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Filters: Author is Maik Schünemann [Clear All Filters]

2019

Schünemann, M., Keßeböhmer, M. & Ernst, U. Exact avalance distributions for inhomogenous networks of non-leaky integrate and fire neurons. Bernstein Conference (2019).

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Schünemann, M., Rausch, L. - P., Drebitz, E., Harnack, D., Ernst, U. & Kreiter, A. Unexpectedly strong attentional modulation of V1/V2 activity implements a robust, contrastinvariant control mechanism for selective information processing. Bernstein Conference (2019).

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bccn_Schuenemann_2019.pdf (251.85 KB)

2018

Schünemann, M., Tömen, N. & Ernst, U. Cortical information integration with critical subnetworks: Large capacity, high accuracy, and rapid detection. BMC Neuroscience 2018 (2018).

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Schünemann, M., Tömen, N. & Ernst, U. Cortical information integration with critical subnetworks: Large capacity, high accuracy, and rapid detection. Bernstein Conference 2018 (2018).

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2017

Schünemann, M., Tömen, N. & Ernst, U. Critical subnetworks for feature integration. Bernstein Conference 2017 (2017).

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BCCN_2017_Schuenemann et al.pdf (29.68 KB)

Harnack, D., Laminski, E., Schünemann, M. & Pawelzik, K. Topological causality in dynamical systems. Physical Review Letters 119, 098301, (2017).

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PhysRevLett.119.098301.pdf (899.59 KB)

topological_causality_KP5_DH11_MS5_EL2_supplement_alt.pdf (731.89 KB)