5 citations · 10 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
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…
Environmental variability and network structure determine the optimal plasticity mechanisms in embodied agents
Emmanouil Giannakakis, Sina Khajehabdollahi, Anna Levina
The evolutionary balance between innate and learned behaviors is highly intricate, and different organisms have found different solutions to this problem. We hypothesize that the e…
When to be critical? Performance and evolvability in different regimes of neural Ising agents
Sina Khajehabdollahi, Jan Prosi, Emmanouil Giannakakis +2
It has long been hypothesized that operating close to the critical state is beneficial for natural, artificial and their evolutionary systems. We put this hypothesis to test in a s…