PDFs for selected articles/preprints:

  • Lansky P, Sanda P, He JF: The parameters of the stochastic leaky integrate-and-fire neuronal model. Journal of Computational Neuroscience, 21: 211-223, 2006.
  • Lansky P, Sanda P, Weiss M: Modeling the influence of non-adherence on antibiotic efficacy: application to ciprofloxacin. International Journal of Clinical Pharmacology and Therapeutics, 45: 438-447, 2007.
  • Lansky P, Sanda P, He JF: Effect of stimulation on the input parameters of stochastic leaky integrate-and-fire neuronal model. Journal of Physiology - Paris, 104: 160-166, 2010.
  • Sanda P, Marsalek P: Stochastic Interpolation Model of the Medial Superior Olive Neural Circuit. Brain Research, 1434: 257-265, 2012. Supplement.
  • Rospars JP, Sanda P, Lansky P, Duchamp-Viret P: Responses of single neurons and neuronal ensembles in frog first- and second-order olfactory neurons. Brain Research, 1536: 144-158, 2013.
  • Kee T, Sanda P, Gupta N, Stopfer M, Bazhenov M: Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit. PLoS Comput Biol, 11: e1004531, 2015.
  • Sanda P, Kee T, Gupta N, Stopfer M, Bazhenov M: Classification of odorants across layers in locust olfactory pathway. J Neurophysiol, 115: 2303-2316, 2016.
  • Sanda P, Skorheim S, Bazhenov M: Multi-layer Network Utilizing Rewarded Spike Time Dependent Plasticity to Learn a Foraging Task. PLoS Comput Biol, 13(9): e1005705, 2017. (pdf).
  • Rosen BQ, Krishnan G, Sanda P, Komarov M, Sejnowski T, Rulkov N, Ulbert I, Eross L, Madsen J, Devinsky O, Doyle W, Fabo D, Cash S, Bazhenov M, Halgren E: Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamics. Journal of Neuroscience Methods, 316: 46-57, 2019. doi.
  • Marsalek P, Sanda P, Bures Z: On the precision of neural computation with interaural time differences in the medial superior olive. arXiv preprint arXiv:2007.00524. Preprint (pdf), 2020.
  • Sanda P, Malerba P, Jiang X, Krishnan G, Gonzalez-Martinez J, Halgren E, Bazhenov M: Bidirectional interaction of hippocampal ripples and cortical slow waves leads to coordinated spiking activity during NREM Sleep. Cerebral Cortex, 31:324-340, 2021. Preprint (pdf).
  • Škoch A, Mareš J, Bučková BR, Tintěra J, Sanda P, Jajcay L, Horáček J, Španiel F, Hlinka J: Human brain structural connectivity matrices - ready for modelling. Scientific Data, 9: 486, 2022. Repository.
  • Pidnebesna A, Sanda P, Kalina A, Hammer J, Marusic P, Vlcek K, Hlinka J: Tackling the challenges of group network inference from intracranial EEG data. Frontiers in Neuroscience, 16:1061867, 2022.
  • Golden R, Delanois JE, Sanda P, Bazhenov M: Sleep prevents catastrophic forgetting in spiking neural networks by forming joint synaptic weight representations. PLoS Comput Biol, 18(11): e1010628, 2022. (pdf).
  • Fink CG, Sanda P, Bayer L, Abeysinghe E, Bazhenov M, Krishnan G: Python/NEURON code for simulating biophysically realistic thalamocortical dynamics during sleep. Software Impacts, 100667, 2024. ModelDB, doi.
  • Sanda P, Hlinka J, van den Berg M, Skoch A, Bazhenov M, Keliris GA, Krishnan G: Cholinergic modulation supports dynamic switching of resting state networks through selective DMN suppression. PLoS Comput Biol, 20(6): e1012099, 2024. Supplement, ModelDB, doi.
  • Kořenek J, Sanda P, Hlinka J: Higher order definition of causality by optimally conditioned transfer entropy. Physical Review E 111, L042302, 2025. ModelDB, doi.

    • Current contact: sanda@cs.cas.cz , web of our group.