Jasmin Léveillé

发表

A software suite for large-scale video- and image-based analytics

Isao Hayashi, Jasmin Léveillé, I. Hayashi, 2014, BICT.

Improvement of Concentration of Numeracy by Mozart Effect

Masaki Ogino, Isao Hayashi, Jasmin Léveillé, 2014, BICT.

A Probabilistic WKL Rule for Incremental Feature Learning and Pattern Recognition

Isao Hayashi, Kunihiko Fukushima, Jasmin Léveillé, 2014, J. Adv. Comput. Intell. Intell. Informatics.

An Analysis for Switching of Feedback and Feedforward Mechanism in Motor Internal Model

Masaki Ogino, Isao Hayashi, Jasmin Léveillé, 2016, 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS).

General form of learning algorithms for neuromorphic hardware implementation

Ennio Mingolla, Greg Snider, Arash Yazdanbakhsh, 2010, BMC Neuroscience.

Learning in a Distributed Software Architecture for Large-Scale Neural Modeling

Ennio Mingolla, Massimiliano Versace, Anatoli Gorchetchnikov, 2010, BIONETICS.

Neocognitron trained by winner-kill-loser with triple threshold

Isao Hayashi, Kunihiko Fukushima, Jasmin Léveillé, 2014, Neurocomputing.

An epidemiological model of virus spread and cleanup

Matthew Murray Williamson, Jasmin Léveillé, J. Léveillé, 2003 .

Neocognitron trained by winner-kill-loser with triple threshold

Isao Hayashi, Kunihiko Fukushima, Jasmin Léveillé, 2014, Neurocomputing.

Recognition for Switching of Feedback and Feedforward Process in Motor internal model

Masaki Ogino, Isao Hayashi, Jasmin Léveillé, 2015, BICT.

From Synapses to Circuitry: Using Memristive Memory to Explore the Electronic Brain

Ennio Mingolla, Rick Amerson, Greg Snider, 2011, Computer.

Learning Spatial Invariance with the Trace Rule in Nonuniform Distributions

Thomas Hannagan, Jasmin Léveillé, 2013, Neural Computation.

Review of stability properties of neural plasticity rules for implementation on memristive neuromorphic hardware

Ennio Mingolla, Massimiliano Versace, Anatoli Gorchetchnikov, 2011, The 2011 International Joint Conference on Neural Networks.

From Motion to Object: How Visual Cortex Does Motion Vector Decomposition to Create Object-Centered Reference Frames

Stephen Grossberg, Massimiliano Versace, Jasmin Léveillé, 2010 .

Running as fast as it can: How spiking dynamics form object groupings in the laminar circuits of visual cortex

Stephen Grossberg, Massimiliano Versace, Jasmin Léveillé, 2010, Journal of Computational Neuroscience.

Review and unification of learning framework in Cog Ex Machina platform for memristive neuromorphic hardware

Ennio Mingolla, Rick Amerson, Greg Snider, 2011, The 2011 International Joint Conference on Neural Networks.

Online learning of feature detectors from natural images with the probabilistic WKL rule

Isao Hayashi, Kunihiko Fukushima, Jasmin Léveillé, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

Landmine detection with Bayesian cross-categorization on point-wise, contextual and spatial features

Avinash Gandhe, Ssu-Hsin Yu, Jasmin Léveillé, 2016, SPIE Defense + Security.

Superposed Episodic and Semantic Memory via Sparse Distributed Representation pdf

Rod Rinkus, Jasmin Léveillé, J. Léveillé, 2017, ArXiv.

KInNeSS: A Modular Framework for Computational Neuroscience

Massimiliano Versace, Anatoli Gorchetchnikov, Bret Fortenberry, 2008, Neuroinformatics.

How Do Object Reference Frames and Motion Vector Decomposition Emerge in Laminar Cortical Circuits?

Stephen Grossberg, Massimiliano Versace, Jasmin Léveillé, 2011 .

Visually-guided adaptive robot (ViGuAR)

Ennio Mingolla, Rick Amerson, Greg Snider, 2011, The 2011 International Joint Conference on Neural Networks.

Speed, more than depth, determines the strength of induced motion.

Arash Yazdanbakhsh, Jasmin Léveillé, 2010, Journal of vision.