Publications

(2023). Functional microcircuits in the brain and in artificial intelligent systems. Frontiers in Computational Neuroscience.

(2023). Limits on the nuclearite flux using the ANTARES neutrino telescope. Journal of Cosmology and Astroparticle Physics.

(2022). Constraints on persistent activity in a biologically detailed network model of the prefrontal cortex with heterogeneities. Progress in Neurobiology.

(2022). Combined sensitivity of JUNO and KM3NeT/ORCA to the neutrino mass ordering. Journal of High Energy Physics.

(2022). Determining the neutrino mass ordering and oscillation parameters with KM3NeT/ORCA. The European Physical Journal C.

(2021). Deep learning reconstruction in ANTARES. Journal of Instrumentation.

(2021). Search for Magnetic Monopoles with ten years of the ANTARES neutrino telescope. Journal of High Energy Astrophysics.

(2021). The KM3NeT potential for the next core-collapse supernova observation with neutrinos. The European Physical Journal C.

(2021). Implementation and first results of the KM3NeT real-time core-collapse supernova neutrino search. The European Physical Journal C.

(2020). Sensitivity to light sterile neutrino mixing parameters with KM3NeT/ORCA. Journal of High Energy Physics.

(2020). Prefrontal oscillations modulate the propagation of neuronal activity required for working memory. Neurobiology of Learning and Memory.

(2019). Biased competition in the absence of input bias revealed through corticostriatal computation. Proceedings of the National Academy of Sciences.

(2019). Feature-specific prediction errors and surprise across macaque fronto-striatal circuits. Nature communications.

(2018). Flexible resonance in prefrontal networks with strong feedback inhibition. PLoS Computational Biology.

(2018). DynaSim: A MATLAB Toolbox for Neural Modeling and Simulation. Frontiers in Neuroinformatics.

(2017). A computational psychiatry approach identifies how alpha-2A noradrenergic agonist Guanfacine affects feature-based reinforcement learning in the macaque. Scientific reports.

(2016). Attentional Selection Can Be Predicted by Reinforcement Learning of Task-relevant Stimulus Features Weighted by Value-independent Stickiness. Journal of Cognitive Neuroscience.

(2016). Neuroswarm: a methodology to explore the constraints that function imposes on simulation parameters in large-scale networks of biological neurons. Uncertainty in Biology.

(2015). Anterior Cingulate Cortex Cells Identify Process-Specific Errors of Attentional Control Prior to Transient Prefrontal-Cingulate Inhibition. Cerebral Cortex.

(2015). Mapping of functionally characterized cell classes onto canonical circuit operations in primate prefrontal cortex. Journal of Neuroscience.

(2014). Burst firing synchronizes prefrontal and anterior cingulate cortex during attentional control. Current Biology.

(2014). “Adaptive learning” as a mechanistic candidate for reaching optimal task-set representations flexibly". BMC Neuroscience.

(2014). The “tweaking principle” for task switching. BMC Neuroscience.

(2013). A tweaking principle for executive control: neuronal circuit mechanism for rule-based task switching and conflict resolution. Journal of Neuroscience.

(2013). Subnetwork selection in deep cortical layers is mediated by beta-oscillation dependent firing. Frontiers in Systems Neuroscience.

(2011). What Can Tracking Fluctuations in Dozens of Sensory Neurons Tell about Selective Attention?. Frontiers in Systems Neuroscience.

(2010). Reconciling coherent oscillation with modulation of irregular spiking activity in selective attention: gamma-range synchronization between sensory and executive cortical areas. Journal of Neuroscience.

(2007). An integrated microcircuit model of attentional processing in the neocortex. Journal of Neuroscience.