1 citations · 1 across the 4 of their papers we have counts for
5 papers
Softmax-Free Attention in Spiking Transformers as the Zero-Temperature Limit of Two-Level Systems
Roberto C. Sotero, Pouya Taghipour, Jose M. Sanchez-Bornot
Spiking Transformers achieve energy efficiency by discarding softmax normalization in favor of thresholded, binary attention. However, this removal breaks the thermodynamic framewo…
Computational neurology: Computational modeling approaches in dementia
KongFatt Wong-Lin, Jose M. Sanchez-Bornot, Niamh McCombe +14
Dementia is a collection of symptoms associated with impaired cognition and impedes everyday normal functioning. Dementia, with Alzheimer's disease constituting its most common typ…
Multiple penalized least squares and sign constraints with modified Newton-Raphson algorithms: application to EEG source imaging
Mayrim Vega-Hernández, José M. Sánchez-Bornot, Agustín Lage-Castellanos +6
Multiple penalized least squares (MPLS) models are a flexible approach to find adaptive least squares solutions required to be simultaneously sparse and smooth. This is particularl…
Cross-frequency interactions during diffusion on complex brain networks are facilitated by scale-free properties
Roberto C. Sotero, Lazaro M. Sanchez-Rodriguez, Mehdy Dousty +2
We studied the interactions between different temporal scales of diffusion processes on complex networks and found them to be stronger in scale-free (SF) than in Erdos-Renyi (ER) n…
Locally Linearized Runge Kutta method of Dormand and Prince
Juan Carlos Jimenez, Alina Sotolongo, Jose Miguel Sanchez-Bornot
In this paper, the effect that produces the local linearization of the embedded Runge-Kutta formulas of Dormand and Prince for initial value problems is studied. For this, embedded…