Projects

Multiple adaptation mechanisms account for the emergence of prediction error responses in V1

We identify possible plasticity mechanisms that explain the adaptation of responses to repeated stimulus presentations and the emergence of prediction error responses in a recurrent circuit model with multiple interneuron sub-types.
Schematic of mean-field and multi-neuron circuit-Dimitra Maoutsa

Shaping low-rank recurrent neural networks with biological learning rules

Biologically-plausible training of low-rank RNNs - with Pablo Crespo, Dimitra Maoutsa, Matt Getz

Plasticity-driven circuit self-organization on spiking stabilized supralinear networks

How different forms of spike-timing dependent plasticity affect the functional properties of spiking SSNs - with Raul Adell Segarra, Dylan Festa, Dimitra Maoutsa

Revealing latent stochastic dynamics from neuronal spiking patterns

Inference of latent dynamics through stochastic control - with myself
Schematic of framework-Dimitra Maoutsa

See older projects here ^{^{^{^{${\textsf{\color{white}Dimitra Maoutsa }}$}}}}