14 citations · 35 across the 6 of their papers we have counts for
6 papers
The computational role of structure in neural activity and connectivity
Srdjan Ostojic, Stefano Fusi
One major challenge of neuroscience is finding interesting structures in a seemingly disorganized neural activity. Often these structures have computational implications that help…
Memory capacity of neural network models
Stefano Fusi
Memory is a complex phenomenon that involves several distinct mechanisms. These mechanisms operate at different spatial and temporal levels. This chapter focuses on the theoretical…
Computational models of long term plasticity and memory
Stefano Fusi
Memory is often defined as the mental capacity of retaining information about facts, events, procedures and more generally about any type of previous experience. Memories are remem…
Estimating the dimensionality of neural responses with fMRI Repetition Suppression
Mattia Rigotti, Stefano Fusi
We propose a novel method that exploits fMRI Repetition Suppression (RS-fMRI) to measure the dimensionality of the set response vectors, i.e. the dimension of the space of linear c…
Computational principles of biological memory
Marcus K. Benna, Stefano Fusi
Memories are stored, retained, and recollected through complex, coupled processes operating on multiple timescales. To understand the computational principles behind these intricat…
Energy-efficient neuromorphic classifiers
Daniel Martí, Mattia Rigotti, Mingoo Seok +1
Neuromorphic engineering combines the architectural and computational principles of systems neuroscience with semiconductor electronics, with the aim of building efficient and comp…