Emmanouil Giannakakis

Sep 29, 2024 · Bernstein Conference 2024 · Poster

Dendritic nonlinearities and synapse type-specific input clustering enable the development of input selectivity in a wide range of settings.

Computational Neuroscience

Sep 29, 2024 · Bernstein Conference 2024 · Poster

Effective excitability: a determinant of the network bursting dynamics revealed by parameter invariance

Computational Neuroscience

Sep 29, 2024 · Bernstein Conference 2024 · Poster

Unsupervised clustering of burst shapes reveals the increasing complexity of developing networks in vitro

Computational Neuroscience

Mar 10, 2023 · COSYNE 2023 · Poster

Synaptic-type-specific clustering optimizes the computational capabilities of balanced recurrent networks

University of Tubingen; Department of Computer Science

Computational Neuroscience

Mar 18, 2022 · COSYNE 2022 · Poster

Clustered recurrent connectivity promotes the development of E/I co-tuning via synaptic plasticity

University of Tübingen

Computational Neuroscience