574 citations · 920 across the 15 of their papers we have counts for
15 papers
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis +3
Recurrent neural networks (RNNs) in the brain and in silico excel at solving tasks with intricate temporal dependencies. Long timescales required for solving such tasks can arise f…
Available observation time regulates optimal balance between sensitivity and confidence
Sahel Azizpour, Viola Priesemann, Johannes Zierenberg +1
Tasks that require information about the world imply a trade-off between the time spent on observation and the variance of the response. In particular, fast decisions need to rely…
Locally adaptive cellular automata for goal-oriented self-organization
Sina Khajehabdollahi, Emmanouil Giannakakis, Victor Buendia +2
The essential ingredient for studying the phenomena of emergence is the ability to generate and manipulate emergent systems that span large scales. Cellular automata are the model…
Topology-dependent coalescence controls scaling exponents in finite networks
Roxana Zeraati, Victor Buendía, Tatiana A. Engel +1
Multiple studies of neural avalanches across different data modalities led to the prominent hypothesis that the brain operates near a critical point. The observed exponents often i…
Tackling the subsampling problem to infer collective properties from limited data
Anna Levina, Viola Priesemann, Johannes Zierenberg
Complex systems are fascinating because their rich macroscopic properties emerge from the interaction of many simple parts. Understanding the building principles of these emergent…
Spatial and temporal correlations in neural networks with structured connectivity
Yan-Liang Shi, Roxana Zeraati, Anna Levina +1
Correlated fluctuations in the activity of neural populations reflect the network's dynamics and connectivity. The temporal and spatial dimensions of neural correlations are interd…