Scientific Publications

Oikonomos-II: A Reinforcement-Learning, Resource-Recommendation System for Cloud HPC

Gradient-free training of recurrent neural networks using random perturbations

Tricking AI chips into simulating the human brain: A detailed performance analysis

NeuroDots: From Single-Target to Brain-Network Modulation: Why and What Is Needed?

Analytical Characterization of Epileptic Dynamics in a Bistable System

Universal Differential Equations as a Common Modeling Language for Neuroscience

ExaFlexHH: an exascale-ready, flexible multi-FPGA library for biologically plausible brain simulations

Effective Learning with Node Perturbation in Multi-Layer Neural Networks

A Dynamical Systems Approach to Optimal Foraging

Towards biologically plausible phosphene simulation for the differentiable optimization of visual cortical prostheses

The representation of occluded image regions in area V1 of monkeys and humans

Solving the binding problem: Assemblies form when neurons enhance their firing rate—they don’t need to oscillate or synchronize

Perspectives of Implementation of Closed-Loop Deep Brain Stimulation: From Neurological to Psychiatric Disorders

UMM: Unsupervised Mean-difference Maximization

Transfer Learning between Motor Imagery Datasets using Deep Learning--Validation of Framework and Comparison of Datasets

A Systematic Review of Direct Outputs from the Cerebellum to the Brainstem and Diencephalon in Mammals

Scientific Publications

Oikonomos-II: A Reinforcement-Learning, Resource-Recommendation System for Cloud HPC

Gradient-free training of recurrent neural networks using random perturbations

Tricking AI chips into simulating the human brain: A detailed performance analysis

NeuroDots: From Single-Target to Brain-Network Modulation: Why and What Is Needed?

Analytical Characterization of Epileptic Dynamics in a Bistable System

Universal Differential Equations as a Common Modeling Language for Neuroscience

ExaFlexHH: an exascale-ready, flexible multi-FPGA library for biologically plausible brain simulations

Effective Learning with Node Perturbation in Multi-Layer Neural Networks

A Dynamical Systems Approach to Optimal Foraging

Towards biologically plausible phosphene simulation for the differentiable optimization of visual cortical prostheses

The representation of occluded image regions in area V1 of monkeys and humans

Solving the binding problem: Assemblies form when neurons enhance their firing rate—they don’t need to oscillate or synchronize

Perspectives of Implementation of Closed-Loop Deep Brain Stimulation: From Neurological to Psychiatric Disorders

UMM: Unsupervised Mean-difference Maximization

Transfer Learning between Motor Imagery Datasets using Deep Learning--Validation of Framework and Comparison of Datasets

A Systematic Review of Direct Outputs from the Cerebellum to the Brainstem and Diencephalon in Mammals

Scientific Publications