J. Rosselló

发表

Hardware Implementation of Stochastic Computing-based Morphological Neural Systems

Christiam F. Frasser, E. S. Skibinsky-Gitlin, V. Canals, 2022, 2022 IEEE International Symposium on Circuits and Systems (ISCAS).

A Stochastic Spiking Neural Network for Virtual Screening

V. Canals, A. Morro, A. Oliver, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Studying the Role of Synchronized and Chaotic Spiking Neural Ensembles in Neural Information Processing

Antoni Morro, Vicent Canals, José Luis Rosselló, 2014, Int. J. Neural Syst..

Neural Information Processing: between synchrony and chaos

Josep L. Rosselló, Vincent Canals, Antoni Morro, 2012 .

An analytical charge-based compact delay model for submicrometer CMOS inverters

José Luis Rosselló, Jaume Segura, J. Segura, 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

Charge-based analytical model for the evaluation of powerconsumption in submicron CMOS buffers

Jaume Segura, José Luis Rosselló, J. Segura, 2002, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

0.65 V integrable electronic realisation of integer- and fractional-order Hindmarsh-Rose neuron model using companding technique

Costas Psychalinos, Josep L. Rosselló, Farooq Ahmad Khanday, 2018, IET Circuits Devices Syst..

Stochastic-based Neural Network hardware acceleration for an efficient ligand-based virtual screening pdf

Miquel Roca, Josep L. Rossello, Vincent Canals, 2020, ArXiv.

Structural RFIC device testing through built-in thermal monitoring

Antonio J. Rubio, José Luis Rosselló, Josep Altet, 2003, IEEE Commun. Mag..

Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning

Christiam F. Frasser, E. S. Skibinsky-Gitlin, V. Canals, 2023, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Improving efficiency of a Stochastic Computing-based Morphological Neural Network

Christiam F. Frasser, E. S. Skibinsky-Gitlin, M. Roca, 2022, 2022 37th Conference on Design of Circuits and Integrated Circuits (DCIS).

A surface site interaction point methodology for macromolecules and huge molecular databases

Josep L. Rosselló, Antoni Oliver, Christopher A. Hunter, 2017, J. Comput. Chem..

Using stochastic logic for efficient pattern recognition analysis

Vicent Canals, Jaume Segura, José Luis Rosselló, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

High-Density Liquid-State Machine Circuitry for Time-Series Forecasting

Josep L. Rosselló, Antoni Morro, Miquel L. Alomar, 2016, Int. J. Neural Syst..

Compact Hardware Synthesis of Stochastic Spiking Neural Networks

Josep L. Rosselló, Miquel Roca, Fabio Galán-Prado, 2019, Int. J. Neural Syst..

Smart Hardware Implementation of Spiking Neural Networks

Josep L. Rosselló, Fabio Galán-Prado, F. Galán-Prado, 2017, IWANN.

Stochastic hardware implementation of Liquid State Machines

Josep L. Rosselló, Antoni Morro, Miquel L. Alomar, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

An improved methodology to compute surface site interaction points using high density molecular electrostatic potential surfaces

Josep L. Rosselló, Christopher A. Hunter, Rafel Prohens, 2018, J. Comput. Chem..

A Fully CMOS Low-Cost Chaotic Neural Network

Vicent Canals, Jaume Segura, José Luis Rosselló, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

A simple CMOS chaotic integrated circuit

Antoni Morro, Vicent Canals, José Luis Rosselló, 2008, IEICE Electron. Express.

Spiking neural networks signal processing

A. Oliver, J. L. Rossello, V. Canals, 2014, Design of Circuits and Integrated Systems.

Stochastic Spiking Neural Networks at the EDGE of CHAOS

Antoni Morro, Vicent Canals, José Luis Rosselló, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

SPIKING NEURAL NET WORKS SIGNAL PROCESSING

Josep L. Rosselló, Antoni Morro, Miquel L. Alomar, 2014 .

Noise tolerant probabilistic logic for statistical pattern recognition applications

Christiam F. Frasser, Josep L. Rosselló, Antoni Morro, 2017, Integr. Comput. Aided Eng..

SoC Kohonen Maps Based on Stochastic Computing

Miquel Roca, Josep L. Rosselló, Vincent Canals, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A New Stochastic Computing Methodology for Efficient Neural Network Implementation

Josep L. Rosselló, Antoni Morro, Miquel L. Alomar, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Noise-robust hardware implementation of neural networks

Josep L. Rosselló, Antoni Morro, Miquel L. Alomar, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Ultra-Fast Data-Mining Hardware Architecture Based on Stochastic Computing

Josep L. Rossello, Vincent Canals, Antoni Morro, 2015, PloS one.

Hardware Implementation of Stochastic Spiking Neural Networks

Antoni Morro, Vicent Canals, José Luis Rosselló, 2012, Int. J. Neural Syst..

Stochastic-based pattern-recognition analysis pdf

Antoni Morro, Vicent Canals, José Luis Rosselló, 2010, Pattern Recognit. Lett..

Hardware implementation of stochastic-based Neural Networks

Antoni Morro, Vicent Canals, José Luis Rosselló, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Digital Implementation of a Single Dynamical Node Reservoir Computer

Miguel C. Soriano, Miquel L. Alomar, Vicent Canals, 2015, IEEE Transactions on Circuits and Systems II: Express Briefs.

Reservoir Computing Hardware with Cellular Automata pdf

Christiam F. Frasser, Josep L. Rosselló, Alejandro Morán, 2018, ArXiv.

Low-cost hardware implementation of Reservoir Computers

Miquel L. Alomar, Vicent Canals, Víctor Martínez-Moll, 2014, 2014 24th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS).

Efficient parallel implementation of reservoir computing systems

Christiam F. Frasser, Miquel Roca, Josep L. Rosselló, 2018, Neural Computing and Applications.

Energy-Efficient Pattern Recognition Hardware With Elementary Cellular Automata

Christiam F. Frasser, Josep L. Rosselló, Miquel Roca, 2020, IEEE Transactions on Computers.

FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting

Josep L. Rosselló, Miquel L. Alomar, Vicent Canals, 2015, Comput. Intell. Neurosci..

Stochastic-Based Implementation of Reservoir Computers

Miquel L. Alomar, Vicent Canals, Víctor Martínez-Moll, 2015, IWANN.

Optimal Stochastic Computing Randomization

Christiam F. Frasser, M. Roca, J. Rosselló, 2021, Electronics.

Studying the Role of Synchronized and Chaotic Spiking Neural Ensembles in Neural Information Processing

J. Rosselló, A. Morro, V. Canals, 2014, Int. J. Neural Syst..

Within die thermal gradient impact on clock-skew: a new type of delay-fault mechanism

A. Keshavarzi, J. Segura, S. Bota, 2004, 2004 International Conferce on Test.

Electrostatically actuated microbeam resonators as chaotic signal generators: A practical perspective

Jaume Verd, Josep L. Rosselló, S. Bota, 2016, Commun. Nonlinear Sci. Numer. Simul..