The full list of publications is available on Google Scholar
Preprints
Bezerra, T. O. and Roque, A. C. (2024) Diverse calcium signaling in astrocytes: insights from a computational model. bioRxiv DOI: https://doi.org/10.1101/2024.07.03.601899.
2025
Romaro, C., Piqueira, J. R. C. and Roque, A. C. (2025) Adding space to random networks of spiking neurons: a method based on scaling the network size. Neural Computation 37:957–986. https://doi.org/10.1162/neco_a_01747
Rusch, F. R., Kinouchi, O. and Roque, A. C. (2025) Influence of topology on the critical behavior of hierarchical modular neuronal networks. Communications Physics 8:168. https://doi.org/10.1038/s42005-025-02074-5
Nóbrega, K. C. C., Nascimento, I. A. P. S., Souza, B. R. A., Gonçalves, R. A., Martins, T. S., Santos, G. F., Almeida da Silva, B. E., Frazão, A. H., Roque, A. C., Savica, R. and Piemonte, M. E. P. (2025) The impact of motor, non-motor, and social aspects on the sexual health of women living with Parkinson’s disease. Journal of Parkinson’s Disease 15:421-433. https://doi.org/10.1177/1877718X251315375
2024
Bezerra, T. O. and Roque, A. C. (2024) Dopamine facilitates the response to glutamatergic inputs in astrocyte cell models. PLoS Computational Biology 20:e1012688. https://doi.org/10.1371/journal.pcbi.1012688
Bezerra, T. O., Roque, A. C. and Salum, C. (2024) A computational model for the simulation of prepulse inhibition and Its modulation by cortical and subcortical units. Brain Sciences 14:502; https://doi.org/10.3390/brainsci14050502
Souza, B. R. A., Nóbrega, K. C. C., Almeida da Silva, B. E., Gonçalves, R. A., Martins, T. S., Santos, G. F., Frazão, A. H., Roque, A. C., Nascimento, I. A. P. S. and Piemonte, M. E. P. (2024) The impact of motor, non-motor, and social aspects on the sexual health of men living with Parkinson’s disease. Journal of Parkinson’s Disease 14:565–574. https://doi.org/10.3233/JPD-230212
Marchetti, T. C., Matsuda, R. H., Souza, V. H., Roque, A. C. and Baffa, O. (2024). Talking to the brain – An introduction to non-invasive brain stimulation techniques. Revista Brasileira de Física Médica 18:762. https://doi.org/10.29384/rbfm.2024.v18.19849001762
2023
Lima, V., Shimoura, R. O., Kamiji, N. L., Battaglia, D. and Roque, A. C. (2023). [Re] Inter-areal balanced amplification enhances signal propagation in a large-scale circuit model of the primate cortex. Rescience C 9:3. https://doi.org/10.5281/zenodo.10257800
Santos, G. V., d’Alencar, M. S., Helene, A. F., Roque, A. C., Miranda, J. G. V. and Piemonte, M. E. P. (2023) A
non-expensive bidimensional kinematic balance assessment can detect early postural instability in people with Parkinson’s disease. Frontiers in Neurology 14:1243445. https://doi.org/10.3389/fneur.2023.1243445
Nascimento, I. A. P. S., Nobrega, K. C. C., Souza, B. R.A., Barone, I. C., Checchio, G., Ponciano, V. P., de Paula, C. G. C., Possani, A. N., Penha, N. C., Helene, A. F., Roque, A. C., Savica, R. and Piemonte, M. E. P. (2023) Comparison of disability level between early and late onset Parkinson’s disease using WHODAS 2. Frontiers in Neurology 14:1281537. http://doi.org/10.3389/fneur.2023.1281537
d’Alencar, M. S., Santos, G. V., Helene, A. F., Roque, A. C., Miranda, J. G. V. and Piemonte, M. E. P. (2023) A
non-expensive bidimensional assessment can detect subtle alterations in gait performance in people in the early stages of Parkinson’s disease. Frontiers in Neurology 14:1101650. https://doi.org/10.3389/fneur.2023.1101650
2022
Lam, N. H., Borduqui, T., Hallak, J., Roque, A. C., Anticevic, A., Krystal, J. H., Wang, X. J. and Murray, J. D. (2022) Effects of altered excitation-inhibition balance on decision making in a cortical circuit model. Journal of Neuroscience 42:1035-1053. https://doi.org/10.1523/JNEUROSCI.1371-20.2021
2021
Romaro, C., Najman, F. A., Lytton, W. W., Roque, A. C. and Dura-Bernal, S. (2021) NetPyNE implementation and scaling of the Potjans-Diesmann cortical microcircuit model. Neural Computation 33:1993–2032. https://doi.org/10.1162/neco_a_01400
Girardi-Schappo, M., Galera, E. F., Carvalho, T. T. A., Brochini, L., Kamiji, N. L., Roque, A. C. and Kinouchi, O. (2021) A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking. Journal of Physics: Complexity 2:045001. https://doi.org/10.1088/2632-072X/ac2792
Shimoura, R. O., Pena, R. F .O., Lima, V., Kamiji, N. L., Girardi-Schappo, M. and Roque, A. C. (2021) Building a model of the brain: from detailed connectivity maps to network organization. European Physical Journal Special Topics 230:2887–2909. https://doi.org/10.1140/epjs/s11734-021-00152-7
Yanchuk, S., Roque, A. C., Macau, E.E.N. and Kurths, J. (2021) Dynamical phenomena in complex networks: fundamentals and applications. European Physical Journal Special Topics 230:2711–2716. https://doi.org/10.1140/epjs/s11734-021-00282-y
Ceballos, C. C., Pena, R. F. O. and Roque, A. C. (2021) Impact of the activation rate of the hyperpolarization-activated current Ih on the neuronal membrane time constant and synaptic potential duration. European Physical Journal Special Topics 230:2951–2961. https://doi.org/10.1140/epjs/s11734-021-00176-z
Lima, V., Pena, R. F. O., Shimoura, R. O., Kamiji, N. L., Ceballos, C. C., Borges, F. S., Higa, G. S. V., De Pasquale, R. and Roque, A. C. (2021) Modeling and characterizing stochastic neurons based on in vitro voltage-dependent spike probability functions. European Physical Journal Special Topics 230:2963–2972. https://doi.org/10.1140/epjs/s11734-021-00160-7
Tejada, J. and Roque, A. C. Conductance-based models and the fragmentation problem: A case study based on hippocampal CA1 pyramidal cell models and epilepsy. Epilepsy & Behavior 121:106841. https://doi.org/10.1016/j.yebeh.2019.106841
Carvalho, T. T. A., Domingos, L. B., Shimoura, R. O., Kamiji, N. L., Cordeiro, V. L., Copelli, M. and Roque, A. C. (2021). [Re] Context-dependent encoding of fear and extinction memories in a large-scale network model of the basal amygdala. Rescience C 7:9. https://doi.org/10.5281/zenodo.5657320
Shimoura, R. O., Pena, R. F. O., Kamiji, N. L., Lima, V. and Roque, A. C. (2021) Modelos de redes de neurônios para o neocórtex e fenômenos emergentes observados. Revista Brasileira de Ensino de Física 43:e20200452. https://doi.org/10.1590/1806-9126-RBEF-2020-0452
2020
Stern, R. B., d’Alencar, M. S., Uscapi, Y. L., Gubitoso, M. D., Roque, A. C., Helene, A. F. and Piemonte, M. E. P. (2020) Goalkeeper game: a new assessment tool for prediction of gait performance under complex condition in people with Parkinson’s disease. Frontiers in Aging Neuroscience 12:50. https://doi.org/10.3389/fnagi.2020.00050
Borges, F. S., Protachevicz, P. R., Pena, R. F. O., Lameu, E. L., Higa, G. S. V., Kihara, A. H., Matias, F. S., Antonopoulos, C. G., de Pasquale, R., Roque, A. C., Iarosz, K. C., Ji, P. and Batista, A. M. (2020) Self-sustained activity of low firing rate in balanced networks. Physica A: Statistical Mechanics and its Applications 537:122671. https://doi.org/10.1016/j.physa.2019.122671
Pena, R. F. O., Ceballos, C. C., de Deus, J. L., Roque, A. C., Garcia-Cairasco, N., Leão, R. M. and Cunha, A. O. S. (2020) Modeling hippocampal CA1 Gabaergic synapses of audiogenic rats. International Journal of Neural Systems 30:2050022. https://doi.org/10.1142/S0129065720500227
Pena, R. F. O., Lima, V., Shimoura, R. O., Novato, J. P. and Roque, A. C. (2020) Optimal interplay between synaptic strengths and network structure enhances activity fluctuations and information propagation in hierarchical modular networks. Brain Sciences 10:228. https://doi.org/10.3390/brainsci10040228
Pinto, T. M., Schilstra, M. J., Roque, A. C. and Steuber, V. (2020) Binding of filamentous actin to CaMKII as potential regulation mechanism of bidirectional synaptic plasticity by β CaMKII in cerebellar Purkinje cells. Scientific Reports 10:9019. https://doi.org/10.1038/s41598-020-65870-9
Lima, V., Dellajustina, F. J., Shimoura, R. O., Girardi-Schappo, M., Kamiji, N. L., Pena, R. F. O. and Roque, A. C. (2020) Granger causality in the frequency domain: derivation and applications. Revista Brasileira de Ensino de Física 42:e20200007. https://doi.org/10.1590/1806-9126-RBEF-2020-0007
2019
Pena, R. F. O., Lima, V., Shimoura, R. O., Ceballos, C. C., Rotstein, H. G. and Roque, A. C. (2019) Asymmetrical voltage response in resonant neurons shaped by nonlinearities. Chaos 29:103135. https://doi.org/10.1063/1.5110033
2018
Antunes, G., Roque, A. C. and Simões-de-Souza, F. M. (2018) Molecular mechanisms of detection and discrimination of dynamic signals. Scientific Reports 8:2480. https://doi.org/10.1038/s41598-018-20842-y
Ceballos, C. C., Pena, R. F. O., Roque, A. C. and Leão, R. M. (2018). Non-decaying postsynaptics potentials and delayed spikes in hippocampal pyramidal neurons generated by a zero slope conductance created by the persistent Na+ current. Channels 12:81–88. https://doi.org/10.1080/19336950.2018.1433940
Pena, R. F. O., Vellmer, S., Bernardi, D., Roque, A. C. and Lindner, B. (2018) Self-consistent scheme for spike-train power spectra in heterogeneous sparse networks. Frontiers in Computational Neuroscience 12:9. https://doi.org/10.3389/fncom.2018.00009
Pena, R. F. O., Ceballos, C. C., Lima, V. and Roque, A. C. (2018) Interplay of activation kinetics and the derivative conductance determines resonance properties of neurons. Physical Review E 97:042408. https://link.aps.org/doi/10.1103/PhysRevE.97.042408
Shimoura, R. O., Kamiji, N. L., Pena, R. F. O., Cordeiro, V. L., Ceballos, C. C., Romaro, C. and Roque, A. C. (2018). [Re] The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Rescience 4(1). https://doi.org/10.5281/zenodo.1244116
Pena, R. F. O., Zaks, M. A. and Roque, A. C. (2018) Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise. Journal of Computational Neuroscience 45:1–28. https://doi.org/10.1007/s10827-018-0688-6
Cordeiro, V. L., Pena, R. F. O., Ceballos, C. A. C., Shimoura, R. O. and Roque, A. C. (2018) Aplicações da teoria da informação à neurociência. Revista Brasileira de Ensino de Física 41:e20180197. https://doi.org/10.1590/1806-9126-RBEF-2018-0197
Amorim, M. R., Pena, R. F. O., Souza, G. M. P. R., Bonagamba, L. G. H., Roque, A. C. and Machado, B. H. (2018) Firing properties of ventral medullary respiratory neurons in sino-aortic denervated rats. Experimental Physiology 104:39-49. https://doi.org/10.1113/EP087150
Cunha, A. O. S., Ceballos, C. C., de Deus, J. L., Pena, R. F. O., Oliveira, J. A. C., Roque, A. C., Garcia-Cairasco, N. and Leão, R. M. (2018) Intrinsic and synaptic properties of hippocampal CA1 pyramidal neurons of the Wistar audiogenic rat (WAR) strain, a genetic model of epilepsy. Scientific Reports 8:10412. https://doi.org/10.1038/s41598-018-28725-y
2017
Ceballos, C. C., Roque, A. C. and Leão, R. M. (2017) A negative slope conductance of the persistent sodium current prolongs subthreshold depolarizations. Biophysical Journal 113:2207 – 2217. https://doi.org/10.1016/j.bpj.2017.06.047
Ceballos, C. C., Roque, A. C. and Leão, R. M. (2017) The role of negative conductances in neuronal subthreshold properties and synaptic integration. Biophysical Reviews 9:827–834. https://doi.org/10.1007/s12551-017-0300-8
2016
Tomov P., Pena, R. F. O., Roque, A. C. and Zaks M. A. (2016) Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in Computational Neuroscience 10:23.
https://doi.org/10.3389/fncom.2016.00023
Antunes, G., Roque, A. C. and Simões de Souza, F. M. (2016) Stochastic induction of long-term potentiation and long-term depression. Scientific Reports 6:30899. https://doi.org/10.1038/srep30899
Antunes, G., Roque, A. C. and Simões de Souza, F. M. (2016) Modelling intracelular competition for calcium: kinetic and thermodynamic control of different molecular modes of signal decoding. Scientific Reports 6:23730. https://doi.org/10.1038/srep23730
Brochini, L., Costa, A. A., Abadi, M., Roque, A. C., Stolfi, J. and Kinouchi, O. (2016) Phase transitions and self-organized criticality in networks of stochastic spiking neurons. Scientific Reports 6:35831. https://doi.org/10.1038/srep35831
Ceballos, C. C., Li, S., Roque, A. C., Tzounopoulos, T. and Leão, R. M. (2016) Ih equalizes membrane input resistance in a heterogeneous population of fusiform neurons in the dorsal cochlear nucleus. Frontiers in Cellular Neuroscience 10:249. https://doi.org/10.3389/fncel.2016.00249
2014
Tejada, J., Garcia-Cairasco, N. and Roque, A. C. (2014) Combined role of seizure-induced dendritic morphology alterations and spine loss in newborn granule cells with mossy fiber sprouting on the hyperexcitability of a computer model of the dentate gyrus. PLoS Computational Biology 10:e1003601. https://doi.org/10.1371/journal.pcbi.1003601
Tomov, P., Pena, R. F. O., Zaks, M. A. and Roque, A. C. (2014) Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in Computational Neuroscience 8:103. https://doi.org/10.3389/fncom.2014.00103
Costa, A. A., Morato, S., Roque, A. C. and Tinós, R. (2014) A computational model for exploratory activity of rats with different anxiety levels in elevated plus-maze. Journal of Neuroscience Methods 236:44-50. https://doi.org/10.1016/j.jneumeth.2014.08.006
Simões de Souza, F. M., Antunes, G. and Roque, A. C. (2014) Electrical responses of three classes of granule cells of the olfactory bulb to synaptic inputs in different dendritic locations. Frontiers in Computational Neuroscience 8:128. https://doi.org/10.3389/fncom.2014.00128
Comin, C. H., Tejada, J., Viana, M. P., Roque, A. C. and Costa, L. F. (2014). Archetypes and outliers in the neuromorphological space. In: Cuntz, H., Remme, M. and Torben-Nielsen, B. (eds) The Computing Dendrite. Springer Series in Computational Neuroscience, vol 11. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8094-5_3
2013
Arruda, D., Publio, R. and Roque, A. C. (2013) The periglomerular cell of the olfactory bulb and its role in controlling mitral cell spiking: a computational model. PLoS ONE 8:e56148. https://doi.org/10.1371/journal.pone.0056148
Arantes, R., Tejada, J., Bosco, G. G., Morato, S. and Roque, A. C. (2013) Mathematical methods to model rodent behavior in the elevated plus-maze. Journal of Neuroscience Methods 220:141-148. https://doi.org/10.1016/j.jneumeth.2013.04.022
Roque, A. C. (2013) Foreword to the special issue on LASCON 2012. Journal of Neuroscience Methods 220:99. https://doi.org/10.1016/j.jneumeth.2013.10.013
2012
Publio, R., Ceballos, C. C. and Roque, A. C. Dynamic range of vertebrate retina ganglion cells: importance of active dendrites and coupling by electrical synapses. PLoS ONE 7:e48517. https://doi.org/10.1371/journal.pone.0048517
Tejada, J., Arisi, G. M., Garcia-Cairasco, N. and Roque, A. C. (2012) Morphological alterations in newly born dentate gyrus granule cells that emerge after status epilepticus contribute to make them less excitable. PLoS ONE 7:e40726. https://doi.org/10.1371/journal.pone.0040726
Costa, A. A., Roque, A. C., Morato, S. and Tinós, R. (2012). A model based on genetic algorithm for investigation of the behavior of rats in the elevated plus-maze. In: Yin, H., Costa, J. A. F. and Barreto, G. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2012. Lecture Notes in Computer Science, vol 7435. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32639-4_19
2011
Figueira, L. B. and Roque, A. C. (2011). Pattern recognition using a recurrent neural network inspired on the olfactory bulb. In: Ferrández, J. M., Álvarez Sánchez, J. R., de la Paz, F. and Toledo, F. J. (eds) New Challenges on Bioinspired Applications. IWINAC 2011. Lecture Notes in Computer Science, vol 6687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21326-7_30
2010
Tejada, J., Bosco, G. G., Morato, S. and Roque, A. C. (2010) Characterization of the rat exploratory behavior in the elevated plus-maze with Markov chains. Journal of Neuroscience Methods 193:288-295. https://doi.org/10.1016/j.jneumeth.2010.09.008
2009
Publio, R., Oliveira, R. F. and Roque, A. C. (2009) A computational study on the role of gap junctions and rod Ih conductance in the enhancement of the dynamic range of the retina. PLoS ONE 4:e6970. https://doi.org/10.1371/journal.pone.0006970
Tejada, J., Bosco, G. G., Morato, S. and Roque, A. C. (2009) Characterization of rat behavior in the elevated plus-maze using a directed graph. Journal of Neuroscience Methods 184:251-255, 2009. https://doi.org/10.1016/j.jneumeth.2009.08.009
2008
Kinouchi, O, Garcia, R, W. D., Holanda, A. J., Zambianchi, P. and Roque, A. C. (2008) The non-equilibrium nature of culinary evolution. New Journal of Physics 10:073020. https://doi.org/10.1088/1367-2630/10/7/073020
2007
Estombelo-Montesco, C. A., de Araújo, D. B., Roque, A. C., Moraes, E. R., Barros, A. K., Wakai, R. and Baffa, O. (2007) Dependent component analysis for the magnetogastrographic detection of human electrical response activity. Physiological Measurement 28:1029-1044. https://doi.org/10.1088/0967-3334/28/9/005
Estombelo-Montesco, C. A., de Araújo, D. B., Roque, A. C., Moraes, E. R., Barros, A. K., Wakai, R. and Baffa, O (2007). Extraction of gastric electrical response activity from magnetogastrographic recordings by DCA. In: Davies, M. E., James, C. J., Abdallah, S. A. and Plumbley, M. D. (eds) Independent Component Analysis and Signal Separation. ICA 2007. Lecture Notes in Computer Science, vol 4666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74494-8_73
2006
de Pinho, M., Mazza, M. and Roque, A. C. 92006) A computational model of the primary auditory cortex exhibiting plasticity in the frequency representation. Neurocomputing 70:3-8. https://doi.org/10.1016/j.neucom.2006.07.004
Publio, R. and Roque, A. C. (2006) A realistic model of rod photoreceptor for use in a retina network model. Neurocomputing 69:1020-1024. https://doi.org/10.1016/j.neucom.2005.12.037
2005
Copelli, M., Oliveira, R. F., Roque A. C. and Kinouchi, O. (2005) Signal compression in the sensory periphery. Neurocomputing 65-66:691-696. https://doi.org/10.1016/j.neucom.2004.10.099
Oliveira, R. F., Costa, L. F. and Roque, A. C. (2005) A possible mechanism of curvature coding in early vision. Neurocomputing 65-66:117-124. https://doi.org/10.1016/j.neucom.2004.10.064
de Araújo, D. B., Barros, A. K., Estombelo-Montesco, C., Zhao, H., Roque, A. C., Baffa, O., Wakai, R. and Ohnishi, N. (2005) Fetal source extraction from magnetocardiographic recordings by dependent component analysis. Physics in Medicine and Biology 50:4457-4464. http://doi.org/10.1088/0031-9155/50/19/002
2004
Mazza, M., de Pinho M., Piqueira, J. R. C. and Roque, A. C. (2004) A dynamical model of fast cortical reorganization. Journal Of Computational Neuroscience 16:177-201. https://doi.org/10.1023/B:JCNS.0000014109.83574.78
Simões-de-Souza, F. M. and Roque, A. C. (2004) Self-sustained waves in a computational model of the olfactory epithelium with gap junctions. Neurocomputing 58-60:1033-1039. https://doi.org/10.1016/j.neucom.2004.01.163
Simões-de-Souza, F. M. and Roque, A. C. (2004) A biophysical model of vertebrate olfactory epithelium and bulb exhibiting gap junction dependent odor-evoked spatiotemporal patterns of activity. Biosystems 73:25-43. https://doi.org/10.1016/j.biosystems.2003.08.002
2003
Antunes, G., Simões-de-Souza, F. M. and Roque, A. C. (2003) Sensitivity of AMPA receptor channel to calcium oscillations: a computational study. Neurocomputing 52-54:341-346. https://doi.org/10.1016/S0925-2312(02)00828-7
Salum, C., Roque-da-Silva, A. C. and Morato, S. (2003) Conflict as a determinant of rat behavior in three types of elevated plus-maze. Behavioural Processes 63:87-93. https://doi.org/10.1016/S0376-6357(03)00034-2
2002
Copelli, M., Roque, A. C., Oliveira, R. F. and Kinouchi, O. (2002) Physics of psycophysics: Stevens and Weber-Fechner laws are transfer functions of excitable media. Physical Review E 65:060901(R). https://doi.org/10.1103/PhysRevE.65.060901
Roque, A. C. and André, T. C. S. S. (2002) Mammography and computerized decision systems: a review. Annals of the New York Academy of Sciences 980:83-94. https://doi.org/10.1111/j.1749-6632.2002.tb04890.x
Simões-de-Souza, F. M. and Roque, A. C. (2002) Simulation of a vertebrate receptor cell of the olfactory epithelium for use in network models. Neurocomputing 44-46:177-182. https://doi.org/10.1016/S0925-2312(02)00387-9
Oliveira, R. F. and Roque, A. C. (2002) A biologically plausible neural network model of the primate primary visual system. Neurocomputing 44-46:957-963. https://doi.org/10.1016/S0925-2312(02)00497-6
Mazza, M., de Pinho, M., Piqueira, J. R. C. and Roque, A. C. (2002) Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system. Neurocomputing 44-46:923-928. https://doi.org/10.1016/S0925-2312(02)00492-7
de Pinho, M., Mazza, M., Piqueira, J. R. C. and Roque, A. C. (2002) Shannon’s entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning. Neurocomputing 44-46:359-364. https://doi.org/10.1016/S0925-2312(02)00382-X
2001
Santana, U. J., Roque-da-Silva, A. C., Duarte, T. T. and Corrêa, S. A. L. (2001) Interference with the GABAergic system in the dorsolateral telencephalon and modulation of the electric organ discharge frequency in the weakly electric fish Gymnotus carapo. Journal of Comparative Physiology A 187:925-933. https://doi.org/10.1007/s00359-001-0266-6
Kuva, S. M., Lima, G. F., Kinouchi, O., Tragtenberg, M. and Roque, A. C. (2001) A minimal model for excitable and bursting elements. Neurocomputing 38-40:255-261. https://doi.org/10.1016/S0925-2312(01)00376-9
Mazza, M., de Pinho, M. and Roque, A. C. (2001) Alterations of maps induced by blockage of synaptic receptors in a computer simulation of the somatosensory system. Neurocomputing 38-40:1453-1459. https://doi.org/10.1016/S0925-2312(01)00526-4
de Pinho, M., Mazza, M. and Roque, A. C. (2001) A realistic model of tonotopic reorganization in the auditory cortex in response to cochlear lesions. Neurocomputing 38-40:1169-1174. https://doi.org/10.1016/S0925-2312(01)00555-0
2000
Salum, C., Morato, S. and Roque da Silva, A. C. (2000) Anxiety-like behavior in rats: a computational model. Neural Networks 13:21-29. https://doi.org/10.1016/S0893-6080(99)00099-4
de Pinho, M., Mazza, M. and Roque, A. C. (2000) A biologically plausible computational model of classical conditioning induced reorganization of tonotopic maps in the auditory cortex. Neurocomputing 32-33:685-691. https://doi.org/10.1016/S0925-2312(00)00233-2
Mazza, M. and Roque, A. C. (2000) Realistic computer simulation of cortical lesion induced imbalances in properties of somatotopic maps. Neurocomputing 32-33:453-459. https://doi.org/10.1016/S0925-2312(00)00199-5
1999
Mazza, M., de Pinho, M. and Roque, A. C. (1999) Biologically plausible models of topographic map formation in the somatosensory and auditory cortices. International Journal of Neural Systems 9:265-271. https://doi.org/10.1142/S0129065799000277
Salum, C., Roque da Silva, A. C. and Pickering, A. D. (1999) Striatal dopamine in attentional learning: a computational model. Neurocomputing 26-27:845-854. https://doi.org/10.1016/S0925-2312(98)00129-5
de Pinho, M. and Roque da Silva, A. C. (1999) A realistic computational model of formation and variability of tonotopic maps in the auditory cortex. Neurocomputing 26-27:355-359. https://doi.org/10.1016/S0925-2312(99)00024-7
Mazza, M. and Roque da Silva, A. C. (1999) Computational model of topographic reorganization in somatosensory cortex in response to digit lesions. Neurocomputing 26-27:435-441. https://doi.org/10.1016/S0925-2312(99)00049-1
1998
Silva, R. and Roque da Silva, A. C. (1998) Medical diagnosis as a neural networks pattern classification problem. In: Ifeachor, E. C., Sperduti, A. and Starita, A. (Eds.) Neural Networks and Expert Systems in Medicine and Healthcare. World Scientific, Singapore, pp.25-33. https://doi.org/10.1142/3913
1997
Salum, C., Morato, S. and Roque-da-Silva-Filho, A. C. (1997). Modelling rat behavior in an elevated plus-maze confronted with experimental data. In: Bower, J. M. (ed) Computational Neuroscience. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9800-5_126
1992
Roque da Silva Filho, A. C. (1992) Analysis of equilibrium properties of a continuous neural network made of excitatory and inhibitory neurons. Network: Computation in Neural Systems 3:303-321. https://doi.org/10.1088/0954-898X_3_3_004