Click here for my Google Scholar page!
Papers
E. Baspinar, G. Cecchini, M. DePass, M. Andujar, P. Pani, S. Ferraina, R. Moreno-Bote, I. Cos, A. Destexhe, A biologically plausible decision-making model based on interacting neural populations, preprint (2025), bioRxiv, HAL, code (Python), online simulations on EBRAINS
E. Baspinar, M. Simonti, H. Srour, M. Desroches, D. Avitabile, M. Mantegazza, GABAergic neurons can facilitate the propagation of cortical spreading depolarization: experiments in mouse neocortical slices and a novel neural field computational model, PLOS Comp. Biology (2025), DOI, bioRxiv, code (Matlab)
G. Cecchini, M. DePass, E. Baspinar, M. Andujar, S. Ramawat, P. Pani, S. Ferraina, A. Destexhe, R. Moreno-Bote, I. Cos, Cognitive mechanisms of learning in sequential decision-making under uncertainty: an experimental and theoretical approach, Front. Behav. Neuroscience (2024), DOI, bioRxiv
A. Turan, E. Baspinar, A. Destexhe, A whole brain model of auditory discrimination, preprint (2023), bioRxiv, HAL
E. Baspinar, D. Avitabile, M. Desroches, Network torus canards and their mean-field limits, preprint (2022), HAL, code (Matlab)
E. Baspinar, Multi-frequency image completion via a biologically-inspired sub-Riemannian model with frequency and phase, Journal of Imaging (2021), DOI, arXiv, HAL, code (Matlab)
E. Baspinar, D. Avitabile, M. Desroches, Chaos (2021), Canonical models of torus canards in elliptic bursters, DOI, arXiv, HAL
E. Baspinar, L. Calatroni, V. Franceschi, D. Prandi, Journal of Imaging (2021), A cortical-inspired sub-Riemannian model for Poggendorff-type visual illusions, DOI, arXiv, HAL, code (Julia)
E. Baspinar, L. Schülen, S. Olmi, A. Zakharova, Physical Review E (2021), Coherence resonance in neuronal populations: mean-field versus network model, DOI, arXiv, HAL
E. Baspinar, A. Sarti, G. Citti, The Journal of Mathematical Neuroscience (2020), A sub-Riemannian model of the visual cortex with frequency and phase, DOI, arXiv, HAL
E. Baspinar, G. Citti, SIAM Journal on Mathematical Analysis (2019), Uniqueness of viscosity mean curvature flow solution in two sub-Riemannian structures, DOI, arXiv, HAL
E. Baspinar, G. Citti, A. Sarti, Journal of Mathematical Imaging and Vision (2018), A geometric model of multi-scale orientation preference maps via Gabor functions, DOI, arXiv, HAL
E. Baspinar, G. Citti, A. Sarti, A diffusion driven curvature flow, preprint, arXiv
Thesis
E. Baspinar, PhD thesis, Minimal surfaces in sub-Riemannian structures and functional geometry of the visual cortex, link
E. Baspinar, Master thesis, Curve reconstruction via sub-Riemannian geometry and its applications in retinal vessel tracking, link
Posters
E. Baspinar, G. Cecchini, M. DePass, M. Andujar, P. Pani, S. Ferraina, R. Moreno-Bote, I. Cos, A. Destexhe, A biologically plausible decision making model, NeuroPSI Opening Days, May 2023, Paris-Saclay, poster, abstract
E. Baspinar, G. Cecchini, M. DePass, M. Andujar, P. Pani, S. Ferraina, R. Moreno-Bote, I. Cos, A. Destexhe, A biologically plausible decision making model, HBP Summit 2023, March 2023, Marseille, poster, abstract
E. Baspinar, G. Cecchini, M. DePass, I. Cos, R. Moreno-Bote, A. Destexhe, Biophysically realistic AdEx mean-field model for reward-driven consequential decision-making, FENS 2022 (Federation of European Neuroscience Societies 2022), July 2022, Paris, poster, abstract
G. Cecchini, E. Baspinar, M. DePass, A. Destexhe, R. Moreno-Bote, I. Cos, Mean-field model of reward-driven decision-making, Symposium on Biology of Decision-Making 2021 (SBDM 2021), virtual due to pandemic, link
E. Baspinar, G. Citti, A. Sarti, A sub-Riemannian model of the visual cortex based on frequency-phase and its applications, International Conference on Mathematical Neuroscience 2019 (ICMNS 2019), June 2019, Paris, poster, abstract
E. Baspinar, R. Duits, B. ter Haar Romeny, Curve reconstruction via sub-Riemannian geometry and its application to retinal vessel tracking, Biomedical Engineering Research Days 2013, May 2013, Eindhoven
Work in progress
E. Baspinar with A. Turan, A. Destexhe, AdEx mean-field model in The Virtual Brain (TVB) for the neuronal dynamics of auditory discrimination at whole-brain scale
E. Baspinar with D. Avitabile, L. Calatroni, V. Franceschi and D. Prandi, Nilpotent approximation of sub-Riemannian diffusion embedded in neural field models for visual illusion dynamics
E. Baspinar with D. Avitabile, M. Desroches and O. Faugeras, Fenichel theory for mean-field limits of FitzHugh-Nagumo neuronal networks