12 citations · 14 across the 9 of their papers we have counts for
3 papers · 1 filter
Competition, stability, and functionality in excitatory-inhibitory neural circuits
Simone Betteti, William Retnaraj, Alexander Davydov +2
Energy-based models have become a central paradigm for understanding computation and stability in both theoretical neuroscience and machine learning. However, the energetic framewo…
Contraction and concentration of measures with applications to theoretical neuroscience
Simone Betteti, Francesco Bullo
We investigate the asymptotic behavior of probability measures associated with stochastic dynamical systems featuring either globally contracting or -contracting drift terms…
Oscillatory Associative Memory with Exponential Capacity
Taosha Guo, Arie Ogranovich, Arvind R. Venkatakrishnan +3
The slowing of Moore's law and the increasing energy demands of machine learning present critical challenges for both the hardware and machine learning communities, and drive the d…