Search results for "spiking"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
136	Yuri B. Boiko, Gabriel A. Wainer	Modeling of neural decoder based on binary spiking neurons in DEVS.	SpringSim	2009	DBLP BibTeX RDF	binary response function, brain machine, neural spiking decoder, spiking decoding, discrete event simulation, DEVS, spiking neuron
86	Vassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou	Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner's Dilemma.	ICANN (1)	2009	DBLP DOI BibTeX RDF
85	Nikola K. Kasabov	Integrative connectionist learning systems inspired by nature: current models, future trends and challenges.	Nat. Comput.	2009	DBLP DOI BibTeX RDF	Connectionist learning systems, Evolving spiking neural networks, Multiple task learning, Multimodal audio-visual information processing, Gene-spiking neural networks, Computational neurogenetic modeling, Quantum spiking neural networks, Artificial neural networks, Spiking neural networks
83	Gennady S. Cymbalyuk, Andrey L. Shilnikov	Coexistence of Tonic Spiking Oscillations in a Leech Neuron Model.	J. Comput. Neurosci.	2005	DBLP DOI BibTeX RDF	Pontryagins averaging method, chaotic tonic spiking, bi-stability, period-doubling, chaos, transition, bifurcation
76	Lakshmi Narayana Panuku, C. Chandra Sekhar	Clustering of Nonlinearly Separable Data Using Spiking Neural Networks.	ICANN (1)	2007	DBLP DOI BibTeX RDF
67	Mihai Ionescu, Andrei Paun, Gheorghe Paun, Mario J. Pérez-Jiménez	Computing with Spiking Neural P Systems: Traces and Small Universal Systems.	DNA	2006	DBLP DOI BibTeX RDF
64	Amber D. Fischer, Cihan H. Dagli	Indirect Differentiation of Function for a Network of Biologically Plausible Neurons.	ICANN	2003	DBLP DOI BibTeX RDF	Integrateand- Fire Neuron Models, Neuro-Modeling, Evolutionary Algorithms, Artificial Neural Networks, Computational Intelligence, Spiking Neural Networks, Evolutionary Neural Networks
57	Shigeru Shinomoto, Yutaka Sakai	Inter-spike Interval Statistics of Cortical Neurons.	IWANN (1)	1999	DBLP DOI BibTeX RDF
57	Silvia Ferrari, Bhavesh Mehta, Gianluca Di Muro, Antonius M. J. VanDongen, Craig Henriquez	Biologically realizable reward-modulated hebbian training for spiking neural networks.	IJCNN	2008	DBLP DOI BibTeX RDF
57	Yaochu Jin, Ruojing Wen, Bernhard Sendhoff	Evolutionary Multi-objective Optimization of Spiking Neural Networks.	ICANN (1)	2007	DBLP DOI BibTeX RDF
57	Christian Boucheny, Richard R. Carrillo, Eduardo Ros 0001, Olivier J. M. D. Coenen	Real-Time Spiking Neural Network: An Adaptive Cerebellar Model.	IWANN	2005	DBLP DOI BibTeX RDF
57	Keren Saggie, Alon Keinan, Eytan Ruppin	Solving a Delayed Response Task with Spiking.	ECAL	2003	DBLP DOI BibTeX RDF
55	María-José Escobar, Guillaume S. Masson, Thierry Viéville, Pierre Kornprobst	Action Recognition Using a Bio-Inspired Feedforward Spiking Network.	Int. J. Comput. Vis.	2009	DBLP DOI BibTeX RDF	Spiking networks, Bio-inspired model, V1, Motion analysis, Action recognition, MT
55	Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Arfan Ghani, Joan Condell	Spiking Neural Network Performs Discrete Cosine Transform for Visual Images.	ICIC (2)	2009	DBLP DOI BibTeX RDF	discrete cosine transform, visual system, spiking neural networks, visual image
55	Matteo Cavaliere, Ivan Mura	Experiments on the reliability of stochastic spiking neural P systems.	Nat. Comput.	2008	DBLP DOI BibTeX RDF	Time-freeness, Stochastic firing time, Universality, Reliable computations, Spiking neural P systems
55	Sylvain Chevallier, Philippe Tarroux	Covert Attention with a Spiking Neural Network.	ICVS	2008	DBLP DOI BibTeX RDF	precise spike-timing, covert attention, saliency, spiking neurons
55	Yuri B. Boiko, Gabriel A. Wainer	Modeling spiking neural terminals in DEVS.	SpringSim	2008	DBLP DOI BibTeX RDF	atomic model, coupled model, neural network, discrete event simulation, DEVS, spiking neuron
55	Romain Brette, Michelle Rudolph, Ted Carnevale, Michael L. Hines, David Beeman, James M. Bower, Markus Diesmann, Abigail Morrison, Philip H. Goodman, Frederick C. Harris Jr., Milind Zirpe, Thomas Natschläger, Dejan Pecevski, Bard Ermentrout, Mikael Djurfeldt, Anders Lansner, Olivier Rochel, Thierry Viéville, Eilif Mueller, Andrew P. Davison, Sami El Boustani, Alain Destexhe	Simulation of networks of spiking neurons: A review of tools and strategies.	J. Comput. Neurosci.	2007	DBLP DOI BibTeX RDF	Clock-driven, Event-driven, Spiking neural networks, Simulation tools, Integration strategies
48	Enno de Lange, Martin Hasler	Predicting single spikes and spike patterns with the Hindmarsh-Rose model.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF	Hindmarsh-Rose model, Parameter fitting, Quantitative neuron modeling, Spike-timing, Neocortical neurons, Nonlinear optimization, Nonlinear dynamics, Bifurcation analysis
48	Shinji Doi, Sadatoshi Kumagai	Generation of Very Slow Neuronal Rhythms and Chaos Near the Hopf Bifurcation in Single Neuron Models.	J. Comput. Neurosci.	2005	DBLP DOI BibTeX RDF	slow oscillation, homoclinic orbit, chaos, singular perturbation, Hopf bifurcation
48	Angelo Di Garbo, Alessandro Panarese, Michele Barbi, Santi Chillemi	Signal Transmission and Synchrony Detection in a Network of Inhibitory Interneurons.	BVAI	2005	DBLP DOI BibTeX RDF
48	Nikolai F. Rulkov, Igor Timofeev, Maxim Bazhenov	Oscillations in Large-Scale Cortical Networks: Map-Based Model.	J. Comput. Neurosci.	2004	DBLP DOI BibTeX RDF	slow-wave sleep, waking, large-scale network model, difference equation, cortex
48	Rami Rom, Jacob Erel, Michael Glikson, Randy A. Lieberman, Kobi Rosenblum, Ofer Binah, Ran Ginosar, David L. Hayes 0001	Adaptive Cardiac Resynchronization Therapy Device Based on Spiking Neurons Architecture and Reinforcement Learning Scheme.	IEEE Trans. Neural Networks	2007	DBLP DOI BibTeX RDF
48	Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa	Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model.	ICANN (1)	2007	DBLP DOI BibTeX RDF
48	Mauricio Kugler, Kaname Iwasa, Victor Alberto Parcianello Benso, Susumu Kuroyanagi, Akira Iwata	A Complete Hardware Implementation of an Integrated Sound Localization and Classification System Based on Spiking Neural Networks.	ICONIP (2)	2007	DBLP DOI BibTeX RDF
48	Fabrice Bernhard, Renaud Keriven	Spiking Neurons on GPUs.	International Conference on Computational Science (4)	2006	DBLP DOI BibTeX RDF
48	Alexander Kaske, Nils Bertschinger	Travelling wave patterns in a model of the spinal pattern generator using spiking neurons.	Biol. Cybern.	2005	DBLP DOI BibTeX RDF
48	Christo Panchev	A Spiking Neural Network Model of Multi-modal Language Processing of Robot Instructions.	Biomimetic Neural Learning for Intelligent Robots	2005	DBLP DOI BibTeX RDF
48	Matthias Oster, Adrian M. Whatley, Shih-Chii Liu, Rodney J. Douglas	A Hardware/Software Framework for Real-Time Spiking Systems.	ICANN (1)	2005	DBLP DOI BibTeX RDF
48	Dario Floreano, Claudio Mattiussi	Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots.	EvoRobots	2001	DBLP DOI BibTeX RDF
48	Berthold Ruf, Michael Schmitt 0001	Hebbian Learning in Networks of Spiking Neurons Using Temporal Coding.	IWANN	1997	DBLP DOI BibTeX RDF
45	Javier Navaridas, Luis A. Plana, José Miguel-Alonso, Mikel Luján, Stephen B. Furber	SpiNNaker: impact of traffic locality, causality and burstiness on the performance of the interconnection network.	Conf. Computing Frontiers	2010	DBLP DOI BibTeX RDF	power-efficient architectures, performance evaluation, interconnection networks, system-on-chip, real-time applications, spiking neural networks, traffic characterization, massively parallel systems
45	Hiroshi Tsujino, Johane Takeuchi, Osamu Shouno	Basal Ganglia Models for Autonomous Behavior Learning.	Creating Brain-Like Intelligence	2009	DBLP DOI BibTeX RDF	modular learning system, input space selection, reinforcement learning, system architecture, execution timing, spiking neuron, reward, basal ganglia
45	Xiaoshen Li, Giorgio A. Ascoli	Computational simulation of the input-output relationship in hippocampal pyramidal cells.	J. Comput. Neurosci.	2006	DBLP DOI BibTeX RDF	CA1, Spiking rate, Synaptic integration, Synchrony, Compartmental models
45	Lukasz Wiklendt, Stephan K. Chalup, Rick Middleton	A small spiking neural network with LQR control applied to the acrobot.	Neural Comput. Appl.	2009	DBLP DOI BibTeX RDF	Acrobot, LQR, Evolution, Spiking neural networks
45	André Cyr, Mounir Boukadoum, Pierre Poirier	AI-SIMCOG: a simulator for spiking neurons and multiple animats' behaviours.	Neural Comput. Appl.	2009	DBLP DOI BibTeX RDF	Learning and memory, Simulator, Artificial intelligence, Robot, Dynamical synapse, Spiking neurons model
45	Michael F. Mc Bride, T. Martin McGinnity, Liam P. Maguire	Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks.	ICANN (2)	2009	DBLP DOI BibTeX RDF	Sensory Processing, Liquid State Machines, Spiking Neural Network, Cortical Columns
45	José Luis Rosselló, Ivan de Paúl, Vincent Canals, Antoni Morro	Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis.	ICANN (1)	2009	DBLP DOI BibTeX RDF	Hardware implementation of Genetic Algorithms, Neural Networks, Spiking Neural Networks
45	Boris B. Vladimirski, Joël Tabak, Michael J. O'Donovan, John Rinzel	Episodic activity in a heterogeneous excitatory network, from spiking neurons to mean field.	J. Comput. Neurosci.	2008	DBLP DOI BibTeX RDF	Spontaneous rhythmic activity, Spiking network, Heterogeneity, Dynamic range, Mean field
45	Marc García-Arnau, David Pérez, Alfonso Rodríguez-Patón, Petr Sosík	On the power of elementary features in spiking neural P systems.	Nat. Comput.	2008	DBLP DOI BibTeX RDF	Normal form, Membrane computing, P system, Spiking neuron
45	Tseren-Onolt Ishdorj, Alberto Leporati	Uniform solutions to SAT and 3-SAT by spiking neural P systems with pre-computed resources.	Nat. Comput.	2008	DBLP DOI BibTeX RDF	Pre-computed resourses, SAT, Membrane computing, Spiking neural P systems, 3-SAT
45	Heike Sichtig, J. David Schaffer, Craig B. Laramee	SSNNS -: a suite of tools to explore spiking neural networks.	GECCO (Companion)	2008	DBLP DOI BibTeX RDF	temporal pattern recognition, genetic algorithms, machine learning, complexity, learning, spiking neural networks
45	Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity	Advances in Design and Application of Spiking Neural Networks.	Soft Comput.	2007	DBLP DOI BibTeX RDF	Spike response model, Integrate-and-fire model, Supervised learning, Evolutionary strategy, Spiking neurons, Temporal coding, Dynamic synapse
45	Gheorghe Paun	A quick overview of membrane computing with some details about spiking neural P systems.	Frontiers Comput. Sci. China	2007	DBLP DOI BibTeX RDF	computational biology, membrane computing, P system, natural computing, Turing computability, spiking neural P system, chomsky hierarchy
45	Gheorghe Paun	Spiking Neural P Systems Used as Acceptors and Transducers.	CIAA	2007	DBLP DOI BibTeX RDF	string processing, membrane computing, Turing computability, spiking neural P system
45	Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin	Edge Detection Based on Spiking Neural Network Model.	ICIC (2)	2007	DBLP DOI BibTeX RDF	Edge detection, attention, visual system, spiking neural networks, receptive field
45	Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov	Text-Independent Speaker Authentication with Spiking Neural Networks.	ICANN (2)	2007	DBLP DOI BibTeX RDF	Speaker Authentication, Brain-like Pattern Recognition, Similarity Domain Normalization, Spiking Neural Network
45	Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov	Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition.	ICONIP (2)	2007	DBLP DOI BibTeX RDF	Multi-modal Information Processing, Face and Speaker Recognition, Visual and Auditory Integration, Spiking Neural Networks
45	Robert H. Fujii, Kenjyu Oozeki	Temporal Data Encoding and SequenceLearning with Spiking Neural Networks.	ICANN (1)	2006	DBLP DOI BibTeX RDF	temporal data processing, Spiking Neural Network, sequence learning
45	Willy Govaerts, Bart Sautois	The Onset and Extinction of Neural Spiking: A Numerical Bifurcation Approach.	J. Comput. Neurosci.	2005	DBLP DOI BibTeX RDF	Morris-Lecar, spiking, classification, neural models
38	Dragos Calitoiu, B. John Oommen, Doron Nussbaum	Spikes annihilation in the Hodgkin-Huxley neuron.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF	Hodgkin-Huxley neuron, Spikes, Annihilation
38	Benjamin Schrauwen, Michiel D'Haene, David Verstraeten, Jan M. Van Campenhout	Compact hardware for real-time speech recognition using a Liquid State Machine.	IJCNN	2007	DBLP DOI BibTeX RDF
38	Peter F. Rowat, Robert C. Elson	State-Dependent Effects of Na Channel Noise on Neuronal Burst Generation.	J. Comput. Neurosci.	2004	DBLP DOI BibTeX RDF	stochastic ion channels, channel noise, spike time jitter, ISI variability, chaotic bursting, burst length distribution, burst length variability, bursting
38	Jirí Síma	On the Complexity of Training a Single Perceptron with Programmable Synaptic Delays.	ALT	2003	DBLP DOI BibTeX RDF
38	Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Patané	Learning Anticipation via Spiking Networks: Application to Navigation Control.	IEEE Trans. Neural Networks	2009	DBLP DOI BibTeX RDF
38	Turlough Neary	On the Computational Complexity of Spiking Neural P Systems.	UC	2008	DBLP DOI BibTeX RDF
38	Jacob N. Allen, Safa B. Hasan, Hoda S. Abdel-Aty-Zohdy, Robert L. Ewing	An E-nose haar wavelet preprocessing circuit for spiking neural network classification.	ISCAS	2008	DBLP DOI BibTeX RDF
38	Xin Jin 0003, Stephen B. Furber, John V. Woods	Efficient modelling of spiking neural networks on a scalable chip multiprocessor.	IJCNN	2008	DBLP DOI BibTeX RDF
38	Julie A. Wall, Liam McDaid, Liam P. Maguire, T. Martin McGinnity	Spiking neuron models of the medial and lateral superior olive for sound localisation.	IJCNN	2008	DBLP DOI BibTeX RDF
38	Taiki Ichishita, Robert H. Fujii	Performance Evaluation of a Temporal Sequence Learning Spiking Neural Network.	CIT	2007	DBLP DOI BibTeX RDF
38	Matteo Cavaliere, Ömer Egecioglu, Oscar H. Ibarra, Mihai Ionescu, Gheorghe Paun, Sara Woodworth	Asynchronous Spiking Neural P Systems: Decidability and Undecidability.	DNA	2007	DBLP DOI BibTeX RDF
38	Zhimin Yuan, Zhiguo Zhang	Asynchronous Spiking Neural P System with Promoters.	APPT	2007	DBLP DOI BibTeX RDF	Asynchronous P System, Parallel Computing, Membrane Computing, Molecular Computing, P System, Turing Complete
38	Chong Liu, Jonathan Shapiro	Implementing Classical Conditioning with Spiking Neurons.	ICANN (1)	2007	DBLP DOI BibTeX RDF
38	Alberto Leporati, Claudio Zandron, Claudio Ferretti, Giancarlo Mauri	Solving Numerical NP-Complete Problems with Spiking Neural P Systems.	Workshop on Membrane Computing	2007	DBLP DOI BibTeX RDF
38	Waldemar Swiercz, Krzysztof J. Cios, Kevin Staley, Lukasz A. Kurgan, Frank Accurso, Scott Sagel	A new synaptic plasticity rule for networks of spiking neurons.	IEEE Trans. Neural Networks	2006	DBLP DOI BibTeX RDF
38	Yajie Chen, Steve Hall, Liam McDaid, Octavian Buiu, Peter M. Kelly	On the Design of a Low Power Compact Spiking Neuron Cell Based on Charge-Coupled Synapses.	IJCNN	2006	DBLP DOI BibTeX RDF
38	Yasuaki Kuroe, Hitoshi Iima	A Learning Method for Synthesizing Spiking Neural Oscillators.	IJCNN	2006	DBLP DOI BibTeX RDF
38	Oscar H. Ibarra, Sara Woodworth	Characterizations of Some Restricted Spiking Neural P Systems.	Workshop on Membrane Computing	2006	DBLP DOI BibTeX RDF
38	Artiom Alhazov, Rudolf Freund, Marion Oswald, Marija Slavkovik 0001	Extended Spiking Neural P Systems.	Workshop on Membrane Computing	2006	DBLP DOI BibTeX RDF
38	Guoping Wang, Misha Pavel	A Spiking Neuron Model of Auditory Neural Coding.	ISNN (2)	2005	DBLP DOI BibTeX RDF
38	Peter Tiño, Ashley J. S. Mills	Learning Beyond Finite Memory in Recurrent Networks of Spiking Neurons.	ICNC (2)	2005	DBLP DOI BibTeX RDF
38	Joy Bose, Stephen B. Furber, Jonathan L. Shapiro	A System for Transmitting a Coherent Burst of Activity Through a Network of Spiking Neurons.	WIRN/NAIS	2005	DBLP DOI BibTeX RDF
38	Rich Drewes, James B. Maciokas, Sushil J. Louis, Philip H. Goodman	An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network.	GECCO (1)	2004	DBLP DOI BibTeX RDF
38	Andres Upegui, Carlos Andrés Peña-Reyes, Eduardo Sanchez	A Hardware Implementation of a Network of Functional Spiking Neurons with Hebbian Learning.	BioADIT	2004	DBLP DOI BibTeX RDF
38	Shih-Chii Liu	A wide-field direction-selective aVLSI spiking neuron.	ISCAS (5)	2003	DBLP DOI BibTeX RDF
38	Amine Bermak, Matihias Hojinger	Focal plane image segmentation using locally interconnected spiking pixel architecture.	ISCAS (5)	2003	DBLP DOI BibTeX RDF
38	Sander M. Bohté, Johannes A. La Poutré, Joost N. Kok	Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons.	IJCNN (3)	2000	DBLP DOI BibTeX RDF
36	Oscar H. Ibarra	Computing with Cells: Membrane Systems.	ISPAN	2008	DBLP DOI BibTeX RDF	Membrane computing, P system, spiking neural P system
36	Jean Rouat, Stéphane Loiselle, Ramin Pichevar	Towards Neurocomputational Speech and Sound Processing.	WNSP	2005	DBLP DOI BibTeX RDF	Auditory modelling, Amplitude Modulation, Cochlear Nucleus, Corrupted Speech Processing, Rank Order Coding, Speech recognition, Spiking Neurons, Temporal Correlation, Source separation, Auditory Scene Analysis
36	Sander M. Bohté	The evidence for neural information processing with precise spike-times: A survey.	Nat. Comput.	2004	DBLP DOI BibTeX RDF	precise spike timing, synchrony coding, spiking neural networks, temporal coding, neural coding
36	Brendan P. Glackin, Jim Harkin, T. Martin McGinnity, Liam P. Maguire	A Hardware Accelerated Simulation Environment for Spiking Neural Networks.	ARC	2009	DBLP DOI BibTeX RDF	FPGAs, reconfiguration, spiking neural networks, online training
36	J. David Schaffer, Heike Sichtig, Craig B. Laramee	A series of failed and partially successful fitness functions for evolving spiking neural networks.	GECCO (Companion)	2009	DBLP DOI BibTeX RDF	genetic algorithms, evolutionary computation, fitness functions, spiking neural networks
36	Haiming Chen, Mihai Ionescu, Tseren-Onolt Ishdorj, Andrei Paun, Gheorghe Paun, Mario J. Pérez-Jiménez	Spiking neural P systems with extended rules: universality and languages.	Nat. Comput.	2008	DBLP DOI BibTeX RDF	Universality, Membrane computing, Turing computability, Spiking neural P systems, Chomsky hierarchy
36	Miguel A. Gutiérrez-Naranjo, Mario J. Pérez-Jiménez, Daniel Ramírez-Martínez	A software tool for verification of Spiking Neural P Systems.	Nat. Comput.	2008	DBLP DOI BibTeX RDF	Transition diagram, Membrane computing, Spiking Neural P systems
36	Oscar H. Ibarra, Sara Woodworth	Characterizations of some classes of spiking neural P systems.	Nat. Comput.	2008	DBLP DOI BibTeX RDF	Asynchronous mode, Sequential mode, Partially blind counter machine, Spiking neural P system, Language generator, Semilinear set
36	Oscar H. Ibarra, Sara Woodworth, Fang Yu 0001, Andrei Paun	On spiking neural P systems and partially blind counter machines.	Nat. Comput.	2008	DBLP DOI BibTeX RDF	Sequential mode, Partially blind counter machine, Spiking neural P system
36	Andrzej J. Kasinski, Juliusz Pawlowski, Filip Ponulak	'SNN3DViewer' - 3D Visualization Tool for Spiking Neural Network Analysis.	ICCVG	2008	DBLP DOI BibTeX RDF	data visualization, 3D graphics, spiking neural networks
36	Maizura Mokhtar, David M. Halliday, Andy M. Tyrrell	Hippocampus-Inspired Spiking Neural Network on FPGA.	ICES	2008	DBLP DOI BibTeX RDF	Bio-inspired Hardware, FPGA, Spiking Neural Network
36	Patrick Rocke, Brian McGinley, John Maher, Fearghal Morgan, Jim Harkin	Investigating the Suitability of FPAAs for Evolved Hardware Spiking Neural Networks.	ICES	2008	DBLP DOI BibTeX RDF	FPAA Hardware Evolution, Analogue Neural Networks, Spiking Neural Networks
36	Hooman Shayani, Peter J. Bentley, Andy M. Tyrrell	A Cellular Structure for Online Routing of Digital Spiking Neuron Axons and Dendrites on FPGAs.	ICES	2008	DBLP DOI BibTeX RDF	Dendrite and Axon Growth, Synapse Formation, Digital Spiking Neuron Model, FPGA, Evolvable Hardware, Cellular
36	Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Jianyong Cai, German D. Valderrama-Gonzalez	Motion Detection Using Spiking Neural Network Model.	ICIC (2)	2008	DBLP DOI BibTeX RDF	Motion detection, visual system, spiking neural networks
36	Brian McGinley, Patrick Rocke, Fearghal Morgan, John Maher	Reconfigurable analogue hardware evolution of adaptive spiking neural network controllers.	GECCO	2008	DBLP DOI BibTeX RDF	FPAA hardware evolution, analogue neural networks., spiking neural networks
36	Kwan Ting Ng, Chen Shoushun, Farid Boussaïd, Amine Bermak	Compact Gray-Code Counter/Memory Circuits for Spiking Pixels.	DELTA	2008	DBLP DOI BibTeX RDF	Counter/memory, spiking pixel, CMOS image sensor
36	Cornelius Glackin, Liam McDaid, Liam P. Maguire, Heather M. Sayers	Implementing Fuzzy Reasoning on a Spiking Neural Network.	ICANN (2)	2008	DBLP DOI BibTeX RDF	Supervised Learning, Fuzzy Reasoning, Receptive Field, Dynamic Synapse, Spiking Neuron Model
36	Yongjun Wu, Jianhua Peng, Ming Luo	First Spiking Dynamics of Stochastic Neuronal Model with Optimal Control.	ICONIP (1)	2008	DBLP DOI BibTeX RDF	Stochastic Averaging, First-Spiking, Colored Noise, Optimal Control, Monte Carlo Simulation
36	Iren Valova, Natacha Gueorguieva, Frank Troescher, Oxana Lapteva	Modeling of inhibition/excitation firing in olfactory bulb through spiking neurons.	Neural Comput. Appl.	2007	DBLP DOI BibTeX RDF	Neural networks, Spiking neuron model, Olfactory bulb
36	Oscar H. Ibarra, Sara Woodworth	Spiking Neural P Systems: Some Characterizations.	FCT	2007	DBLP DOI BibTeX RDF	asynchronous mode, sequential mode, partially blind counter machine, Spiking neural P system, language generator, semilinear set
36	Patrick Rocke, Brian McGinley, Fearghal Morgan, John Maher	Reconfigurable Hardware Evolution Platform for a Spiking Neural Network Robotics Controller.	ARC	2007	DBLP DOI BibTeX RDF	Genetic Algorithm, Evolutionary Computation, Reconfigurable Hardware, Spiking Neural Networks, FPAA
36	David Gamez	SpikeStream: A Fast and Flexible Simulator of Spiking Neural Networks.	ICANN (1)	2007	DBLP DOI BibTeX RDF	SpikeStream, event-based simulation, synchronous simulation, biologically inspired robotics, Spiking neural networks
36	Arunava Banerjee	On the sensitive dependence on initial conditions of the dynamics of networks of spiking neurons.	J. Comput. Neurosci.	2006	DBLP DOI BibTeX RDF	Sensitive dependence, Dynamical systems, Spiking neurons