Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Psychological and Biological Models

Deep learning in neural networks: an overview

Schmidhuber, J. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.09.003 · Cited by 18,570 · see citing works

Whatever next? Predictive brains, situated agents, and the future of cognitive science

Clark, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000477 · Cited by 5,924 · see citing works

Networks for approximation and learning

Poggio, T., & Girosi, F. (1990) · Proceedings of the IEEE · doi:10.1109/5.58326 · Cited by 3,256 · see citing works

30 years of adaptive neural networks: perceptron, Madaline, and backpropagation

Widrow, B. C., & Lehr, M. A. (1990) · Proceedings of the IEEE · doi:10.1109/5.58323 · Cited by 2,241 · see citing works

Coding and use of tactile signals from the fingertips in object manipulation tasks

Johansson, R. S., & Flanagan, J. R. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2621 · Cited by 2,063 · see citing works

Deep Learning for Health Informatics

Ravì, D., Wong, C., Deligianni, F., Berthelot, M., Andreu-Perez, J., Lo, B., & Yang, G.-Z. (2017) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2016.2636665 · Cited by 2,000 · see citing works

Neural networks for control systems—A survey

Hunt, K. J., Sbarbaro, D. G., Żbikowski, R., & Gawthrop, P. J. (1992) · Automatica · doi:10.1016/0005-1098(92)90053-i · Cited by 1,861 · see citing works

Implicit learning and tacit knowledge

Reber, A. S. (1989) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.118.3.219 · Cited by 1,581 · see citing works

Time-locked multiregional retroactivation: a systems-level proposal for the neural substrates of recall and recognition

Damasio, A. R. (1989) · Cognition · doi:10.1016/0010-0277(89)90005-x · Cited by 1,538 · see citing works

Neural-network-based fuzzy logic control and decision system

Lin, C., & Lee, C. S. G. (1991) · IEEE Transactions on Computers · doi:10.1109/12.106218 · Cited by 1,483 · see citing works

Forward models: supervised learning with a distal teacher

Jordan, M. I., & Rumelhart, D. E. (1992) · Cognitive Science · doi:10.1207/s15516709cog1603_1 · Cited by 1,451 · see citing works

Generative AI and ChatGPT: applications, challenges, and AI-human collaboration

Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023) · Journal of Information Technology Case and Application Research · doi:10.1080/15228053.2023.2233814 · Cited by 1,363 · see citing works

Pavlovian conditioning: it's not what you think it is

Rescorla, R. A. (1988) · American Psychologist · doi:10.1037/0003-066x.43.3.151 · Cited by 1,542 · see citing works

An introduction to neural computing

Kohonen, T. (1988) · Neural Networks · doi:10.1016/0893-6080(88)90020-2 · Cited by 1,201 · see citing works

"Cognitive Dysmetria" as an Integrative Theory of Schizophrenia: A Dysfunction in Cortical-Subcortical-Cerebellar Circuitry?

Andreasen, N. C., Paradiso, S., & OʼLeary, D. S. (1998) · Schizophrenia Bulletin · doi:10.1093/oxfordjournals.schbul.a033321 · Cited by 1,176 · see citing works

An introduction to genetic algorithms

Deb, K. (1999) · Sadhana · doi:10.1007/bf02823145 · Cited by 1,180 · see citing works

A deep learning framework for neuroscience

Richards, B. A., Lillicrap, T. P., Beaudoin, P., Bengio, Y., Bogacz, R., Christensen, A., Clopath, C., Costa, R. P., de Berker, A., Ganguli, S., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0520-2 · Cited by 1,027 · see citing works

Beyond behaviorism: on the automaticity of higher mental processes.

Bargh, J., & Ferguson, M. (2000) · Psychological bulletin · doi:10.1037/0033-2909.126.6.925 · Cited by 1,064 · see citing works

Peripheral vision and pattern recognition: A review

Strasburger, H., Rentschler, I., & Jüttner, M. (2011) · Journal of Vision · doi:10.1167/11.5.13 · Cited by 939 · see citing works

Pyramidal Neuron as Two-Layer Neural Network

Poirazi, P., Brannon, T., & Mel, B. W. (2003) · Neuron · doi:10.1016/s0896-6273(03)00149-1 · Cited by 792 · see citing works

An embodied cognitive science?

Clark, A. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01361-3 · Cited by 781 · see citing works

Directed-graph epidemiological models of computer viruses

Kephart, J. O., & White, S. R. (2002) · IEEE Computer Society Symposium on Research in Security and Privacy · doi:10.1109/risp.1991.130801 · Cited by 788 · see citing works

Knowledge‐Based Modeling of Material Behavior with Neural Networks

Ghaboussi, J., Garrett, J. H., & Wu, X. (1991) · Journal of Engineering Mechanics · doi:10.1061/(asce)0733-9399(1991)117:1(132 · Cited by 784 · see citing works

Diagonal recurrent neural networks for dynamic systems control

Ku, C.-C., & Lee, K. Y. (1995) · IEEE Transactions on Neural Networks · doi:10.1109/72.363441 · Cited by 725 · see citing works

The recent excitement about neural networks

Crick, F. (1989) · Nature · doi:10.1038/337129a0 · Cited by 724 · see citing works

Discriminative learning for minimum error classification (pattern recognition)

Juang, B.-H., & Katagiri, S. (1992) · IEEE Transactions on Signal Processing · doi:10.1109/78.175747 · Cited by 714 · see citing works

Analyzing vision at the complexity level

Tsotsos, J. K. (1990) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00079577 · Cited by 704 · see citing works

Computation and cognition

Wallis, C. (2003) · Journal of Experimental & Theoretical Artificial Intelligence · doi:10.1080/0952813021000055199 · Cited by 687 · see citing works

Temporal Reasoning Based on Semi-Intervals

Freksa, C. (1992) · Artificial Intelligence · doi:10.1016/0004-3702(92)90090-k · Cited by 309 · see citing works

Competitive learning algorithms for vector quantization

Ahalt, S. C., Krishnamurthy, A. K., Chen, P., et al. (1990) · Neural Networks · doi:10.1016/0893-6080(90)90071-r · Cited by 673 · see citing works

A simple procedure for pruning back-propagation trained neural networks

Karnin, E. D. (1990) · IEEE Transactions on Neural Networks · doi:10.1109/72.80236 · Cited by 672 · see citing works

Dynamical approaches to cognitive science

Beer, R. D. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01440-0 · Cited by 639 · see citing works

Nonlinear principal component analysis—Based on principal curves and neural networks

Dong, D., & McAvoy, T. J. (1996) · Computers & Chemical Engineering · doi:10.1016/0098-1354(95)00003-k · Cited by 629 · see citing works

Self-organizing semantic maps

Ritter, H. J., & Kohonen, T. (1989) · Biological Cybernetics · doi:10.1007/bf00203171 · Cited by 622 · see citing works

Impact of Active Dendrites and Structural Plasticity on the Memory Capacity of Neural Tissue

Poirazi, P., & Mel, B. W. (2001) · Neuron · doi:10.1016/s0896-6273(01)00252-5 · Cited by 592 · see citing works

Short-term load forecasting using an artificial neural network

Lee, K. Y., Cha, Y. T., & Park, J.-S. (1992) · IEEE Transactions on Power Systems · doi:10.1109/59.141695 · Cited by 603 · see citing works

Neuronal Avalanches Are Diverse and Precise Activity Patterns That Are Stable for Many Hours in Cortical Slice Cultures

Beggs, J. M., & Plenz, D. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.0540-04.2004 · Cited by 575 · see citing works

A Neural Theory of Visual Attention: Bridging Cognition and Neurophysiology.

Bundesen, C., Habekost, T., & Kyllingsbæk, S. (2005) · Psychological Review · doi:10.1037/0033-295x.112.2.291 · Cited by 582 · see citing works

Dense Inhibitory Connectivity in Neocortex

Fino, E., & Yuste, R. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.025 · Cited by 532 · see citing works

Cortex and memory: emergence of a new paradigm

Fuster, J. M. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21280 · Cited by 559 · see citing works

An Introduction to Variational Methods for Graphical Models

Jordan, M. I., Zoubin Ghahramani, A., Jaakkola, T., & Saul, L. K. (1998) · Springer eBooks · doi:10.1007/978-94-011-5014-9_5 · Cited by 551 · see citing works

Large-scale cortical networks and cognition

Bressler, S. L. (1995) · Brain Research Reviews · doi:10.1016/0165-0173(94)00016-i · Cited by 548 · see citing works

Cognitive computational neuroscience

Kriegeskorte, N., & Douglas, P. K. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0210-5 · Cited by 535 · see citing works

An ANN application for water quality forecasting

Palani, S., Liong, S., & Tkalich, P. (2008) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2008.05.021 · Cited by 528 · see citing works

Artificial neural networking (ANN) analysis for heat and entropy generation in flow of non‐Newtonian fluid between two rotating disks

Zhao, T., Khan, M. I., & Chu, Y. (2021) · Mathematical Methods in the Applied Sciences · doi:10.1002/mma.7310 · Cited by 520 · see citing works

Forecasting the behavior of multivariate time series using neural networks

Chakraborty, K., Mehrotra, K. G., Mohan, C. K., et al. (1992) · Neural Networks · doi:10.1016/s0893-6080(05)80092-9 · Cited by 519 · see citing works

Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index

Chen, A., Leung, M. T., & Daouk, H. (2002) · Computers & Operations Research · doi:10.1016/s0305-0548(02)00037-0 · Cited by 527 · see citing works

Cognition and control in schizophrenia: a computational model of dopamine and prefrontal function

Braver, T. S., Barch, D. M., & Cohen, J. D. (1999) · Biological Psychiatry · doi:10.1016/s0006-3223(99)00116-x · Cited by 507 · see citing works

Authorship Attribution

Juola, P. (2008) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000005 · Cited by 505 · see citing works

Optimization of groundwater remediation using artificial neural networks with parallel solute transport modeling

Rogers, L. L., & Dowla, F. (1994) · Water Resources Research · doi:10.1029/93wr01494 · Cited by 485 · see citing works

Genetic algorithm learning and the cobweb model

Arifovic, J. (1994) · Journal of Economic Dynamics and Control · doi:10.1016/0165-1889(94)90067-1 · Cited by 471 · see citing works

Reflexion and reflection: A social cognitive neuroscience approach to attributional inference

Lieberman, M. D., Gaunt, R. A., Gilbert, D. T., & Yaacov Trope, B. (2002) · Advances in experimental social psychology · doi:10.1016/s0065-2601(02)80006-5 · Cited by 472 · see citing works

Artificial neural network models for forecasting and decision making

Hill, T., Marquez, L., O'Connor, M., & Remus, W. (1994) · International Journal of Forecasting · doi:10.1016/0169-2070(94)90045-0 · Cited by 475 · see citing works

Trends in cooperative distributed problem solving

Durfee, E. H., Lesser, V., & Corkill, D. D. (1989) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/69.43404 · Cited by 447 · see citing works

Neural network models for pattern recognition and associative memory

Carpenter, G. A. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90035-x · Cited by 417 · see citing works

The general inefficiency of batch training for gradient descent learning

Wilson, D. R., & Martinez, T. R. (2003) · Neural Networks · doi:10.1016/s0893-6080(03)00138-2 · Cited by 420 · see citing works

The Link between Brain Learning, Attention, and Consciousness

Grossberg, S. (1999) · Consciousness and Cognition · doi:10.1006/ccog.1998.0372 · Cited by 408 · see citing works

Dynamic node creation in backpropagation networks

ASH, T. (1989) · Connection Science · doi:10.1080/09540098908915647 · Cited by 415 · see citing works

Reasoning, Meaning, and Mind

Harman, G. H. (1999) · doi:10.1093/0198238029.001.0001 · Cited by 409 · see citing works

Multispectral classification of Landsat-images using neural networks

Bischof, H., Schneider, W., & Pinz, A. J. (1992) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.142926 · Cited by 404 · see citing works

Predicting prejudice

Stephan, W. G., & Stephan, C. W. (1996) · International Journal of Intercultural Relations · doi:10.1016/0147-1767(96)00026-0 · Cited by 414 · see citing works

Redundant, overlapping organization: A Japanese approach to managing the innovation process

Nonaka, I. (1990) · California Management Review · doi:10.2307/41166615 · Cited by 393 · see citing works

Efficient classification for multiclass problems using modular neural networks

Anand, R., Mehrotra, K., Mohan, C. K., et al. (1995) · IEEE Transactions on Neural Networks · doi:10.1109/72.363444 · Cited by 395 · see citing works

Theory and applications of neural networks for industrial control systems

Fukuda, T., & Shibata, T. (1992) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.170966 · Cited by 389 · see citing works

Temporal binding, binocular rivalry, and consciousness

Engel, A. K., Fries, P., König, P., Brecht, M., & Singer, W. (1999) · Consciousness and Cognition · doi:10.1006/ccog.1999.0389 · Cited by 379 · see citing works

Analyzing the Performance of Multilayer Neural Networks for Object Recognition

Agrawal, P., Girshick, R., & Malik, J. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10584-0_22 · Cited by 427 · see citing works

Hippocampal pyramidal cells excite inhibitory neurons through a single release site

Gulyás, A. I., Miles, R., Sik, A., Tóth, K., Tamamaki, N., & Freund, T. F. (1993) · Nature · doi:10.1038/366683a0 · Cited by 384 · see citing works

Implementations are not conceptualizations: Revising the verb learning model

MacWhinney, B., & Leinbach, J. (1991) · Cognition · doi:10.1016/0010-0277(91)90048-9 · Cited by 373 · see citing works

Improved weighting methods, deterministic and stochastic data-driven models for estimation of missing precipitation records

Teegavarapu, R. S. V., & Chandramouli, V. (2005) · Journal of Hydrology · doi:10.1016/j.jhydrol.2005.02.015 · Cited by 370 · see citing works

Learning to Segment Speech Using Multiple Cues: A Connectionist Model

Christiansen, M. H., Allen, J., & Seidenberg, M. S. (1998) · Language and Cognitive Processes · doi:10.1080/016909698386528 · Cited by 356 · see citing works

Exploring listening comprehension tactics and their interaction patterns

Goh, C. C. M. (2002) · System · doi:10.1016/s0346-251x(02)00004-0 · Cited by 358 · see citing works

Estimation of global solar radiation using artificial neural networks

Mohandes, M. A., Rehman, S., & Halawani, T. O. (1998) · Renewable Energy · doi:10.1016/s0960-1481(98)00065-2 · Cited by 352 · see citing works

Explicit information for category-orthogonal object properties increases along the ventral stream

Hong, H., Yamins, D. L. K., Majaj, N. J., & DiCarlo, J. J. (2016) · Nature Neuroscience · doi:10.1038/nn.4247 · Cited by 329 · see citing works

Frequency Effects and the Representational Status of Regular Inflections

Alegre, M. A., & Gordon, P. C. (1999) · Journal of Memory and Language · doi:10.1006/jmla.1998.2607 · Cited by 343 · see citing works

An Aggregation Approach to Short-Term Traffic Flow Prediction

Tan, M., Wong, S. C., Xu, J., Guan, Z.-R., & Zhang, P. (2009) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2008.2011693 · Cited by 337 · see citing works

Vocabulary Acquisition and Verbal Short-Term Memory: Computational and Neural Bases

Gupta, P., & MacWhinney, B. (1997) · Brain and Language · doi:10.1006/brln.1997.1819 · Cited by 337 · see citing works

Support vector machines and its applications in chemistry

Li, H., Liang, Y., & Xu, Q. (2008) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2008.10.007 · Cited by 338 · see citing works

Neural networks for oil spill detection using ERS-SAR data

Frate, F. D., Petrocchi, A., Lichtenegger, J., et al. (2000) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.868885 · Cited by 336 · see citing works

Artificial neural network estimation of global solar radiation using air temperature and relative humidity

Rehman, S., & Mohandes, M. A. (2007) · Energy Policy · doi:10.1016/j.enpol.2007.09.033 · Cited by 332 · see citing works

Computational analyses of multilevel discourse comprehension

Graesser, A. C., & McNamara, D. S. (2011) · Topics in Cognitive Science · doi:10.1111/j.1756-8765.2010.01081.x · Cited by 325 · see citing works

Cognitive computing

Modha, D. S., Ananthanarayanan, R., Esser, S. K., Ndirango, A., Sherbondy, A. J., & Singh, R. (2011) · Communications of the ACM · doi:10.1145/1978542.1978559 · Cited by 331 · see citing works

Six principles for biologically based computational models of cortical cognition

O’Reilly, R. C. (1998) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(98)01241-8 · Cited by 317 · see citing works

Intact Artificial Grammar Learning in Amnesia: Dissociation of Classification Learning and Explicit Memory for Specific Instances

Knowlton, B. J., Ramus, S. J., & Squire, L. R. (1992) · Psychological Science · doi:10.1111/j.1467-9280.1992.tb00021.x · Cited by 316 · see citing works

Stimulus‐Dependent Neuronal Oscillations in Cat Visual Cortex: Receptive Field Properties and Feature Dependence

Gray, C. M., Engel, A. K., Peter König, B., & Singer, W. (1990) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1990.tb00450.x · Cited by 315 · see citing works

The cerebellum and VOR/OKR learning models

Kawato, M., & Gomi, H. (1992) · Trends in Neurosciences · doi:10.1016/0166-2236(92)90008-v · Cited by 320 · see citing works

Population coding of affect across stimuli, modalities and individuals

Chikazoe, J., Lee, D. H., Kriegeskorte, N., & Anderson, A. K. (2014) · Nature Neuroscience · doi:10.1038/nn.3749 · Cited by 303 · see citing works

Toward a Unified Model of Attention in Associative Learning

Kruschke, J. K. (2001) · Journal of Mathematical Psychology · doi:10.1006/jmps.2000.1354 · Cited by 309 · see citing works

Implicit statistical learning is directly associated with the acquisition of syntax

Kidd, E. (2012) · Developmental Psychology · doi:10.1037/a0025405 · Cited by 310 · see citing works

Conceptual Structure and the Structure of Concepts: A Distributed Account of Category-Specific Deficits

TYLER, L. K., Moss, H. E., Durrant-peatfield, M., & Levy, J. (2000) · Brain and Language · doi:10.1006/brln.2000.2353 · Cited by 304 · see citing works

The pi-sigma network: an efficient higher-order neural network for pattern classification and function approximation

Shin, Y., & Ghosh, J. (2002) · 2022 International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.1991.155142 · Cited by 303 · see citing works

Effects of noun phrase type on sentence complexity

Gordon, P. C., Hendrick, R., & Johnson, M. (2004) · Journal of Memory and Language · doi:10.1016/j.jml.2004.02.003 · Cited by 304 · see citing works

Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network.

Brusić, V., Rudy, G. B., Honeyman, G., et al. (1998) · Bioinformatics · doi:10.1093/bioinformatics/14.2.121 · Cited by 296 · see citing works

Untitled work

(2000) · doi:10.1002/(sici)1098-1063(2000)10:1

Neural network control for a closed-loop System using Feedback-error-learning

Gomi, H., & Kawato, M. (1993) · Neural Networks · doi:10.1016/s0893-6080(09)80004-x · Cited by 288 · see citing works

Designing an artificial neural network for forecasting tourism time series

Pol, A. L. P., Moreno, J. J. M., & Sesé, A. (2005) · Tourism Management · doi:10.1016/j.tourman.2005.05.006 · Cited by 287 · see citing works

Précis ofBeyond modularity: A developmental perspective on cognitive science

Karmiloff‐Smith, A. (1994) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00036621 · Cited by 285 · see citing works

Inductive biases for deep learning of higher-level cognition

Goyal, A., & Bengio, Y. (2022) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rspa.2021.0068 · Cited by 300 · see citing works

Free food or earned food? A review and fuzzy model of contrafreeloading

INGLIS, I. R., Forkman, B., & Lazarus, J. H. (1997) · Animal Behaviour · doi:10.1006/anbe.1996.0320 · Cited by 281 · see citing works

Boundaries of the Mind

Wilson, R. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511606847 · Cited by 286 · see citing works

Probabilistic Neural Networks in Bankruptcy Prediction

Yang, Z. R., Platt, M. B., & Platt, H. D. (1999) · Journal of Business Research · doi:10.1016/s0148-2963(97)00242-7 · Cited by 279 · see citing works

The allure of connectionism reexamined

McLaughlin, B. P., & Warfield, T. A. (1994) · Synthese · doi:10.1007/bf01063895 · Cited by 23 · see citing works

Connectionist approaches to development

(1996) · Infant Behavior and Development · doi:10.1016/s0163-6383(96)90232-5

Connectionism in a broad perspective : selected papers from the Swedish Conference on Connectionism, 1992

Niklasson, L., & Bodén, M. (1994) · Ellis Horwood eBooks · Cited by 2 · see citing works

What Should a Connectionist Philosophy of Science Look Like

McCauley, R. N., & Bechtel, W. (2002) · Cited by 34 · see citing works

Connectionism and Systematicity

Matthews, R. J. (2005) · Encyclopedia of Cognitive Science · doi:10.1002/0470018860.s00164 · Cited by 2 · see citing works