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Neural Computation|January 18, 2018
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron DataDorian Florescu, Daniel CocaNeural Computation|July 11, 2015
A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire NeuronsDorian Florescu, Daniel CocaNeural Computation|July 24, 2019
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State MachinesDorian Florescu, Daniel CocaCommunications 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 systemsXiaokai Nie, Daniel CocaFrontiers in Neuroinformatics|April 20, 2019
Communication Sparsity in Distributed Spiking Neural Network Simulations to Improve ScalabilityCarlos Fernandez-Musoles, Daniel Coca, Paul RichmondMethods in Molecular Biology (Clifton, N.J.)|December 17, 2009
A high-performance reconfigurable computing solution for Peptide mass fingerprintingDaniel Coca, Istvan Bogdan, Robert J BeynonBioinformatics (Oxford, England)|February 6, 2007
Hardware acceleration of processing of mass spectrometric data for proteomicsIstvan 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 fingerprintingIstván A Bogdán, Jenny Rivers, Robert J Beynon, et al.Journal of Nonlinear Science|July 17, 2018
Identification of Stochastically Perturbed Autonomous Systems from Temporal Sequences of Probability Density FunctionsXiaokai Nie, Jingjing Luo, Daniel Coca, et al.Stem Cell Reports|June 11, 2025
Stem cell fate decisions: Substates and attractorsJames E Mason, Xiaokai Nie, Daniel Coca, et al.Pageof 3