19 citations · 63 across the 9 of their papers we have counts for
9 papers
Viash: from scripts to pipelines
Robrecht Cannoodt, Hendrik Cannoodt, Eric Van de Kerckhove +3
Most bioinformatics pipelines consist of software components that are tightly coupled to the logic of the pipeline itself. This limits reusability of the individual components in t…
Synchronous versus sequential updating in the three-state Ising neural network with variable dilution
D. Bolle', R. Erichsen, T. Verbeiren
The three-state Ising neural network with synchronous updating and variable dilution is discussed starting from the appropriate Hamiltonians. The thermodynamic and retrieval proper…
Multiplicative versus additive noise in multi-state neural networks
D. Bolle, J. Busquets Blanco, T. Verbeiren
The effects of a variable amount of random dilution of the synaptic couplings in Q-Ising multi-state neural networks with Hebbian learning are examined. A fraction of the couplings…
The signal-to-noise analysis of the Little-Hopfield model revisited
D. Bolle, J. Busquets Blanco, T. Verbeiren
Using the generating functional analysis an exact recursion relation is derived for the time evolution of the effective local field of the fully connected Little-Hopfield model. It…
A spherical Hopfield model
D. Bolle, Th. M. Nieuwenhuizen, I. Perez Castillo +1
We introduce a spherical Hopfield-type neural network involving neurons and patterns that are continuous variables. We study both the thermodynamics and dynamics of this model. In…
The Blume-Emery-Griffiths neural network: dynamics for arbitrary temperature
D. Bolle, J. Busquets Blanco, G. M. Shim +1
The parallel dynamics of the fully connected Blume-Emery-Griffiths neural network model is studied for arbitrary temperature. By employing a probabilistic signal-to-noise approach,…