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24 records in 5.850 seconds (source: PEOPLE)
Journal articles
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Bi H., Di Volo M., and Torcini A. (2021) “Asynchronous and Coherent Dynamics in Balanced Excitatory-Inhibitory Spiking Networks”, Frontiers in systems neuroscience, published by Frontiers Research Foundation, Lausanne, Svizzera, vol. 15, pp. 752261-1-752261-20.
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Coppolino S., Giacopelli G., and Migliore M. (2021) “Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry”, IEEE Transactions on Neural Networks and Learning Systems, published by Institute of Electrical and Electronics Engineers,-New York, NY, USA, Stati Uniti d'America.
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Trimarco E., Mirino P., and Caligiore D. (2021) “Cortico-Cerebellar Hyper-Connections and Reduced Purkinje Cells Behind Abnormal Eyeblink Conditioning in a Computational Model of Autism Spectrum Disorder”, Frontiers in systems neuroscience, published by Frontiers Research Foundation, Lausanne, Svizzera, vol. 15, pp. 1-14.
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Arena P., Cali M., Patane L., Portera A., and Spinosa A. G. (2019) “A CNN-based neuromorphic model for classification and decision control”, Nonlinear dynamics (Dordr., Online), published by Kluwer, Dordrecht, Paesi Bassi, vol. 95, pp. 1999-2017.
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Caligiore D., Mannella F., and Baldassarre G. (2019) “Different dopaminergic dysfunctions underlying parkinsonian akinesia and tremor”, Frontiers in neuroscience (Online), published by Frontiers Research Foundation, Lausanne, Svizzera, vol. 13.
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Luccioli S., Angulo Garcia D., and Torcini A. (2019) “Neural activity of heterogeneous inhibitory spiking networks with delay”, Physical review. E (Print), published by American Physical Society, Ridge, NY, Stati Uniti d'America, vol. 99.
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Ullner E., Politi A., and Torcini A. (2018) “Ubiquity of collective irregular dynamics in balanced networks of spiking neurons”, Chaos (Woodbury N. Y.), Torcini A. (ed.), published by American Institute of Physics, Woodbury, NY, Stati Uniti d'America, vol. 28, pp. 081106-1-081106-5.
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Pittorino F., Ibanez Berganza M., Di Volo M., Vezzani A., and Burioni R. (2017) “Chaos and Correlated Avalanches in Excitatory Neural Networks with Synaptic Plasticity”, Physical review letters, Vezzani A. (ed.), published by American Physical Society, College Park, MD, Stati Uniti d'America, vol. 118, pp. 098102-1-098102-5.
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Bonacini E., Burioni R., Di Volo M., Groppi M., Soresina C., and Vezzani A. (2016) “How single node dynamics enhances synchronization in neural networks with electrical coupling”, Chaos, solitons and fractals, published by Pergamon., Oxford, Regno Unito, vol. 85, pp. 32-43.
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Chersi F., Mirolli M., Pezzulo G., and Baldassarre G. (2013) “A spiking neuron model of the cortico-basal ganglia circuits for goal-directed and habitual action learning”, Neural networks, published by Pergamon, New York, Stati Uniti d'America, vol. 41, pp. 212-224.
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Ciszak M., Euzzor S., Arecchi F. T., and Meucci R. (2013) “Experimental study of firing death in a network of chaotic FitzHugh-Nagumo neurons”, Physical review. E, Statistical, nonlinear, and soft matter physics (Print), published by Published by the American Physical Society through the American Institute of Physics, Melville, NY, Stati Uniti d'America, vol. 87, pp. 022919-022919.
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Houghton C. and Kreuz T. (2012) “On the efficient calculation of van Rossum distances”, Network (Bristol. Print), published by Informa Healthcare, [London], Regno Unito, vol. 23, pp. 48-58.
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Biella G. E. M., Liberati D., Storchi R., and Baselli G. (2009) “Extraction and Characterization of Essential Discharge Patterns from Multisite Recordings of Spiking Ongoing Activity”, PloS one, published by Public Library of Science, San Francisco, CA, Stati Uniti d'America.
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Storchi R., Biella G. E. M., Liberati D., and Baselli G. (2009) “Extraction and characterization of essential discharge patterns from multisite recordings of spiking ongoing activity”, PloS one, published by Public Library of Science, San Francisco, CA, Stati Uniti d'America, vol. 4, e4299 pages.
View web resources15
Amit D. and Romani S. (2007) “Search for fMRI BOLD signals in networks of spiking neurons”, European journal of neuroscience (Print), published by Published on behalf of the European Neuroscience Association by Oxford University Press, Oxford, Regno Unito, vol. 25, pp. 1882-1892.
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Migliore M., Cannia C., Lytton W. W., Markram H., and Hines M. L. (2006) “Parallel Network simulations with NEURON”, Journal of computational neuroscience, published by Kluwer Academic Publishers, Boston, Stati Uniti d'America, vol. 21, pp. 119-129.
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Romani S., Amit D., and Mongillo G. (2006) “Mean-field analysis of selective persistent activity in presence of short-term synaptic depression”, Journal of computational neuroscience, published by Kluwer Academic Publishers, Boston, Stati Uniti d'America, vol. 20, pp. 201-217.
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Zillmer R., Livi R., Politi A., and Torcini A. (2006) “Desynchronization in diluted neural networks”, Physical review. E, Statistical, nonlinear, and soft matter physics (Print), published by Published by the American Physical Society through the American Institute of Physics, Melville, NY, Stati Uniti d'America, vol. 74, 036203 pages.
View web resources19
Rodriguez R., Lansky P., and Di Maio V. (2003) “Vesicular mechanisms and estimates of firing probability in a network of spiking neurons”, Physica. D, Nonlinear phenomena (Print), published by North-Holland, Amsterdam, Paesi Bassi, vol. 181, pp. 132-145.
Conference papers
View web resources20
Ciszak M., Euzzor S., Arecchi F. T., and Meucci R. (2013) “Control of dynamical states in a network: firing death and multistability”, 6th International Conference on Physics and Control (PhysCon 2013), San Luis Potosi, Mexico, 26-29th August 2013.
View web resourcesView DOI resources21
Chella A., Rizzo R., and Oliveri A. (2007) “An Application of Spike-Timing-Dependent Plasticity to Readout Circuit for Liquid State Machine”, ISBN 978-1-4244-1379-9, IEEE International Joint Conference on Neural Networks, Orlando, USA, 12-17 August 2007, published by IEEE, New York, USA, pp. 1441-1445.
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Riano L., Rizzo R., and Chella A. (2006) “A new Unsupervised Neural Network for Pattern Recognition with Spiking Neurons”, ISBN 0-7803-9490-9, IEEE International Joint Conference on Neural Networks. IJCNN '06, Vancouver, 16-21 July 2006, published by IEEE Computer Society, Washington, DC, USA, pp. 3903-3910.
View web resources23
Rodriguez R., Lansky P., and Di Maio V. (2002) “Vesicular mechanisms and estimates of firing probability in a network of spiking neurons”, ECMTB2002, Milano, 2002.
Conference contributions
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Caligiore, Daniele, and Pierandrea M. (2021) “How the cerebellum and prefrontal cortex cooperate during associative learning”, International Neuroinformatics Coordinating Facility (INCF) Assembly, 21/04/2021.
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