
task.
Developmental Science
,
1
, 161-184.
Munakata, Y. (in press). Task-dependency in infant behav-
ior: Toward an understanding of the processes underlying
cognitive development. In F. Lacerda, C. v. Hofsten, &
M. Heimann (Eds.),
Emerging cognitive abilities in early
infancy
. Mahwah, NJ: Lawrence Erlbaum.
Munakata, Y., McClelland, J. L., Johnson, M. J., & Siegler,
R. S. (1997). Rethinking infant knowledge: Toward an
adaptive process account of successes and failures in object
permanence tasks.
Psychological Review
,
104
, 686-713.
Newcombe, F. (1969).
Missile wounds of the brain: A study of
psychological deficits.
Oxford: Oxford University Press.
Newell, A. (1990).
Unified theories of cognition
. Cambridge,
MA: Harvard University Press.
Newell, A., & Simon, H. A. (1972).
Human problem solving
.
Englewood Cliffs, NJ: Prentice-Hall.
Noelle, D. C., & Cottrell, G. W. (1996). In search of articu-
lated attractors. In G. W. Cottrell (Ed.),
Proceedings of the
18th Annual Conference of the Cognitive Science Society
(pp. 329-334). Mahwah, NJ: Lawrence Erlbaum.
Norman, K. A., & Schacter, D. (submitted). List strength af-
fects recollection but not familiarity.
Nowlan, S. J. (1990). Maximum likelihood competitive learn-
ing. In D. S. Touretzky (Ed.),
Advances in neural informa-
tion processing systems, 2
(pp. 574-582). San Mateo, CA:
Morgan Kaufmann.
Oja, E. (1982). A simplified neuron model as a principal
component analyzer.
Journal of Mathematical Biology
,
15
,
267-273.
Oja, E. (1989). Neural networks, principal components, and
subspaces.
International Journal of Neural Systems
,
1
, 61-
68.
O'Keefe, J., & Nadel, L. (1978).
The hippocampus as a cog-
nitive map
. Oxford: Oxford University Press.
Olshausen, B. A., & Field, D. J. (1996). Emergence of simple-
cell receptive field properties by learning a sparse code for
natural images.
Nature
,
381
, 607.
O'Reilly, R. C. (1996a). Biologically plausible error-driven
learning using local activation differences:
The general-
ized recirculation algorithm.
Neural Computation
,
8
(5),
895-938.
O'Reilly, R. C. (1996b).
The Leabra model of neural interac-
tions and learning in the neocortex
. PhD thesis, Carnegie
Mellon University, Pittsburgh, PA, USA.
O'Reilly, R. C. (1998). Six principles for biologically-based
computational models of cortical cognition.
Trends in Cog-
nitive Sciences
,
2
(11), 455-462.
O'Reilly, R. C. (in press). Generalization in interactive net-
works: The benefits of inhibitory competition and Hebbian
learning.
Neural Computation
.
O'Reilly, R. C., Braver, T. S., & Cohen, J. D. (1999a). A
biologically based computational model of working mem-
ory. In A. Miyake, & P. Shah (Eds.),
Models of working
memory: Mechanisms of active maintenance and executive
control.
(pp. 375-411). New York: Cambridge University
Press.
O'Reilly, R. C., & Farah, M. J. (1999). Simulation and ex-
planation in neuropsychology and beyond.
Cognitive Neu-
ropsychology
,
16
, 49-72.
O'Reilly, R. C., & Hoeffner, J. H. (in preparation). Competi-
tion, priming, and the past tense U-shaped developmental
curve.
O'Reilly, R. C., & McClelland, J. L. (1994). Hippocam-
pal conjunctive encoding, storage, and recall: Avoiding a
tradeoff.
Hippocampus
,
4
(6), 661-682.
O'Reilly, R. C., Mozer, M., Munakata, Y., & Miyake, A.
(1999b). Discrete representations in working memory: A
Search WWH ::
Custom Search