Search results for "spike-trains"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
266	Conor J. Houghton	Studying spike trains using a van Rossum metric with a synapse-like filter.	J. Comput. Neurosci.	2009	DBLP DOI BibTeX RDF	Song birds, Auditory pathway, Metric, Information, Spike trains
134	Pierre Baldi	Probabilistic Models of Neuronal Spike Trains.	Summer School on Neural Networks	1997	DBLP DOI BibTeX RDF
117	Yanqing Chen, Douglas A. Nitz	Use of 'relative-phase' analysis to assess correlation between neuronal spike trains.	Biol. Cybern.	2003	DBLP DOI BibTeX RDF
107	Paul H. E. Tiesinga, J. Vincent Toups	The Possible Role of Spike Patterns in Cortical Information Processing.	J. Comput. Neurosci.	2005	DBLP DOI BibTeX RDF	reliability, noise, precision, synchrony, cortex
98	António R. C. Paiva, Sudhir Rao, Il Park 0002, José C. Príncipe	Spectral Clustering of Synchronous Spike Trains.	IJCNN	2007	DBLP DOI BibTeX RDF
97	Hiroyuki Torikai, Atsuo Funew, Toshimichi Saito	Approximation of Spike-trains by Digital Spiking Neuron.	IJCNN	2007	DBLP DOI BibTeX RDF
96	Yoshito Tobe, Yosuke Tamura, Anastasio Molano, Sourav Ghosh, Hideyuki Tokuda	Achieving Moderate Fairness for UDP Flows by Path-Status Classification.	LCN	2000	DBLP DOI BibTeX RDF	moderate fairness, path-status classification, continuous UDP flow, relative one-way trip time, UDP stream, time-ROTT graph, congestion-related losses, path-status based rate control, PASTRA, Internet, Internet, transport protocols, packet switching, RTP, real-time transport protocol, continuous media, telecommunication congestion control, receiver, spike-trains
90	Hiroyuki Torikai, Yoshiaki Shimizu, Toshimichi Saito	Various spike-trains from a digital spiking neuron: analysis of inter-spike intervals and their modulation.	IJCNN	2006	DBLP DOI BibTeX RDF
90	Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner	The Spike Response Model: A Framework to Predict Neuronal Spike Trains.	ICANN	2003	DBLP DOI BibTeX RDF
89	Zareen Mehboob, Stefano Panzeri, Mathew E. Diamond, Hujun Yin	Topological clustering of synchronous spike trains.	IJCNN	2008	DBLP DOI BibTeX RDF
88	Vasile V. Moca, Danko Nikolic, Raul Cristian Muresan	Real and Modeled Spike Trains: Where Do They Meet?.	ICANN (2)	2008	DBLP DOI BibTeX RDF
88	Shi-min Wang, Qishao Lu, Ying Du	A Method for Quantifying Temporal and Spatial Patterns of Spike Trains.	ICNC (1)	2005	DBLP DOI BibTeX RDF
82	Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa	Detection of a Dynamical System Attractor from Spike Train Analysis.	ICANN (1)	2006	DBLP DOI BibTeX RDF
81	Neel T. Shah, Luk-Chong Yeung, Leon N. Cooper, Yidao Cai, Harel Z. Shouval	A Biophysical Basis for the Inter-spike Interaction of Spike-timing-dependent Plasticity.	Biol. Cybern.	2006	DBLP DOI BibTeX RDF
80	John D. Hunter, Jianhong Wu, John G. Milton	Clustering neural spike trains with transient responses.	CDC	2008	DBLP DOI BibTeX RDF
73	Hiroyuki Torikai, Hiroshi Hamanaka, Toshimichi Saito	Pulse Codings of a Spiking Neuron Having Quantized State.	KES	2004	DBLP DOI BibTeX RDF
72	Yan Liu 0007, Liujun Chen, Jiawei Chen 0005, Fangfeng Zhang, Fukang Fang	Discussion on the Spike Train Recognition Mechanisms in Neural Circuits.	International Conference on Computational Science (4)	2007	DBLP DOI BibTeX RDF	inter-spike intervals, response delay time, neural circuit, spike train
72	Katsunori Kitano, Tomoki Fukai	Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies.	J. Comput. Neurosci.	2007	DBLP DOI BibTeX RDF	Neuronal wiring, Irregular firing, Computational model, Small-world network, Synchrony
71	Leonel Gómez, Ruben Budelli, Rafael Saa, Michael Stiber, José Pedro Segundo	Pooled spike trains of correlated presynaptic inputs as realizations of cluster point processes.	Biol. Cybern.	2005	DBLP DOI BibTeX RDF
71	Takahiro Kabe, Hiroyuki Torikai, Toshimichi Saito	Synchronization Via Multiplex Spike-Trains in Digital Pulse Coupled Networks.	ICONIP (3)	2006	DBLP DOI BibTeX RDF
71	Martin P. Nawrot, Ad Aertsen, Stefan Rotter	Elimination of response latency variability in neuronal spike trains.	Biol. Cybern.	2003	DBLP DOI BibTeX RDF
68	Hujun Yin, Stefano Panzeri, Zareen Mehboob, Mathew E. Diamond	Decoding Population Neuronal Responses by Topological Clustering.	ICANN (2)	2008	DBLP DOI BibTeX RDF	barrel cortex, clustering, mutual information, self-organising maps, Spike trains
64	Yasuaki Kuroe, Hitoshi Iima	A Learning Method for Synthesizing Spiking Neural Oscillators.	IJCNN	2006	DBLP DOI BibTeX RDF
63	Peter Stratton, Janet Wiles	Comparing Kurtosis Score to Traditional Statistical Metrics for Characterizing the Structure in Neural Ensemble Activity.	Summer School on Neural Networks	2007	DBLP DOI BibTeX RDF
55	Razvan V. Florian	Tempotron-Like Learning with ReSuMe.	ICANN (2)	2008	DBLP DOI BibTeX RDF
55	Michael Eichler, Rainer Dahlhaus, Jürgen Sandkühler	Partial correlation analysis for the identification of synaptic connections.	Biol. Cybern.	2003	DBLP DOI BibTeX RDF
55	Chris Christodoulou, Trevor G. Clarkson	A Review on the Stochastic Firing Behaviour of Real Neurons and How it can be Modelled.	IWANN	1995	DBLP DOI BibTeX RDF
54	Udo A. Ernst, David Rotermund, Klaus Pawelzik	An Algorithm for Fast Pattern Recognition with Random Spikes.	DAGM-Symposium	2004	DBLP DOI BibTeX RDF
54	Hiroshi Hamanaka, Hiroyuki Torikai, Toshimichi Saito	A Spiking Oscillator with Quantized State and Its Pulse Coding Characteristics.	ICONIP	2004	DBLP DOI BibTeX RDF
54	Lon Risinger, Khosrow Kaikhah	Motion detection and object tracking with discrete leaky integrate-and-fire neurons.	Appl. Intell.	2008	DBLP DOI BibTeX RDF	Object tracking, Motion detection, Integrate-and-fire neuron
54	Ilan N. Goodman, Don H. Johnson	Information theoretic bounds on neural prosthesis effectiveness: The importance of spike sorting.	ICASSP	2008	DBLP DOI BibTeX RDF
54	Richard H. R. Hahnloser	Cross-intensity functions and the estimate of spike-time jitter.	Biol. Cybern.	2007	DBLP DOI BibTeX RDF
46	Adrien Wohrer, Pierre Kornprobst	Virtual Retina : A biological retina model and simulator, with contrast gain control.	J. Comput. Neurosci.	2009	DBLP DOI BibTeX RDF	Large-scale retina simulator, Contrast gain control, Spikes, Conductances
46	Hiroyuki Torikai, Sho Hashimoto	A hardware-oriented learning algorithm for a digital spiking neuron.	IJCNN	2008	DBLP DOI BibTeX RDF
46	Tomonari Hasegawa, Yusuke Matsuoka, Toshimichi Saito	Analysis of inter-spike interval characteristics of piecewise constant chaotic spiking oscillators.	IJCNN	2008	DBLP DOI BibTeX RDF
46	Yoshiyuki Asai, Takashi Yokoi, Alessandro E. P. Villa	Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model.	ICANN (1)	2007	DBLP DOI BibTeX RDF
46	Guang-Li Wang, Xue Liu 0002, Pu-Ming Zhang, Pei-Ji Liang	A New Method for Multiple Spike Train Analysis Based on Information Discrepancy.	ICONIP (1)	2006	DBLP DOI BibTeX RDF
46	Petr Marsalek, Petr Lánský	Proposed mechanisms for coincidence detection in the auditory brainstem.	Biol. Cybern.	2005	DBLP DOI BibTeX RDF
46	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
45	A. John van Opstal, H. H. L. M. Goossens	Linear ensemble-coding in midbrain superior colliculus specifies the saccade kinematics.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF	Spatial accuracy, Main sequence, Monkey, Nonlinearity, Saccades, Population coding
45	Tayfun Gürel, Ulrich Egert, Steffen Kandler, Luc De Raedt, Stefan Rotter	Predicting Spike Activity in Neuronal Cultures.	IJCNN	2007	DBLP DOI BibTeX RDF
45	Aya Tanaka, Hiroyuki Torikai, Toshimichi Saito	A/D and D/A converters by spike-interval modulation of simple spiking neurons.	ISCAS	2006	DBLP DOI BibTeX RDF
45	Nicolas Langlois, Pierre Miché, Abdelaziz Bensrhair	Analogue Circuits of a Learning Spiking Neuron Model.	IJCNN (4)	2000	DBLP DOI BibTeX RDF
45	Ulrich Roth, Axel Jahnke, Heinrich Klar	Hardware Requirements for Spike-Processing Neural Networks.	IWANN	1995	DBLP DOI BibTeX RDF
43	Yasuo Matsuyama, Nimiko Ochiai, Takashi Hatakeyama, Keita Noguchi	Multimodal human-humanoid interaction using motions, brain nirs and spike trains.	HRI	2010	DBLP DOI BibTeX RDF	brain nirs, hmm/svm-embedded bn, human-humanoid interaction, neural spike train, sensory transducing, multimodal, motion recognition, non-verbal
43	Justin Dauwels, François B. Vialatte, Theophane Weber, Andrzej Cichocki	On Similarity Measures for Spike Trains.	ICONIP (1)	2008	DBLP DOI BibTeX RDF
41	Sonja Grün, Moshe Abeles, Markus Diesmann	Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data.	Summer School on Neural Networks	2007	DBLP DOI BibTeX RDF	spike synchronization, higher-order synchrony, massively, parallel spike trains
37	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
37	Yoshiyuki Asai, Alessandro E. P. Villa	Effect of the Background Activity on the Reconstruction of Spike Train by Spike Pattern Detection.	ICANN (2)	2008	DBLP DOI BibTeX RDF
37	Tomonari Hasegawa, Toshimichi Saito	Bifurcation and Windows in a Simple Piecewise Linear Chaotic Spiking Neuron.	ICONIP (1)	2008	DBLP DOI BibTeX RDF
37	Greg J. Stephens, Sergio Neuenschwander, John S. George, Wolf Singer, Garrett T. Kenyon	See globally, spike locally: oscillations in a retinal model encode large visual features.	Biol. Cybern.	2006	DBLP DOI BibTeX RDF
37	Shih-Chii Liu, Matthias Oster	Feature competition in a spike-based winner-take-all VLSI network.	ISCAS	2006	DBLP DOI BibTeX RDF
37	Yoav Tock, Gideon F. Inbar, Yossef Steinberg, Milos Ljubisavljevic, J. Thunberg, Uwe Windhorst, Håkan Johansson	Estimation of muscle spindle information rate by pattern matching and the effect of gamma system activity on parallel spindles.	Biol. Cybern.	2005	DBLP DOI BibTeX RDF
37	Henry D. I. Abarbanel, Leif Gibb, Ramón Huerta, Mikhail I. Rabinovich	Biophysical model of synaptic plasticity dynamics.	Biol. Cybern.	2003	DBLP DOI BibTeX RDF
37	Thomas Y. W. Choi, Bertram Emil Shi, Kwabena Boahen 0001	An orientation selective 2D AER transceiver.	ISCAS (4)	2003	DBLP DOI BibTeX RDF
37	David M. Halliday	Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays.	Emergent Neural Computational Architectures Based on Neuroscience	2001	DBLP DOI BibTeX RDF
36	Robin S. Sidhu, Erik C. Johnson, Douglas L. Jones, Rama Ratnam	A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains.	Biol. Cybern.	2022	DBLP DOI BibTeX RDF
36	Pietro Quaglio, Vahid Rostami, Emiliano Torre, Sonja Grün	Methods for identification of spike patterns in massively parallel spike trains.	Biol. Cybern.	2018	DBLP DOI BibTeX RDF
36	Alper Yegenoglu, Pietro Quaglio, Emiliano Torre, Sonja Grün, Dominik Endres	Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains.	ICCS	2016	DBLP DOI BibTeX RDF
36	David Picado-Muiño, Iván Castro León, Christian Borgelt	Fuzzy characterization of spike synchrony in parallel spike trains.	Soft Comput.	2014	DBLP DOI BibTeX RDF
36	Brett Matthews, Mark A. Clements	Spike Sorting by Joint Probabilistic Modeling of Neural Spike Trains and Waveforms.	Comput. Intell. Neurosci.	2014	DBLP DOI BibTeX RDF
36	Narutoshi Horimoto, Toshimichi Saito	Analysis of various transient phenomena and co-existing periodic spike-trains in simple digital spike maps.	IJCNN	2013	DBLP DOI BibTeX RDF
36	Matthieu Gilson, Tomoki Fukai, Anthony N. Burkitt	Spectral Analysis of Input Spike Trains by Spike-Timing-Dependent Plasticity.	PLoS Comput. Biol.	2012	DBLP DOI BibTeX RDF
36	Takashi Ogawa, Toshimichi Saito	Self-Organizing Digital Spike Maps for Learning of Spike-Trains.	IEICE Trans. Fundam. Electron. Commun. Comput. Sci.	2011	DBLP DOI BibTeX RDF
36	Dmitry R. Lyamzin, Jakob H. Macke, Nicholas A. Lesica	Modeling Population Spike Trains with Specified Time-Varying Spike Rates, Trial-to-Trial Variability, and Pairwise Signal and Noise Correlations.	Frontiers Comput. Neurosci.	2010	DBLP DOI BibTeX RDF
36	Christo Panchev, Stefan Wermter	Spike-timing-dependent synaptic plasticity: from single spikes to spike trains.	Neurocomputing	2004	DBLP DOI BibTeX RDF
36	Jonathan Touboul, Romain Brette	Dynamics and bifurcations of the adaptive exponential integrate-and-fire model.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF	Dynamical systems, Chaos, Bifurcations, Integrate-and-fire, Spiking neuron models
36	Jirí Síma	Gradient Learning in Networks of Smoothly Spiking Neurons.	ICONIP (2)	2008	DBLP DOI BibTeX RDF
36	Karl P. Dockendorf, Thomas B. DeMarse	Amplitude and Spike Timing Dependent Plasticity.	IJCNN	2007	DBLP DOI BibTeX RDF
36	Yiwen Wang 0002, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez	A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces.	IJCNN	2007	DBLP DOI BibTeX RDF
36	Hiroyuki Torikai	Fundamental Analysis of a Digital Spiking Neuron for Its Spike-Based Coding.	ICONIP (2)	2007	DBLP DOI BibTeX RDF
36	Giacomo Indiveri, Elisabetta Chicca, Rodney J. Douglas	A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity.	IEEE Trans. Neural Networks	2006	DBLP DOI BibTeX RDF
36	Yoshio Kon'no, Toshimichi Saito, Hiroyuki Torikai	Rich spike-synchronization phenomena of pulse-coupled bifurcating neurons.	ISCAS (3)	2005	DBLP DOI BibTeX RDF
36	Burak Güçlü, Stanley J. Bolanowski	Tristate Markov Model for the Firing Statistics of Rapidly-Adapting Mechanoreceptive Fibers.	J. Comput. Neurosci.	2004	DBLP DOI BibTeX RDF	mechanoreceptor, rapidly-adapting fiber, Meissner corpuscle, sinusoidal response, Markov process
36	Yoav Tock, Milos Ljubisavljevic, J. Thunberg, Uwe Windhorst, Gideon F. Inbar, Håkan Johansson	Information-theoretic analysis of de-efferented single muscle spindles.	Biol. Cybern.	2002	DBLP DOI BibTeX RDF
27	Kilian Koepsell, Friedrich T. Sommer	Information transmission in oscillatory neural activity.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF
27	John J. Wade, Liam McDaid, Jose A. Santos 0001, Heather M. Sayers	SWAT: An unsupervised SNN training algorithm for classification problems.	IJCNN	2008	DBLP DOI BibTeX RDF
27	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
27	Andrzej W. Przybyszewski, Paul S. Linsay, Paolo Gaudiano, Christopher M. Wilson 0001	Basic Difference Between Brain and Computer: Integration of Asynchronous Processes Implemented as Hardware Model of the Retina.	IEEE Trans. Neural Networks	2007	DBLP DOI BibTeX RDF
27	Antonio Pazienti, Markus Diesmann, Sonja Grün	Bounds of the Ability to Destroy Precise Coincidences by Spike Dithering.	BVAI	2007	DBLP DOI BibTeX RDF	multi-channel recording, surrogate data, correlation, Monte-Carlo, spike train
27	Ismail Uysal, Harsha Sathyendra, John G. Harris	Spike-Based Feature Extraction for Noise Robust Speech Recognition Using Phase Synchrony Coding.	ISCAS	2007	DBLP DOI BibTeX RDF
27	Il Park 0002, António R. C. Paiva, José C. Príncipe, John G. Harris	A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters.	IJCNN	2007	DBLP DOI BibTeX RDF
27	Florian Kaiser, Fridtjof Feldbusch	Building a Bridge Between Spiking and Artificial Neural Networks.	ICANN (1)	2007	DBLP DOI BibTeX RDF
27	Srinjoy Mitra, Stefano Fusi, Giacomo Indiveri	A VLSI spike-driven dynamic synapse which learns only when necessary.	ISCAS	2006	DBLP DOI BibTeX RDF
27	Adria Bofill-i-Petit, Alan F. Murray	Learning temporal correlations in biologically-inspired aVLSI.	ISCAS (5)	2003	DBLP DOI BibTeX RDF
27	Werner M. Kistler	Spike-timing dependent synaptic plasticity: a phenomenological framework.	Biol. Cybern.	2002	DBLP DOI BibTeX RDF
25	Yijia Ma, Wei Wu	A novel point process model for neuronal spike trains.	Frontiers Appl. Math. Stat.	2024	DBLP DOI BibTeX RDF
25	Andreas Theocharous, Georgia G. Gregoriou, Panagiotis Sapountzis, Ioannis Kontoyiannis	Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains.	IEEE Trans. Signal Process.	2024	DBLP DOI BibTeX RDF
25	Panagiotis Mougkogiannis, Andrew Adamatzky	Spike Trains in PANI-Proteinoid Nanofibers with Different Light Pulse Rates.		2024	DOI RDF
25	Andreas Theocharous, Georgia G. Gregoriou, Panagiotis Sapountzis, Ioannis Kontoyiannis	Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains.	CoRR	2023	DBLP DOI BibTeX RDF
25	Jake Witter, Conor J. Houghton	Estimating mutual information for spike trains: a bird song example.	CoRR	2023	DBLP DOI BibTeX RDF
25	Miroslaw Pawlak, Mateusz Pabian, Dominik Rzepka	Bayes Risk Consistency of Nonparametric Classification Rules for Spike Trains Data.	CoRR	2023	DBLP DOI BibTeX RDF
25	Matthew Dowling, Yuan Zhao 0004, Il Memming Park	Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains.	CoRR	2023	DBLP DOI BibTeX RDF
25	Jake Witter, Conor J. Houghton	Estimating Mutual Information for Spike Trains: A Bird Song Example.	Entropy	2023	DBLP DOI BibTeX RDF
25	Anik Chattopadhyay, Arunava Banerjee	Beyond Rate Coding: Signal Coding and Reconstruction Using Lean Spike Trains.	ICASSP	2023	DBLP DOI BibTeX RDF
25	Tengjun Liu, Yuxiao Ning, Pengfu Liu, Yiwei Zhang, Yansong Chua, Weidong Chen, Shaomin Zhang	Modularity Facilitates Classification Performance of Spiking Neural Networks for Decoding Cortical Spike Trains.	EMBC	2023	DBLP DOI BibTeX RDF
25	Tuoru Li, Jie Yang, Tengjun Liu, Shurong Dong, Chaoming Fang, Weidong Chen, Shaomin Zhang	A Sparsity-Adapted Hardware Implementation of SNN for Cortical Spike Trains Decoding.	BioCAS	2023	DBLP DOI BibTeX RDF
25	Matthew Dowling, Yuan Zhao 0004, Il Memming Park	Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains.	ICML	2023	DBLP BibTeX RDF
25	Peter Szabó, Péter Barthó	Decoding neurobiological spike trains using recurrent neural networks: a case study with electrophysiological auditory cortex recordings.	Neural Comput. Appl.	2022	DBLP DOI BibTeX RDF
25	Yugarshi Mondal, Rodrigo F. O. Pena, Horacio G. Rotstein	Temporal filters in response to presynaptic spike trains: interplay of cellular, synaptic and short-term plasticity time scales.	J. Comput. Neurosci.	2022	DBLP DOI BibTeX RDF