flips's glm [59 articles] Export

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	Decoding Movement Trajectories Through a T-Maze Using Point Process Filters Applied to Place Field Data from Rat Hippocampal Region CA1 [My Copy] Neural Computation, Vol. 21, No. 12. (1 December 2009), pp. 3305-3334. by Yifei Huang, Mark P. Brandon, Amy L. Griffin, Michael E. Hasselmo, Uri T. Eden posted to statespace splines pointprocess placecells gp glm decoding by flips on 2009-11-24 10:33:27 as along with 3 people bayesian abogaard ckemere
	Precision of Spike Trains in Primate Retinal Ganglion Cells [My Copy] J Neurophysiol, Vol. 92, No. 2. (1 August 2004), pp. 780-789. by V. J. Uzzell, E. J. Chichilnisky posted to glm by flips on 2009-09-03 18:01:17 as along with 2 people and 1 group klouie bayesian Glimcher_Lab
	The effect of global context on the encoding of natural scenes [My Copy] BMC Neuroscience, Vol. 10, No. 1. (2009) by R. Haslinger, B. Lima, G. Pipa, E. Brown, S. Neuenschwander posted to naturalstimuli lfp glm context by flips on 2009-09-03 16:35:38 as
	A comparison of spike time prediction and receptive field mapping with point process generalized linear models, Wiener-Voltera kernels, and spike-triggered averaging methods [My Copy] BMC Neuroscience, Vol. 10, No. 1. (2009) by G. Pipa, S. Neuenschwander, B. Lima, Z. Chen, E. Brown posted to wienervolterra v1 sta receptivefield radon prediction pointprocess glm by flips on 2009-09-03 16:29:09 as
	Spike-timing prediction in a neuron model with active dendrites [My Copy] BMC Neuroscience, Vol. 10, No. 1. (2009) by R. Naud, B. Bathellier, W. Gerstner posted to singleneuron glm activedendrite by flips on 2009-09-03 16:05:28 as
	Regression Analysis Under Link Violation [My Copy] The Annals of Statistics, Vol. 17, No. 3. (1989), pp. 1009-1052. by Ker C. Li, Naihua Duan posted to linkfunction glm by flips on 2009-08-29 17:30:04 as along with 1 person vplagnol
	Statistical models for neural encoding, decoding, and optimal stimulus design [My Copy] Progress in brain research, Vol. 165 (2007) by L. Paninski, J. Pillow, J. Lewi posted to optimaldesign glm decoding by flips on 2009-08-27 14:06:24 as
	Functional identification of biological neural networks using reservoir adaptation for point processes [My Copy] Journal of Computational Neuroscience (29 July 2009) by Tayfun Gürel, Stefan Rotter, Ulrich Egert posted to reservoir pointprocess glm by flips on 2009-08-12 15:14:06 as
	A new look at state-space models for neural data. [My Copy] Journal of Computational Neuroscience (1 August 2009) by Liam Paninski, Yashar Ahmadian, Daniel G. Ferreira, et al.Shinsuke Koyama, Kamiar R. Rad, Michael Vidne, Joshua Vogelstein, Wei Wu posted to statespace population optimization mcmc likelihood hmm glm em decoding bayes by flips on 2009-08-12 12:34:27 as along with 4 people fbaroni flieder bayesian subhacom
	Biases in white noise analysis due to non-Poisson spike generation [My Copy] Neurocomputing, Vol. 52, No. 54. (2003), pp. 109-115. by J. W. Pillow, E. P. Simoncelli posted to whitenoise sta glm by flips on 2009-07-29 13:33:56 as
	Sequential optimal design of neurophysiology experiments. [My Copy] Neural computation, Vol. 21, No. 3. (17 March 2009), pp. 619-687. by J. Lewi, R. Butera, L. Paninski posted to optimaldesign glm by flips on 2009-07-29 13:29:06 as along with 4 people PaperCollector flieder bayesian sen_cheng
	Extracting non-linear integrate-and-fire models from experimental data using dynamic I - V curves [My Copy] Biological Cybernetics, Vol. 99, No. 4. (1 November 2008), pp. 361-370. by Laurent Badel, Sandrine Lefort, Thomas Berger, Carl Petersen, Wulfram Gerstner, Magnus Richardson posted to linkfunction iaf glm by flips on 2009-07-29 13:26:22 as along with 1 person marekrud
	Maximally reliable Markov chains under energy constraints. [My Copy] Neural computation, Vol. 21, No. 7. (17 July 2009), pp. 1863-1912. by S. Escola, M. Eisele, K. Miller, L. Paninski posted to energy glm hmm markov by flips on 2009-07-29 13:21:44 as along with 1 person bayesian
	Bayesian Inference for Sparse Generalized Linear Models [My Copy] Machine Learning, ECML (2007), pp. 298-309. by Matthias Seeger, Sebastian Gerwinn, Matthias Bethge posted to sparse glm bayes by flips on 2009-07-29 12:58:07 as
	Dynamic I - V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces [My Copy] J Neurophysiol, Vol. 99, No. 2. (1 February 2008), pp. 656-666. by Laurent Badel, Sandrine Lefort, Romain Brette, Carl C. H. Petersen, Wulfram Gerstner, Magnus J. E. Richardson posted to linkfunction glm by flips on 2009-07-29 12:56:42 as along with 2 people bayesian fbaroni
	Organization of cell assemblies in the hippocampus [My Copy] Nature, Vol. 424, No. 6948. (31 July 2003), pp. 552-556. by Kenneth D. Harris, Jozsef Csicsvari, Hajime Hirase, George Dragoi, Gyorgy Buzsaki posted to theta review hippocampus glm assembly by flips on 2009-07-29 12:48:33 as along with 4 people Kbenchenane batallah xlli apeyrache
	Statistical encoding model for a primary motor cortical brain-machine interface [My Copy] IEEE Transactions on Biomedical Engineering In Biomedical Engineering, IEEE Transactions on, Vol. 52, No. 7. (2005), pp. 1312-1322. by S. Shoham, L. M. Paninski, M. R. Fellows, N. G. Hatsopoulos, J. P. Donoghue, R. A. Normann posted to lnp glm decoding bmi by flips on 2009-07-29 12:46:56 as
	Selecting the signals for a brain-machine interface. [My Copy] Current Opinion in Neurobiology, Vol. 14, No. 6. (December 2004), pp. 720-726. by R. A. Andersen, S. Musallam, B. Pesaran posted to bmi glm lfp by flips on 2009-07-06 16:15:04 as
	Measure of correlation orthogonal to change in firing rate. [My Copy] Neural computation, Vol. 21, No. 4. (April 2009), pp. 960-972. by S. Amari posted to correlation glm nonstationarities population by flips on 2009-07-05 14:18:31 as along with 2 people PaperCollector bayesian
	Generalized linear mixed models: a practical guide for ecology and evolution. [My Copy] Trends in ecology & evolution (Personal edition), Vol. 24, No. 3. (28 January 2009), pp. 127-135. by B. Bolker, M. Brooks, C. Clark, et al.S. Geange, J. Poulsen, M. Stevens, J. White posted to glm review by flips on 2009-06-29 22:23:57 as along with 16 people and 1 group ltitodem kaiserm pauljohn32 mariawolters cbniles roodubh Gorzomagnificent neteler tonamswish AndrewD kevinpdavies guhjy jmeppley iBartomeus pepime dmajka behavior_flexibility
	Likelihood functions for multivariate point processes with coincidences. [My Copy] Decision and Control, 2007 46th IEEE Conference on In Decision and Control, 2007 46th IEEE Conference on (2007), pp. 4245-4250. by V. Solo posted to glm higherorder likelihood multivariate pointprocess by flips on 2009-06-25 22:08:56 as
	Hippocampal plasticity across multiple days of exposure to novel environments. [My Copy] J Neurosci, Vol. 24, No. 35. (1 September 2004), pp. 7681-7689. by L. M. Frank, G. B. Stanley, E. N. Brown posted to glm statespace by flips on 2009-06-25 14:02:12 as along with 2 people thomas_wills sen_cheng
	Contrasting patterns of receptive field plasticity in the hippocampus and the entorhinal cortex: an adaptive filtering approach. [My Copy] Journal of Neuroscience, Vol. 22, No. 9. (1 May 2002), pp. 3817-3830. by Loren M. Frank, Uri T. Eden, Victor Solo, Matthew A. Wilson, Emery N. Brown posted to glm statespace by flips on 2009-06-25 14:01:21 as along with 1 person ezaydens
	Trial-to-Trial Variability and Its Effect on Time-Varying Dependency Between Two Neurons [My Copy] J Neurophysiol, Vol. 94, No. 4. (1 October 2005), pp. 2928-2939. by Valerie Ventura, Can Cai, Robert E. Kass posted to glm trial by flips on 2009-06-25 13:38:00 as
	An analysis of neural receptive field plasticity by point process adaptive filtering [My Copy] PNAS, Vol. 98, No. 21. (9 October 2001), pp. 12261-12266. by Emery N. Brown, David P. Nguyen, Loren M. Frank, Matthew A. Wilson, Victor Solo posted to statespace glm by flips on 2009-06-25 13:22:00 as along with 2 people xlli apeyrache
	Ruling out and ruling in neural codes [My Copy] Proceedings of the National Academy of Sciences, Vol. 106, No. 14. (7 April 2009), pp. 5936-5941. by Adam L. Jacobs, Gene Fridman, Robert M. Douglas, et al.Nazia M. Alam, Peter Latham, Glen T. Prusky, Sheila Nirenberg posted to bayes cnswork coding decoding glm imi jclub population psth retina splines by flips on 2009-06-23 22:39:59 as along with 1 person bayesian
	Statistical issues in the analysis of neuronal data. [My Copy] Journal of Neurophysiology, Vol. 94, No. 1. (July 2005), pp. 8-25. by Robert E. Kass, Valérie Ventura, Emery N. Brown posted to spikesorting review psth nonstationarities likelihood glm decoding correlation bayes by flips on 2009-06-22 16:50:09 as along with 5 people bsuter brian bayesian napvasconcelos ezaydens
	Predicting response variability in the primary visual cortex [My Copy] In Proc. Computational and Systems Neuroscience, COSYNE'08, Salk Lake City (2008) by Timothy J. Blanche, Kilian Koepsell, Nicholas Swindale, Bruno A. Olshausen posted to glm lfp by flips on 2009-06-21 16:34:44 as
	Modeling the influence of local network activity on neuron spiking responses in primary visual cortex [My Copy] In Proc. Computational and Systems Neuroscience, COSYNE'08, Salk Lake City (2008) by Kilian Koepsell, Timothy J. Blanche, Nicholas Swindale, Bruno A. Olshausen posted to glm lfp by flips on 2009-06-21 16:29:55 as
	Likelihood-based approaches to modeling the neural code [My Copy] (2007) by J. Pillow posted to transferfunction stc sta population lnp likelihood lif glm decoding crossvalidation by flips on 2009-06-21 15:15:35 as
	Bayesian Inference of Functional Connectivity and Network Structure From Spikes. [My Copy] IEEE transactions on neural systems and rehabilitation engineering (9 December 2008) by I. Stevenson, J. Rebesco, N. Hatsopoulos, Z. Haga, L. Miller, K. Körding posted to bayesian connectivity glm population by flips on 2009-06-21 15:07:35 as
	Bayesian inference for spiking neuron models with a sparsity prior [My Copy] Advances in Neural Information Processing Systems, Vol. 20 (2007) by S. Gerwinn, J. Macke, M. Seeger, M. Bethge posted to sparse glm bayesian by flips on 2009-06-21 15:05:59 as
	Bayesian modelling and analysis of spatio-temporal neuronal networks [My Copy] Bayesian Analysis, Vol. 1, No. 4. (2006), pp. 733-764. by F. Rigat, M. de Gunst, J. van Pelt posted to bayes bayesian conditionalintensity connectivity glm pointprocess population timerescaling by flips on 2009-06-21 14:59:45 as
	A note on a general definition of the coefficient of determination [My Copy] Biometrika, Vol. 78, No. 3. (1 September 1991), pp. 691-692. by N. J. D. Nagelkerke posted to coefficientofdetermination explainedvariance glm gof by flips on 2009-06-16 20:23:23 as along with 2 people fabiobayer almostc
	Synchronized firing in the retina [My Copy] Current Opinion in Neurobiology (27 October 2008) by J. Shlens, F. Rieke, E. Chichilnisky posted to correlation glm maximumentropy population retina review synchrony by flips on 2009-06-12 16:21:11 as along with 2 people and 1 group adriangalo bayesian Gap Junction, Hemichannels and Retina discussion
	Spike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons. [My Copy] Neural computation, Vol. 20, No. 7. (July 2008), pp. 1776-1795. by Shinsuke Koyama, Robert E. Kass posted to glm iaf nonstationarity rescaling by flips on 2009-05-25 14:38:10 as along with 3 people bayesian memming sen_cheng
	Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness. [My Copy] Neural computation (29 December 2008) by Taro Toyoizumi, Kamiar Rahnama R. Rad, Liam Paninski posted to population glm by flips on 2009-05-25 14:34:02 as
	Maximum likelihood identification of neural point process systems [My Copy] Biological Cybernetics, Vol. 59, No. 4. (7 September 1988), pp. 265-275. by E. Chornoboy, L. Schramm, A. Karr posted to glm pointprocess by flips on 2009-05-21 20:12:54 as
	Comment on “Likelihood analysis of point processes and its applications to seismological data” by Ogata [My Copy] Bulletin Internatl. Stat. Instit, Vol. 50 (1983), pp. 412-418. by M. Berman posted to glm ks pointprocess residual timerescaling by flips on 2009-05-21 17:09:01 as
	In all likelihood: statistical modelling and inference using likelihood [My Copy] (2001) by Y. Pawitan posted to book glm by flips on 2009-05-21 15:57:01 as
	Statistical inference [My Copy] (2002) by G. Casella, R. L. Berger, R. L. Berger posted to book glm by flips on 2009-05-21 15:55:50 as
	$My PDF berry_98_refractoriness.pdf$ Refractoriness and neural precision. [My Copy] J Neurosci, Vol. 18, No. 6. (15 March 1998), pp. 2200-2211. by M. J. Berry, M. Meister posted to conditionalintensity glm nonstationarities poisson renewal retina by flips on 2009-05-20 19:10:52 as along with 4 people and 2 groups memming brian mbolding bayesian Functional_Imaging Neuroscience
	Maximum likelihood analysis of spike trains of interacting nerve cells [My Copy] Biological Cybernetics, Vol. 59, No. 3. (7 August 1988), pp. 189-200. by D. Brillinger posted to binary glm by flips on 2009-05-20 18:41:02 as
	Thalamic filtering of retinal spike trains by postsynaptic summation. [My Copy] Journal of Vision, Vol. 7, No. 14. (2007) by M. Carandini, J. C. Horton, L. C. Sincich posted to spikes prediction glm data by flips on 2009-05-18 12:00:06 as
	Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. [My Copy] Neural computation, Vol. 16, No. 12. (December 2004), pp. 2533-2561. by L. Paninski, J. W. Pillow, E. P. Simoncelli posted to glm lnp by flips on 2009-05-15 14:34:29 as along with 5 people fbaroni brian bayesian sbarthelme dmschneid
	Likelihood methods for neural spike train data analysis [My Copy] Computational neuroscience: A comprehensive approach (2003) by E. N. Brown, R. Barbieri, U. T. Eden, L. M. Frank posted to conditionalintensity glm gof likelihood by flips on 2009-04-29 16:39:07 as
	Statistical models for earthquake occurrences and residual analysis for point processes [My Copy] Journal of the American Statistical Association (1988), pp. 9-27. by Y. Ogata posted to aic glm gof ks pointprocess residual timerescaling by flips on 2009-04-29 15:01:02 as
	An Introduction to the Theory of Point Processes: 1 (Probability and Its Applications) [My Copy] (14 June 2005) by D. J. Daley, D. Vere-Jones posted to book glm pointprocess by flips on 2009-04-08 15:48:43 as
	Generalized linear models [My Copy] (1989) by P. Mccullagh, J. A. Nelder posted to book glm by flips on 2009-04-02 21:22:57 as
	Estimating a state-space model from point process observations. [My Copy] Neural computation, Vol. 15, No. 5. (1 May 2003), pp. 965-991. by Anne C. Smith, Emery N. Brown posted to glm hmm pointprocess statespace by flips on 2009-04-02 20:32:17 as along with 3 people bayesian DavidSchulz sen_cheng

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population	66
glm	59
correlation	35
review	34
v1	31
decoding	30
fun	29
hmm	29
higherorder	22
book	20
bayes	19
burst	19
coding	19
maximumentropy	18
retina	18
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statespace	17
cnswork	16
information	15
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spikes	15
natural	14
poisson	14
receptivefield	14
hmm_ref	13
ica	13
isi	13
lnp	13
conditionalintensity	12
rescaling	11
synchrony	11
spikesorting	10
connectivity	9
energy	9
intrinsicplasticity	9
poisson_reference	9
bursts	8
jclub	8
lfp	8
cortex	7
iaf	7
informationtheory	7
likelihood	7
linkfunction	7
optimization	7
sparse	7
bayesian	6
ethics	6
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kstest	6
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vta	1
weibull	1
whisker	1
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wienervolterra	1
zsom	1

flips's glm [59 articles] Export

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