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Neural Computation
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January 18, 2018
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data
Dorian Florescu, Daniel Coca
Communications in Nonlinear Science & Numerical Simulation
|
January 5, 2018
A matrix-based approach to solving the inverse Frobenius-Perron problem using sequences of density functions of stochastically perturbed dynamical systems
Xiaokai Nie, Daniel Coca
Neural Computation
|
July 24, 2019
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines
Dorian Florescu, Daniel Coca
Neural Computation
|
July 11, 2015
A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons
Dorian Florescu, Daniel Coca
Scientific Reports
|
March 17, 2026
Adaptive state-feedback echo state networks for temporal sequence learning
Codrin A Lupascu, Daniel Coca
Frontiers in Neuroinformatics
|
April 20, 2019
Communication Sparsity in Distributed Spiking Neural Network Simulations to Improve Scalability
Carlos Fernandez-Musoles, Daniel Coca, Paul Richmond
Methods in Molecular Biology (Clifton, N.J.)
|
December 17, 2009
A high-performance reconfigurable computing solution for Peptide mass fingerprinting
Daniel Coca, Istvan Bogdan, Robert J Beynon
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation
|
April 4, 2018
Linear and Nonlinear Estimated GFR Slopes in ADPKD Patients Reaching ESRD
Matei Neagu, Daniel Coca, Albert C M Ong
Bioinformatics (Oxford, England)
|
February 6, 2007
Hardware acceleration of processing of mass spectrometric data for proteomics
Istvan Bogdan, Daniel Coca, Jenny Rivers, et al.
Bioinformatics (Oxford, England)
|
May 6, 2008
High-performance hardware implementation of a parallel database search engine for real-time peptide mass fingerprinting
István A Bogdán, Jenny Rivers, Robert J Beynon, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 30) with videos related to
Sort By:
Page
of 3
Neural Computation
|
January 18, 2018
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data
Dorian Florescu, Daniel Coca
Communications in Nonlinear Science & Numerical Simulation
|
January 5, 2018
A matrix-based approach to solving the inverse Frobenius-Perron problem using sequences of density functions of stochastically perturbed dynamical systems
Xiaokai Nie, Daniel Coca
Neural Computation
|
July 24, 2019
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines
Dorian Florescu, Daniel Coca
Neural Computation
|
July 11, 2015
A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons
Dorian Florescu, Daniel Coca
Scientific Reports
|
March 17, 2026
Adaptive state-feedback echo state networks for temporal sequence learning
Codrin A Lupascu, Daniel Coca
Frontiers in Neuroinformatics
|
April 20, 2019
Communication Sparsity in Distributed Spiking Neural Network Simulations to Improve Scalability
Carlos Fernandez-Musoles, Daniel Coca, Paul Richmond
Methods in Molecular Biology (Clifton, N.J.)
|
December 17, 2009
A high-performance reconfigurable computing solution for Peptide mass fingerprinting
Daniel Coca, Istvan Bogdan, Robert J Beynon
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation
|
April 4, 2018
Linear and Nonlinear Estimated GFR Slopes in ADPKD Patients Reaching ESRD
Matei Neagu, Daniel Coca, Albert C M Ong
Bioinformatics (Oxford, England)
|
February 6, 2007
Hardware acceleration of processing of mass spectrometric data for proteomics
Istvan Bogdan, Daniel Coca, Jenny Rivers, et al.
Bioinformatics (Oxford, England)
|
May 6, 2008
High-performance hardware implementation of a parallel database search engine for real-time peptide mass fingerprinting
István A Bogdán, Jenny Rivers, Robert J Beynon, et al.
Page
of 3