ePC: Fast and Deep Predictive Coding in Digital Simulation
2026. 43rd International Conference on Machine Learning
Papers for Rafal Bogacz
View Rafal Bogacz's Profile2026
Innocenti F, Achour EM, Bogacz R
On the Infinite Width and Depth Limits of Predictive Coding Networks
2026, Proceedings of the 43rd International Conference on Machine Learning
Dithering suppresses half-harmonic neural synchronisation to photic stimulation in humans.
2026. Brain Stimul, 19(3):103111.
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PMC13328066
Oliviers G, Tang M, Bogacz R
Bidirectional Predictive Coding
2026. The Fourteenth International Conference on Learning Representations
2025
Pinchetti L, Qi C, Lokshyn O, Oliviers G, Emde C, Tang M, M'Charrak A, Frieder S, Menzat B, Bogacz R, Lukasiewicz T, Salvatori T
Benchmarking Predictive Coding Networks - Made Simple
2025. International Conference on Learning Representations
Li TE, Tang M, Bogacz R
Predictive Coding Model Detects Novelty on Different Levels of Representation Hierarchy.
2025. Neural Comput, 37(8):1373-1408.
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PMC7618029
Dopamine encodes deep network teaching signals for individual learning trajectories.
2025. Cell, 188(14):3789-3805.e33.
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PMC7619352
Mirkhani N, McNamara CG, Oliviers G, Sharott A, Duchet B, Bogacz R
Response of neuronal populations to phase-locked stimulation: model-based predictions and validation.
2025. J Neurosci, 45(15):e2269242025
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PMC11984083
2024
Calder-Travis J, Charles L, Bogacz R, Yeung N
Bayesian confidence in optimal decisions.
2024. Psychol Rev, 131(5):1114-1160.
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PMC7617410
Millidge B, Song Y, Lak A, Walton ME, Bogacz R
Reward Bases: A simple mechanism for adaptive acquisition of multiple reward types.
2024. PLoS Comput Biol, 20(11)e1012580.
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PMC11614280
Oliviers G, Bogacz R, Meulemans A
Learning probability distributions of sensory inputs with Monte Carlo predictive coding.
2024. PLoS Comput Biol, 20(10)e1012532.
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PMC11524488
Fritsche M, Majumdar A, Strickland LAM, Liebana Garcia S, Bogacz R, Lak A
Temporal regularities shape perceptual decisions and striatal dopamine signals.
2024. Nat Commun, 15(1):7093.
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PMC11330509
How to design optimal brain stimulation to modulate phase-amplitude coupling?
2024. J Neural Eng, 21(4).
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PMC7616267
Dopamine encoding of novelty facilitates efficient uncertainty-driven exploration.
2024. PLoS Comput Biol, 20(4)e1011516.
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PMC11051659
Millidge B, Tang M, Osanlouy M, Harper NS, Bogacz R
Predictive coding networks for temporal prediction.
2024. PLoS Comput Biol, 20(4)e1011183.
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PMC11008833
Salvatori T, Song Y, Yordanov Y, Millidge B, Sha L, Emde C, Xu Z, Bogacz R, Lukasiewicz T
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
2024. The Twelveth International Conference on Learning Representations
Song Y, Millidge B, Salvatori T, Lukasiewicz T, Xu Z, Bogacz R
Inferring neural activity before plasticity as a foundation for learning beyond backpropagation.
2024. Nat Neurosci, 27(2):348-358.
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PMC7615830
2023
Sequential Memory with Temporal Predictive Coding.
2023. Adv Neural Inf Process Syst, 36:44341-44355.
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PMC7615819
Millidge B, Song Y, Salvatori T, Lukasiewicz T, Bogacz R
A Theoretical Framework for Inference and Learning in Predictive Coding Networks
2023. The Eleventh International Conference on Learning Representations
Millidge B, Song Y, Salvatori T, Lukasiewicz T, Bogacz R
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
2023. The Eleventh International Conference on Learning Representations
Calder-Travis J, Bogacz R, Yeung N
Expressions for Bayesian confidence of drift diffusion observers in fluctuating stimuli tasks
2023, Journal of Mathematical Psychology, 117, 102815
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PMC7615478
Sub-harmonic entrainment of cortical gamma oscillations to deep brain stimulation in Parkinson's disease: Model based predictions and validation in three human subjects.
2023. Brain Stimul, 16(5):1412-1424.
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PMC10635843
Herz DM, Bange M, Gonzalez-Escamilla G, Auer M, Muthuraman M, Glaser M, Bogacz R, Pogosyan A, Tan H, Groppa S, Brown P
Dynamic modulation of subthalamic nucleus activity facilitates adaptive behavior.
2023. PLoS Biol, 21(6)e3002140.
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PMC10234560
Tang M, Salvatori T, Millidge B, Song Y, Lukasiewicz T, Bogacz R
Recurrent predictive coding models for associative memory employing covariance learning.
2023. PLoS Comput Biol, 19(4)e1010719.
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PMC10132551
van Swieten MMH, Bogacz R, Manohar S
Gambling on an empty stomach: Hunger modulates preferences for learned but not described risks.
2023. Brain Behav, 13(5)e2978.
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PMC10176009
How to entrain a selected neuronal rhythm but not others: open-loop dithered brain stimulation for selective entrainment.
2023. J Neural Eng, 20(2).
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PMC7614323
2022
Salvatori T, Pinchetti L, Millidge B, Song Y, Bao T, Bogacz R, Lukasiewicz T
Learning on Arbitrary Graph Topologies via Predictive Coding
2022. Advances in Neural Information Processing Systems, 35, 38232-38244
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PMC7614467
Millidge B, Salvatori T, Song Y, Lukasiewicz T, Bogacz R
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models
2022. Proceedings of the 39th International Conference on Machine Learning, PMLR 162:15561-15583
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PMC7614148
Dynamic control of decision and movement speed in the human basal ganglia.
2022. Nat Commun, 13(1):7530.
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PMC9729212
Salvatori T, Song Y, Xu Z, Lukasiewicz T, Bogacz R
Reverse Differentiation via Predictive Coding
In Proceedings of the 36th AAAI Conference on Artificial Intelligence‚ AAAI 2022 ‚Vancouver, BC, Canada, February 22--March 1‚ 2022 (Vol. 10177, pp. 507-524). AAAI Press.
Patai EZ, Foltynie T, Limousin P, Akram H, Zrinzo L, Bogacz R, Litvak V
Conflict Detection in a Sequential Decision Task Is Associated with Increased Cortico-Subthalamic Coherence and Prolonged Subthalamic Oscillatory Response in the β Band.
2022. J Neurosci, 42(23):4681-4692.
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PMC9186803
Möller M, Manohar S, Bogacz R
Uncertainty-guided learning with scaled prediction errors in the basal ganglia.
2022. PLoS Comput Biol, 18(5)e1009816.
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PMC9182698
Lefebvre G, Summerfield C, Bogacz R
A Normative Account of Confirmation Bias During Reinforcement Learning.
2022. Neural Comput, 34(2):307-337.
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PMC7612695
2021
Case Report: Embedding "Digital Chronotherapy" Into Medical Devices-A Canine Validation for Controlling Status Epilepticus Through Multi-Scale Rhythmic Brain Stimulation.
2021. Front Neurosci, 15:734265.
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PMC8498587
Salvatori T, Song Y, Hong Y, Sha L, Frieder S, Xu Z, Bogacz R, Lukasiewicz T
Associative Memories via Predictive Coding.
2021. Adv. Neural Inf. Process Syst., 34:3874-3886.
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PMC7612799
van Swieten MMH, Bogacz R, Manohar S
Hunger improves reinforcement-driven but not planned action.
2021. Cogn Affect Behav Neurosci, 21(6):1196-1206.
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PMC8563670
Neural signatures of hyperdirect pathway activity in Parkinson's disease.
2021. Nat Commun, 12(1):5185.
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PMC8408177
Moeller M, Grohn J, Manohar S, Bogacz R
An association between prediction errors and risk-seeking: Theory and behavioral evidence.
2021. PLoS Comput Biol, 17(7)e1009213.
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PMC8318232
Optimal closed-loop deep brain stimulation using multiple independently controlled contacts
2021. PLoS Comput. Biol., 17(8):e1009281.
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PMC8405008
Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson's disease.
2021. PLoS Comput Biol, 17(7)e1009116.
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PMC8263069
Optimizing deep brain stimulation based on isostable amplitude in essential tremor patient models.
2021. J Neural Eng, 18(4):046023.
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PMC7610712
2020
Song Y, Lukasiewicz T, Xu Z, Bogacz R
Can the Brain Do Backpropagation? -Exact Implementation of Backpropagation in Predictive Coding Networks.
2020. Adv Neural Inf Process Syst, 33:22566-22579.
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PMC7610561
Dopamine role in learning and action inference.
2020. eLife, 9:e53262
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PMC7392608
van Swieten MMH, Bogacz R
Modeling the effects of motivation on choice and learning in the basal ganglia.
2020. PLoS Comput. Biol., 16(5):e1007465.
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PMC7274475
Phase-dependence of response curves to deep brain stimulation and their relationship: from essential tremor patient data to a Wilson-Cowan model.
2020. J. Math. Neurosci., 10(1):4.
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PMC7105566
2019
Richards BA, Lillicrap TP, Beaudoin P, Bengio Y, Bogacz R, Christensen A, Clopath C, Costa RP, de Berker A, Ganguli S, Gillon CJ, Hafner D, Kepecs A, Kriegeskorte N, Latham P, Lindsay GW, Miller KD, Naud R, Pack CC, Poirazi P, Roelfsema P, Sacramento J, Saxe A, Scellier B, Schapiro AC, Senn W, Wayne G, Yamins D, Zenke F, Zylberberg J, Therien D, Kording KP
A deep learning framework for neuroscience.
2019. Nat. Neurosci., 22:1761-1770.
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PMC7115933
Predicting the effects of deep brain stimulation using a reduced coupled oscillator model.
2019. PLoS Comput. Biol., 15(8):e1006575.
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PMC6701819
Möller M, Bogacz R
Learning the payoffs and costs of actions.
2019. PLoS Comput. Biol., 15(2):e1006285.
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PMC6413954
Whittington JCR, Bogacz R
Theories of Error Back-Propagation in the Brain.
2019. Trends Cogn. Sci., 23, 235-250
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PMC6382460
2018
Moraud EM, Tinkhauser G, Agrawal M, Brown P, Bogacz R
Predicting beta bursts from local field potentials to improve closed-loop DBS paradigms in Parkinson’s patients
2018. Conf Proc IEEE Eng Med Biol Soc., 2018:3766-3769
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PMC6277014
Cieślak PE, Ahn WY, Bogacz R, Rodriguez Parkitna J
Selective Effects of the Loss of NMDA or mGluR5 Receptors in the Reward System on Adaptive Decision-Making.
2018. eNeuro. 5(4):e0331-18.2018
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PMC6175304
Malhotra G, Leslie DS, Ludwig CJ, Bogacz R
Time-varying decision boundaries: insights from optimality analysis.
2018.Psychon Bull Rev, 25(3):971-996.
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PMC5990589
Leimbach F, Georgiev D, Litvak V, Antoniades C, Limousin P, Jahanshahi M, Bogacz R
Deep Brain Stimulation of the Subthalamic Nucleus Does Not Affect the Decrease of Decision Threshold during the Choice Process When There Is No Conflict, Time Pressure, or Reward.
2018.J Cogn Neurosci, 30(6):876-884.
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PMC6037388
Groschner LN, Chan Wah Hak L, Bogacz R, DasGupta S, Miesenböck G
Dendritic Integration of Sensory Evidence in Perceptual Decision-Making.
2018. Cell, 173(4):894-905.
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PMC5947940
Herz DM, Little S, Pedrosa D, Tinkhauser G, Cheeran B, Foltynie T, Bogacz R, Brown P
Mechanisms Underlying Decision-Making as Revealed by Deep-Brain Stimulation in Patients with Parkinson's Disease.
2018. Curr. Biol., 28(8):1169-1178.e6.
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PMC5912902
2017
Grogan J, Tsivos D, Smith L, Knight BE, Bogacz R, Whone AL, Coulthard EJ
Effects of dopamine on reinforcement learning and consolidation in Parkinson's disease.
2017. eLife;6:e26801
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PMC5531832
Malhotra G, Leslie DS, Ludwig CJ, Bogacz R
Overcoming indecision by changing the decision boundary.
2017.J Exp Psychol Gen, 146(6):776-805.
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PMC5459222
Gillies MJ, Hyam JA, Weiss AR, Antoniades CA, Bogacz R, Fitzgerald JJ, Aziz TZ, Whittington MA, Green AL
The Cognitive Role of the Globus Pallidus interna; Insights from Disease States.
2017.Exp Brain Res, 235(5):1455-1465.
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PMC5380693
Whittington JCR, Bogacz R
An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity.
2017.Neural Comput, 29(5):1229-1262.
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PMC5467749
A tutorial on the free-energy framework for modelling perception and learning.
2017.J Math Psychol, 76(Pt B):198-211.
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PMC5341759
Distinct mechanisms mediate speed-accuracy adjustments in cortico-subthalamic networks.
2017. eLife, 6:e21481
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PMC5287713
Kurzawa N, Summerfield C, Bogacz R
Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision Making.
2017.Neural Comput, 29(2):368-393.
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PMC5462093
2016
Mikhael JG, Bogacz R
Learning Reward Uncertainty in the Basal Ganglia.
2016.PLoS Comput. Biol., 12(9):e1005062.
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PMC5010205
Properties of Neurons in External Globus Pallidus Can Support Optimal Action Selection.
2016.PLoS Comput. Biol., 12(7):e1005004.
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PMC4936724
Herz DM, Zavala B, Bogacz R, Brown P
Neural Correlates of Decision Thresholds in the Human Subthalamic Nucleus.
2016.Curr. Biol., 26(7):916-20.
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PMC4826434
Action initiation shapes mesolimbic dopamine encoding of future rewards.
2016.Nat. Neurosci., 19(1):34-6.
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PMC4697363
2015
Pavlides A, Hogan SJ, Bogacz R
Computational Models Describing Possible Mechanisms for Generation of Excessive Beta Oscillations in Parkinson's Disease.
2015.PLoS Comput. Biol., 11(12):e1004609.
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PMC4684204
Grogan J, Bogacz R, Tsivos D, Whone AL, Coulthard EJ
Dopamine and Consolidation of Episodic Memory: Timing Is Everything.
2015.J Cogn Neurosci, 27(10):2035-50.
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PMC4880040
Keuken MC, Van Maanen L, Bogacz R, Schäfer A, Neumann J, Turner R, Forstmann BU
The subthalamic nucleus during decision-making with multiple alternatives.
2015.Hum Brain Mapp, 36(10):4041-4052.
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PMC4896390
Distinct developmental origins manifest in the specialized encoding of movement by adult neurons of the external globus pallidus.
2015. Neuron, 86(2):501-13.
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PMC4416107
2014
Onslow AC, Jones MW, Bogacz R
A canonical circuit for generating phase-amplitude coupling.
2014.PLoS ONE, 9(8):e102591.
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PMC4138025
Effective connectivity of the subthalamic nucleus-globus pallidus network during Parkinsonian oscillations.
2014.J. Physiol. (Lond.), 592(7):1429-55.
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PMC3979604
2013
Green N, Bogacz R, Huebl J, Beyer AK, Kühn AA, Heekeren HR
Reduction of influence of task difficulty on perceptual decision making by STN deep brain stimulation.
2013.Curr. Biol., 23(17):1681-4.
Cassey TC, Evens DR, Bogacz R, Marshall JA, Ludwig CJ
Adaptive sampling of information in perceptual decision-making.
2013.PLoS ONE, 8(11):e78993.
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PMC3842256
2012
Marshall JA, Bogacz R, Gilchrist ID
Consistent implementation of decisions in the brain.
2012.PLoS ONE, 7(9):e43443.
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PMC3440404
Lloyd K, Becker N, Jones MW, Bogacz R
Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats.
2012.Front Comput Neurosci, 6():87.
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PMC3483721
Pavlides A, Hogan SJ, Bogacz R
Improved conditions for the generation of beta oscillations in the subthalamic nucleus--globus pallidus network.
2012.Eur. J. Neurosci., 36(2):2229-39.
Coulthard EJ, Bogacz R, Javed S, Mooney LK, Murphy G, Keeley S, Whone AL
Distinct roles of dopamine and subthalamic nucleus in learning and probabilistic decision making.
2012.Brain, 135(Pt 12):3721-34.
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PMC3525052
2011
Nevado-Holgado AJ, Terry JR, Bogacz R
Bifurcation analysis points towards the source of beta neuronal oscillations in Parkinson's disease
2011. , (): .
Howard-Jones PA, Demetriou S, Bogacz R, Yoo JH, Leonards U
Toward a Science of Learning Games
2011. Brain, Mind and Education, 5(1): 33–41.
Bogacz R, Larsen T
Integration of reinforcement learning and optimal decision-making theories of the basal ganglia.
2011.Neural Comput, 23(4):817-51.
Lulham A, Bogacz R, Vogt S, Brown MW
An Infomax algorithm can perform both familiarity discrimination and feature extraction in a single network.
2011.Neural Comput, 23(4):909-26.
Kucewicz MT, Tricklebank MD, Bogacz R, Jones MW
Dysfunctional prefrontal cortical network activity and interactions following cannabinoid receptor activation.
2011.J. Neurosci., 31(43):15560-8.
Onslow AC, Bogacz R, Jones MW
Quantifying phase-amplitude coupling in neuronal network oscillations.
2011.Prog. Biophys. Mol. Biol., 105(1-2):49-57.
2010
Zhang J, Bogacz R
Bounded Ornstein–Uhlenbeck models for two-choice time controlled tasks
2010. J Math Psychol, 54(3): 322–333.
Bogacz R, Wagenmakers EJ, Forstmann BU, Nieuwenhuis S
The neural basis of the speed-accuracy tradeoff.
2010.Trends Neurosci., 33(1):10-6.
Bogacz R, Hu PT, Holmes P, Cohen JD
Do humans produce the speed-accuracy trade-off that maximizes reward rate?
2010.Q J Exp Psychol (Hove), 63(5):863-91.
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PMC2908414
Forstmann BU, Anwander A, Schäfer A, Neumann J, Brown S, Wagenmakers EJ, Bogacz R, Turner R
Cortico-striatal connections predict control over speed and accuracy in perceptual decision making.
2010.Proc. Natl. Acad. Sci. U.S.A., 107(36):15916-20.
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PMC2936628
Howard-Jones PA, Bogacz R, Yoo JH, Leonards U, Demetriou S
The neural mechanisms of learning from competitors.
2010.Neuroimage, 53(2):790-9.
Zhang J, Bogacz R
Optimal decision making on the basis of evidence represented in spike trains.
2010.Neural Comput, 22(5):1113-48.
Larsen T, Bogacz R
Initiation and termination of integration in a decision process.
2010.Neural Netw, 23(3):322-33.
Larsen T, Leslie DS, Collins EJ, Bogacz R
Posterior weighted reinforcement learning with state uncertainty.
2010.Neural Comput, 22(5):1149-79.
Holgado AJ, Terry JR, Bogacz R
Conditions for the generation of beta oscillations in the subthalamic nucleus-globus pallidus network.
2010.J. Neurosci., 30(37):12340-52.
Zacksenhouse M, Bogacz R, Holmes P
Robust versus optimal strategies for two-alternative forced choice tasks.
2010.J Math Psychol, 54(2):230-246.
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PMC3505075
2009
Optimal decision-making theories. In: Handbook of reward and decision making
Handbook of reward and decision making (pp. 373-397). Academic Press.
Zhang J, Bogacz R, Holmes P
A comparison of bounded diffusion models for choice in time controlled tasks.
2009.J Math Psychol, 53(4):231-241.
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PMC2757788
Marshall JA, Bogacz R, Dornhaus A, Planqué R, Kovacs T, Franks NR
On optimal decision-making in brains and social insect colonies.
2009.J R Soc Interface, 6(40):1065-74.
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PMC2827444
2008
Zhang J, Bogacz R
Superior Colliculus and Basal Ganglia Control the Saccadic Response in Motion Discrimination Tasks
2008. , (): 475-479 .
Optimal decision making in the cortico-basal-ganglia circuit
2008 Invited Address, IUPsyS Invited Symposium, Invited Symposium, Symposium, Paper Session, Poster Session, International Journal of Psychology, 43:3-4, 348-527
Trimmer PC, Houston AI, Marshall JA, Bogacz R, Paul ES, Mendl MT, McNamara JM
Mammalian choices: combining fast-but-inaccurate and slow-but-accurate decision-making systems.
2008.Proc. Biol. Sci., 275(1649):2353-61.
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PMC2603220
Androulidakis Z, Lulham A, Bogacz R, Brown MW
Computational models can replicate the capacity of human recognition memory.
2008.Network, 19(3):161-82.
2007
Optimal decision-making theories: linking neurobiology with behaviour.
2007.Trends Cogn. Sci. (Regul. Ed.), 11(3):118-25.
Yeung N, Bogacz R, Holroyd CB, Nieuwenhuis S, Cohen JD
Theta phase resetting and the error-related negativity.
2007.Psychophysiology, 44(1):39-49.
Bogacz R, Usher M, Zhang J, McClelland JL
Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice.
2007.Philos. Trans. R. Soc. Lond., B, Biol. Sci., 362(1485):1655-70.
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PMC2440778
Optimal decision network with distributed representation.
2007.Neural Netw, 20(5):564-76.
Bogacz R, Gurney K
The basal ganglia and cortex implement optimal decision making between alternative actions.
2007.Neural Comput, 19(2):442-77.
Bogacz R, McClure SM, Li J, Cohen JD, Montague PR
Short-term memory traces for action bias in human reinforcement learning.
2007.Brain Res., 1153():111-21.
2006
Anjum S, Bogacz R, Tucci T
Model of Reinforcement Learning in the Mouse Reaching and Grasping Experiment
2006. Proceedings of AISB'06: Adaption in Articial and Biological Systems, 1(): 30–36.
Bogacz R, Brown E, Moehlis J, Holmes P, Cohen JD
The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks.
2006.Psychol Rev, 113(4):700-65.
2005
Holmes P, Shea-Brown E, Moehlis J, Bogacz R, Gao J, Aston-Jones G, Clayton E, Rajkowski J, Cohen JD
Optimal decisions: From neural spikes, through stochastic differential equations, to behavior
2005. IEICA Trans. Fundamentals, 88(10): 2495–2503.
2004
Yeung N, Bogacz R, Holroyd CB, Cohen JD
Detection of synchronized oscillations in the electroencephalogram: an evaluation of methods.
2004.Psychophysiology, 41(6):822-32.
Bogacz R, Cohen JD
Parameterization of connectionist models.
2004.Behav Res Methods Instrum Comput, 36(4):732-41.
2003
Bogacz R, Brown MW
An anti-Hebbian model of familiarity discrimination in the perirhinal cortex
2003. Neurocomputing, 52(4): 1–6.
Bogacz R, Brown MW
Comparison of computational models of familiarity discrimination in the perirhinal cortex.
2003.Hippocampus, 13(4):494-524.
2002
Bogacz R, Brown MW
Capacity of perirhinal cortex network for recognising frequently repeating stimuli
2002. Neurocomputing, 44(6): 337–342.
Bogacz R, Brown MW
The restricted influence of sparseness of coding on the capacity of familiarity discrimination networks.
2002.Network, 13(4):457-85.
2001
Bogacz R, Brown MW, Giraud-Carrier C
Frequency-based error back-propagation in a cortical network
2001. , 2(): 211–216.
Bogacz R, Brown MW, Giraud-Carrier C
Emergence of Movement Sensitive Neurons' Properties by Learning a Sparse Code for Natural Moving Images
2001. Advances in Neural Information Processing Systems 13, (): 838-844.
Bogacz R, Brown MW, Giraud-Carrier C
A familiarity discrimination algorithm inspired by computations of the perirhinal cortex
2001. , (): 428-441.
Bogacz R, Brown MW, Giraud-Carrier C
Model of co-operation between recency, familiarity and novelty neurons in the perirhinal cortex
2001. Neurocomputing, 38–40(): 1121-1126.
2000
Bogacz R, Giraud-Carrier C
A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning
2000.Hybrid Neural Systems, LNAI 1778, pp. 63–77
1996
Implementing Knowledge Database in Neural Networks
Proceedings of the 2nd Conference on Neural Networks and Their Applications, Szczyrk, pp. 66-71