Our research is focused on the study of several neural networks of the nervous system using both theoretical/computational models and novel experimental techniques based on activity-dependent stimulation. We are interested in some general issues such as the neural mechanisms to encode, store and process information, as well as several particular problems of the systems under our study (from sensory and motor systems to the hippocampus and the cortex).
Our work uses computational models of neurons and networks to draw hypotheses about the functioning of the nervous system beyond those provided from the analysis of experimental data in living neural networks. Modeling allows to implement experiments that are not achievable with present techniques in the wet laboratories. The models provide new predictions and results that can be tested through new experiments. In some of our protocols models directly interact with the experimental preparations through closed-loop technologies.
Our group is also interested in the application of the mechanisms of information processing that we learn from biology to the development of new paradigms of artificial neural networks, robotics, artificial noses and brain-machine interfaces.
A C++ model library for fast and efficient simulation
Computational models of neurons and neural circuits.
- Komendantov-Kononenko_model_SIECneuron – Komendantov model
- CPG-feeding-Lymnaea – Central Pattern Generator (CPG) for feeding behavior in Lymnaea.
- electromotor-nmodel – Electromotor neural network model.
Tools and extensions related to the RTHybrid real-time hybrid system.
- RTHybrid – Core real-time hybrid system.
- RTHy_plot_tool – Visualization tool for RTHybrid.
- rthybrid-neuron-model-generator – Generator of neuron models for RTHybrid.
- RTHy_genetic – Genetic optimization of parameters in RTHybrid.
- RTHy_mono – Monolithic version of RTHybrid.
- CNS2020-ClosedLoopNeuroscienceTutorial – RTHybrid tutorial for CNS 2020.
Plugins and modules for use with the RTXI real-time operating system.
- rthybrid-for-rtxi – RTHybrid plugin for RTXI.
- waveform-analyzer-RTXI – Waveform analysis module for RTXI.
- Temporal-Code-Driven-Stimulation-and-Victor-Purpura-distance-protocol – Temporal code-driven stimulation with Victor-Purpura distance.
- tcds-adclamp – Active dynamic clamp module for temporal stimulation.
Repositories linked to published studies or experimental data analysis.
- Kamali-BiLSTMs-Self-attention-for-motor-EEG – Deep learning (BiLSTM + attention) for motor EEG classification.
- Kamali_Mu_and_beta_power_precue_effects_double_dissociate_latency – Study on the effects of mu and beta power on motor latency.
- Garrido-Pena_Modulation-neural-dynamics-by-CW-NIR-stimulation – Neural dynamics modulation using continuous-wave near-infrared stimulation.