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Chaitanya Chintaluri
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Year
Training deep neural density estimators to identify mechanistic models of neural dynamics
PJ Gonēalves, JM Lueckmann, M Deistler, M Nonnenmacher, K Öcal, ...
Elife 9, e56261, 2020
1662020
Modelling and analysis of electrical potentials recorded in microelectrode arrays (MEAs)
TV Ness, C Chintaluri, J Potworowski, S Łęski, H Głąbska, DK Wójcik, ...
Neuroinformatics 13, 403-426, 2015
852015
Corrected four-sphere head model for EEG signals
S Nęss, C Chintaluri, TV Ness, AM Dale, GT Einevoll, DK Wójcik
Frontiers in human neuroscience 11, 490, 2017
282017
25th annual computational neuroscience meeting: CNS-2016
TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ...
BMC neuroscience 17, 1-112, 2016
202016
NSDF: neuroscience simulation data format
S Ray, C Chintaluri, US Bhalla, DK Wójcik
Neuroinformatics 14, 147-167, 2016
162016
Training deep neural density estimators to identify mechanistic models of neural dynamics. bioRxiv
PJ Gonēalves, JM Lueckmann, M Deistler, M Nonnenmacher, K Öcal, ...
122019
kCSD-python, a tool for reliable Current Source Density estimation
C Chintaluri, M Kowalska, W Średniawa, MB Czerwiński, JM Dzik, ...
BioRxiv, 708511, 2019
82019
Collection of simulated data from a thalamocortical network model
H Głąbska, C Chintaluri, DK Wójcik
Neuroinformatics 15, 87-99, 2017
52017
What we can and what we cannot see with extracellular multielectrodes
C Chintaluri, M Bejtka, W Średniawa, M Czerwiński, JM Dzik, ...
PLOS Computational Biology 17 (5), e1008615, 2021
32021
Modelling and analysis of electrical potentials recorded in microelectrode arrays (MEAs)
N Torbjųrn, C Chaitanya, P Jan, L Szymon, G Helena, W Daniel, E Gaute
Front. Neurosci. 10, 403-426, 2016
32016
Metabolically regulated spiking could serve neuronal energy homeostasis and protect from reactive oxygen species
C Chintaluri, TP Vogels
Proceedings of the National Academy of Sciences of the United States of …, 2023
22023
Four-sphere head model for EEG signals revisited
S Nęss, C Chintaluri, TV Ness, AM Dale, GT Einevoll, DK Wójcik
bioRxiv, 124875, 2017
22017
A novel method for spatial source localization using ECoG and SEEG recordings in human epilepsy patients
C Chintaluri, DK Wójcik
BMC Neuroscience 16 (Suppl 1), P286, 2015
22015
Collection of simulated data for validation of methods of analysis of extracellular potentials
HT Głąbska, C Chintaluri, DK Wójcik
Neuroinformatics, 2014
22014
Metabolically driven action potentials serve neuronal energy homeostasis and protect from reactive oxygen species
C Chintaluri, TP Vogels
bioRxiv, 2022
12022
Amortised inference for mechanistic models of neural dynamics
JM Lueckmann, PJ Gonēalves, C Chintaluri, WF Podlaski, G Bassetto, ...
Computational and Systems Neuroscience (Cosyne) 2019, 108, 2019
12019
Neuroscience Simulation Data Format (NSDF): HDF-based format for large simulation datasets
C Chintaluri, S Ray, US Bhalla, DK Wójcik
Frontiers in Neuroinformatics 26, 2014
12014
kCSD-python, reliable current source density estimation with quality control
C Chintaluri, M Bejtka, W Średniawa, M Czerwiński, JM Dzik, ...
PLOS Computational Biology 20 (3), e1011941, 2024
2024
Mitochondrial Ca2+ efflux controls neuronal metabolism and long-term memory across species
AA Vishwanath, T Comyn, C Chintaluri, C Ramon-Duaso, R Fan, ...
bioRxiv, 2024.02. 01.578153, 2024
2024
Kernel current source density revisited
C Chintaluri, M Kowalska, MB Czerwinski, W Sredniawa, ...
Acta Neurobiologiae Experimentalis 79 (Suppl. 1), 2019
2019
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Articles 1–20