no code implementations • 11 Feb 2024 • Tommaso Boccato, Matteo Ferrante, Nicola Toschi
In this paper we introduce SynaptoGen, a novel framework that aims to bridge the gap between genetic manipulations and neuronal network behavior by simulating synaptogenesis and guiding the development of neuronal networks capable of solving predetermined computational tasks.
1 code implementation • 8 Sep 2023 • Matteo Ferrante, Tommaso Boccato, Stefano Bargione, Nicola Toschi
Additionally, we incorporated an image reconstruction mechanism based on pre-trained latent diffusion models, which allowed us to generate an estimate of the images which had elicited EEG activity.
no code implementations • 1 Aug 2023 • Matteo Ferrante, Tommaso Boccato, Nicola Toschi
We compared ridge regression, hyper alignment, and anatomical alignment techniques for fMRI data alignment.
no code implementations • 19 May 2023 • Matteo Ferrante, Furkan Ozcelik, Tommaso Boccato, Rufin VanRullen, Nicola Toschi
Our brain captioning approach outperforms existing methods, while our image reconstruction pipeline generates plausible images with improved spatial relationships.
no code implementations • 31 Mar 2023 • Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
Our study sheds light on the potential of complex topologies for enhancing the performance of ANNs and provides a foundation for future research exploring the interplay between multiple topological attributes and their impact on model performance.
1 code implementation • 13 Dec 2022 • Matteo Ferrante, Tommaso Boccato, Nicola Toschi
Brain decoding is a field of computational neuroscience that uses measurable brain activity to infer mental states or internal representations of perceptual inputs.
no code implementations • 27 Sep 2022 • Matteo Ferrante, Tommaso Boccato, Nicola Toschi
The willingness to trust predictions formulated by automatic algorithms is key in a vast number of domains.
1 code implementation • 25 Sep 2022 • Matteo Ferrante, Tommaso Boccato, Simeon Spasov, Andrea Duggento, Nicola Toschi
Then, we reconstruct the sample based on a similarity measure between the sample embedding and the prototypical vectors of the clusters.
no code implementations • 24 Sep 2022 • Matteo Ferrante, Tommaso Boccato, Simeon Spasov, Andrea Duggento, Nicola Toschi
The lack of large labeled medical imaging datasets, along with significant inter-individual variability compared to clinically established disease classes, poses significant challenges in exploiting medical imaging information in a precision medicine paradigm, where in principle dense patient-specific data can be employed to formulate individual predictions and/or stratify patients into finer-grained groups which may follow more homogeneous trajectories and therefore empower clinical trials.
1 code implementation • 5 Sep 2022 • Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
Thanks to their ease of implementation, multilayer perceptrons (MLPs) have become ubiquitous in deep learning applications.