PLoS Computational Biology

Authors Shahidi N, Rozenblit F, Khani MH, Schreyer HM, Mietsch M, Protti DA, Gollisch T Journal PLoS Computational Biology Citation PLoS Comput Biol. 2025 May 2;21(5):e1013031. Abstract The dichotomy of excitation and suppression is one of the canonical mechanisms explaining the complexity of neural activity. Computational models of the interplay

Authors Krüppel S, Khani MH, Schreyer HM, Sridhar S, Ramakrishna V, Zapp SJ, Mietsch M, Karamanlis D, Gollisch T Journal PLoS Computational Biology Citation PLoS Comput Biol. 2024 Sep 3;20(9):e1012370. Abstract Spatially nonlinear stimulus integration by retinal ganglion cells lies at the heart of various computations performed by the retina.

Authors Rudelt L, González Marx D, Spitzner FP, Cramer B, Zierenberg J, Priesemann V. Journal PLoS Computational Biology Citation PLoS Comput Biol. 2024 Aug 22;20(8):e1012355. Abstract A core challenge for the brain is to process information across various timescales. This could be achieved by a hierarchical organization of temporal processing

Authors Pinheiro Neto J, Spitzner FP, Priesemann V Journal PLoS Computational Biology Citation PLoS Comput Biol 18(11): e1010678. Abstract To date, it is still impossible to sample the entire mammalian brain with single-neuron precision. This forces one to either use spikes (focusing on few neurons) or to use coarse-sampled activity

Authors Liu JK, Karamanlis D, Gollisch T Journal PLoS Computational Biology Citation PLoS Comput Biol. 2022 Mar 8;18(3):e1009925. Abstract A central goal in sensory neuroscience is to understand the neuronal signal processing involved in the encoding of natural stimuli. A critical step towards this goal is the development of successful

Authors Salfer M, Collado JF, Baumeister W, Fernández-Busnadiego R, Martínez-Sánchez A Journal PLoS Computational Biology Citation PLoS Comput Biol. 2020 Aug 10;16(8):e1007962. Online ahead of print. Abstract Curvature is a fundamental morphological descriptor of cellular membranes. Cryo-electron tomography (cryo-ET) is particularly well-suited to visualize and analyze membrane morphology in a