2.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH61 papers
- University of ZurichCH59 papers
- SIB Swiss Institute of BioinformaticsCH13 papers
- Forschungszentrum JülichDE4 papers
- Italian Institute of TechnologyIT4 papers
- Universidad de SevillaES4 papers
- Intel (United States)US3 papers
- Swiss Federal Institute of Aquatic Science and TechnologyCH3 papers
- University of BernCH3 papers
- Accenture (United States)US2 papers
- Bielefeld UniversityDE2 papers
- California Institute of TechnologyUS2 papers
7 papers · 1 filter
Spiking Analog VLSI Neuron Assemblies as Constraint Satisfaction Problem Solvers
Jonathan Binas, Giacomo Indiveri, Michael Pfeiffer
Solving constraint satisfaction problems (CSPs) is a notoriously expensive computational task. Recently, it has been proposed that efficient stochastic solvers can be obtained thro…
Boosting Bayesian Parameter Inference of Nonlinear Stochastic Differential Equation Models by Hamiltonian Scale Separation
Carlo Albert, Simone Ulzega, Ruedi Stoop
Parameter inference is a fundamental problem in data-driven modeling. Given observed data that is believed to be a realization of some parameterized model, the aim is to find param…
The Neural Particle Filter
Anna Kutschireiter, Simone Carlo Surace, Henning Sprekeler +1
The robust estimation of dynamically changing features, such as the position of prey, is one of the hallmarks of perception. On an abstract, algorithmic level, nonlinear Bayesian f…
Memory and information processing in neuromorphic systems
Giacomo Indiveri, Shih-Chii Liu
A striking difference between brain-inspired neuromorphic processors and current von Neumann processors architectures is the way in which memory and processing is organized. As Inf…
Two universal physical principles shape the power-law statistics of real-world networks
Tom Lorimer, Florian Gomez, Ruedi Stoop
The study of complex networks has pursued an understanding of macroscopic behavior by focusing on power-laws in microscopic observables. Here, we uncover two universal fundamental…
An event-based architecture for solving constraint satisfaction problems
Hesham Mostafa, Lorenz K. Müller, Giacomo Indiveri
Constraint satisfaction problems (CSPs) are typically solved using conventional von Neumann computing architectures. However, these architectures do not reflect the distributed nat…
Rhythmic inhibition allows neural networks to search for maximally consistent states
Hesham Mostafa, Lorenz K. Muller, Giacomo Indiveri
Gamma-band rhythmic inhibition is a ubiquitous phenomenon in neural circuits yet its computational role still remains elusive. We show that a model of Gamma-band rhythmic inhibitio…