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Spike Train Analysis

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Spike Train Analysis Toolkit: Enabling Wider Application of

A Nonparametric Bayesian Alternative to Spike Sorting › ~fwood › papers › Wood-JNM-Preprint-2008.pdf · it explicitly and automatically account for its effect on spike train

Spike Train Decoding without Spike Sorting - CMU Statisticsvventura/SS.pdf · ABSTRACT We propose a novel paradigm for spike train decoding, which avoids entirely spike sorting based

Fast non-negative deconvolution for spike train ... · Fast non-negative deconvolution for spike train inferencefrom population calcium imaging Joshua T. Vogelstein, Adam M. Packer,

P.C. Bressloff and S. Coombes- A Dynamical Theory of Spike Train Transitions in Networks of Integrate-and-Fire Oscillators

A Statistical Paradigm for Neural Spike Train Decoding ......A Statistical Paradigm for Neural Spike Train Decoding Applied to Position Prediction from Ensemble Firing Patterns of

Reconstruction of sparse connectivity in neural networks ... · Mech. P03008 Reconstruction of sparse connectivity in neural networks from spike train covariances Keywords: neuronal

State-Space Analysis of Time-varying Higher-order Spike Correlation for Multiple Neural Spike Train Data

ENAS: A new software for spike train analysis and simulation

Train the Trainer: Adult Learning Principles - sos.state.mn.us · 1 Office of the Secretary of State Train the Trainer: Adult Learning Principles Office of the Minnesota Secretary

Spike Train Analysis Toolkit - Physiology Biophysics and Systems

Entropy-based parametric estimation of spike train statistics … · 2013. 12. 8. · arXiv:1003.3157v2 [physics.data-an] 26 Aug 2010 Entropy-based parametric estimation of spike

Spike train auto-structure impacts post-synaptic firing ... · Scheller et al. Spike train auto-structure impacts STDP Additionally,whenV(t) exceeds a thresholdVθ,an action poten-

Seven Principles of the “G7” - Train To Proclaim

Spike Train decoding Summary Decoding of stimulus from response –Two choice case Discrimination ROC curves –Population decoding MAP and ML estimators

A Geodesic Method for Spike Train Distances Neko Fisher Nathan VanderKraats

Spike Train Statistics from Empirical Facts to Theory: The

NDDN:ACloud-BasedNeuroinformationDatabasefor ...downloads.hindawi.com/journals/jhe/2018/3839094.pdfa spike train. Raw data were saved into ∗.mcd format by MC_Rack (Multichannel Systems,

Bayesian latent structure discovery from multi-neuron ...papers.nips.cc/paper/6185-bayesian-latent... · inferring latent structure from simultaneously recorded spike train data using

Tahereh Toosi IPM. Brief Review of Spike Train Analysis 10:30-11:3012-13 Thursday, 31 Jan Estimating the Firing Rate of Spike Trains Tahereh Toosi Introduction

RAILWAY INDUSTRY TRAIN PLANNING LEVEL 2 TRAINING Module 3 – Signalling Principles

Principles of Train working 1 and need for signalling Chapterstatic.scbist.com/scb/uploaded/331_1354714435.pdf · Principles of Train working and need for signalling ... There are

SPIKE TRAIN ANALYSIS OF SPATIAL …samondjm/lab/VUThesis.pdf · spike train analysis of spatial discriminations and functional connectivity of ... spatial discriminations and functional

Learning Precise Spike Train–to–Spike Train ...arunava/papers/nc-spiketrainlearning.pdf · The spike train–to–spike train transformation learning problem, as de-scribed above,

Nerve Cell Spike Train Data Analysis: A Progression …brill/Papers/fisher.pdfNerve Cell Spike Train Data Analysis: A Progression of Technique DAVID R. BRILLINGER* Collections of occurrence

Receptor Profiles and Gabor Framesmatilde/ReceptorFieldsSlides.pdfD. Marr, Vision: A Computational Investigation into the ... emitting a spike train receptor eld has zones ... ˙kkDmG

Train the Trainer: Adult Learning Principles

Spike Train Statistics Sabri IPM. Review of spike train Extracting information from spike trains Noisy environment: in vitro in vivo measurement

Spike Train Probability Models for Stimulus …kass/papers/lif.pdfSpike Train Probability Models for Stimulus-Driven Leaky Integrate-and-Fire Neurons Shinsuke Koyama and Robert E

Spike-timing prediction in cortical neurons with active ... · Keywords: dendrites, neuron models, cortical neurons, spike train analysis, models, theoretical. 1. INTRODUCTION. Partially

Spike Train SIMilarity Space (SSIMS): a frame- work for ...files.is.tue.mpg.de/black/papers/neco_a_00684_proof.pdf · 132 timing of a spike irrelevant, reducing all shifting costs

Strictly positive definite spike train kernels for point process ...catniplab.github.io/publications/Park2012a_spd_spike...Strictly positive definite spike train kernels for point

Neurophysiology and Behavior: Spike Trains and Fields...Final thoughts •Bridging the gap between biology/behavior-based neuroscience and computational neuroscience •Train next

Spike Train Measurement and Sortingxtof.perso.math.cnrs.fr/pdf/Pouzat_Saarbruecken_handout... · 2019. 1. 13. · 3 Spike sorting Data preprocessing: Spike sorting To exploit our

PT-Spike: A Precise-Time-Dependent Single Spike ...jin.ece.ufl.edu/papers/ASPDAC18_Spike.pdf · Precise-Time-Dependent Single Spike Neu romorphic Architecture, namely “PT-Spike”,