Johannes Friedrich
Johannes Friedrich
Allen Institute for Neural Dynamics
Verified email at - Homepage
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
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
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
Fast active set methods for online spike inference from calcium imaging
J Friedrich, L Paninski
Advances In Neural Information Processing Systems 29, 2016
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
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
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
Online analysis of microendoscopic 1-photon calcium imaging data streams
J Friedrich, A Giovannucci, EA Pnevmatikakis
PLoS computational biology 17 (1), e1008565, 2021
Dynamics of recurrent neural networks with delayed unreliable synapses: metastable clustering
J Friedrich, W Kinzel
Journal of computational neuroscience 27, 65-80, 2009
Blood transfusion and risk of venous thromboembolism: a population-based cohort study
SY Lin, YL Chang, HC Yeh, CL Lin, CH Kao
Thrombosis and Haemostasis 120 (01), 156-167, 2020
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
Learning spike-based population codes by reward and population feedback
J Friedrich, R Urbanczik, W Senn
Neural computation 22 (7), 1698-1717, 2010
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
Neural optimal feedback control with local learning rules
J Friedrich, S Golkar, S Farashahi, A Genkin, A Sengupta, D Chklovskii
Advances in Neural Information Processing Systems 34, 16358-16370, 2021
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