Johannes Friedrich
Johannes Friedrich
Flatiron Institute
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Cited by
Cited by
CaImAn an open source tool for scalable calcium imaging data analysis
A Giovannucci, J Friedrich, P Gunn, J Kalfon, BL Brown, SA Koay, ...
elife 8, e38173, 2019
Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data
P Zhou, SL Resendez, J Rodriguez-Romaguera, JC Jimenez, SQ Neufeld, ...
elife 7, e28728, 2018
Fast online deconvolution of calcium imaging data
J Friedrich, P Zhou, L Paninski
PLoS computational biology 13 (3), e1005423, 2017
Bright and photostable chemigenetic indicators for extended in vivo voltage imaging
AS Abdelfattah, T Kawashima, A Singh, O Novak, H Liu, Y Shuai, ...
Science 365 (6454), 699-704, 2019
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data
P Berens, J Freeman, T Deneux, N Chenkov, T McColgan, A Speiser, ...
PLoS computational biology 14 (5), e1006157, 2018
Spatio-temporal credit assignment in neuronal population learning
J Friedrich, R Urbanczik, W Senn
PLoS computational biology 7 (6), e1002092, 2011
Goal-directed decision making with spiking neurons
J Friedrich, M Lengyel
Journal of Neuroscience 36 (5), 1529-1546, 2016
OnACID: Online Analysis of Calcium Imaging Data in Real Time
EAP Andrea Giovannucci, Johannes Friedrich, Matt Kaufman, Anne Churchland ...
Advances in Neural Information Processing Systems 30, 2017
Fast active set methods for online spike inference from calcium imaging
J Friedrich, L Paninski
Advances In Neural Information Processing Systems 29, 2016
Code-specific learning rules improve action selection by populations of spiking neurons
J Friedrich, R Urbanczik, W Senn
International journal of neural systems 24 (05), 1450002, 2014
Multi-scale approaches for high-speed imaging and analysis of large neural populations
J Friedrich, W Yang, D Soudry, Y Mu, MB Ahrens, R Yuste, DS Peterka, ...
PLoS computational biology 13 (8), e1005685, 2017
Dynamics of recurrent neural networks with delayed unreliable synapses: metastable clustering
J Friedrich, W Kinzel
Journal of computational neuroscience 27, 65-80, 2009
Online analysis of microendoscopic 1-photon calcium imaging data streams
J Friedrich, A Giovannucci, EA Pnevmatikakis
PLoS Computational Biology 17 (1), e1008565, 2021
VolPy: Automated and scalable analysis pipelines for voltage imaging datasets
C Cai, J Friedrich, A Singh, MH Eybposh, EA Pnevmatikakis, K Podgorski, ...
PLoS computational biology 17 (4), e1008806, 2021
Learning spike-based population codes by reward and population feedback
J Friedrich, R Urbanczik, W Senn
Neural computation 22 (7), 1698-1717, 2010
Human and machine learning in non-markovian decision making
AM Clarke, J Friedrich, EM Tartaglia, S Marchesotti, W Senn, MH Herzog
PloS one 10 (4), e0123105, 2015
Caiman: An open source toolbox for large scale calcium imaging data analysis on standalone machines
A Giovannucci, J Friedrich, B Deverett, V Staneva, D Chklovskii, ...
Cosyne Abstracts, 2017
Fast constrained non-negative matrix factorization for whole-brain calcium imaging data
J Friedrich, D Soudry, Y Mu, J Freeman, M Ahrens, L Paninski
NIPS workshop on statistical methods for understanding neural systems, 2015
Community-based benchmarking improves spike inference from two-photon calcium imaging data
P Berens, J Freeman, T Deneux, N Chenkov, T McColgan, A Speiser, ...
BioRxiv, 177956, 2017
Spike-based decision learning of Nash equilibria in two-player games
J Friedrich, W Senn
Public Library of Science 8 (9), e1002691, 2012
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