Publications

2017

  • T. V. Gehring, M. J. Węsierska, D. K. Wójcik, E. Vasilaki: Analysis of behaviour in the Active Allothetic Place Avoidance task based on cluster analysis of the rat movement motifs. bioRxiv (2017), doi:10.1101/157859
  • D. Cserpan, D. Meszena, L. Wittner, K. Toth, I. Ulbert, Z. Somogyvari, D. K. Wojcik: Revealing The Distribution Of Transmembrane Currents Along The Dendritic Tree Of A Neuron With Known Morphology From Extracellular Recordings. bioRxiv (2017), doi: 10.1101/141069
  • S. Naess, H. C. Chintaluri, T. B. Ness, A. M. Dale, G. T. Einevoll, D. K. Wojcik: Four-Sphere Head Model For EEG Signals Revisited. bioRxiv (2017), doi: 10.1101/124875
  • J. M. Dzik, A. Puścian, Z. Mijakowska, K. Radwańska, S. Łęski: PyMICE – a Python library for analysis of IntelliCage data, Behavior Research Methods (2017) doi:10.3758/s13428-017-0907-5
  • M. Stefaniuk, A. Beroun, T. Lebitko, O. Markina, S. Leski, K. Meyza,
    A. Grzywacz, J. Samochowiec, A. Samochowiec, K. Radwanska, L. Kaczmarek: Matrix metalloproteinase-9 and synaptic plasticity in the central amygdala in control of alcohol seeking behavior., Biological Psychiatry  81:11 (2017) 907–917, doi: 10.1016/j.biopsych.2016.12.026
  • D. H. Reser, P. Majka, S. Snell, J. Chan, K. Watkins, K. Worthy, M. Del Mar Quiroga, M. G. P. Rosa: Topography of claustrum and insula projections to medial prefrontal and anterior cingulate cortex of the common marmoset (Callithrix jacchus), Journal of Comparative Neurology 525 (2017) 1421–1441. doi:10.1002/cne.24009
  • B. Knauer, P. Majka, K. J Watkins, A. WR Taylor, D. Malamanova, B. Paul, H. Yu, A. Ian Bush, D. J. Hare, D. Reser Whole-brain metallomic analysis of the common marmoset (Callithrix jacchus)., Metallomics 9 (2017) 411-423, doi: 10.1039/C7MT00012J
  • H. Głąbska, H.C. Chintaluri, D.K. Wójcik Collection of simulated data from a thalamocortical network model., Neuroinformatics  15:87 (2017) , doi: 10.1007/s12021-016-9319-4
  • I. Kondratiuk, S. Łęski, M. Urbańska, J. Jaworski, P. Biecek, H. Devijver, B. Lechat, F. Van Leuven, L. Kaczmarek, T. Jaworski: GSK-3β and MMP-9 cooperate in control of dendritic spine morphology, Molecular Neurobiology 54:1 (2017) 200 – 211, doi:10.1007/s12035-015-9625-0

2016

  • A. Puścian, S. Łęski, G. Kasprowicz, M. Winiarski, J. Borowska, T. Nikolaev, PM. Boguszewski, H-P. Lipp, E. Knapska: Eco-HAB – fully automated and ecologically relevant assessment of social impairments in mouse models of autism. eLife (2016), doi: 10.7554/eLife.19532
  • H. Głąbska, C. Chintaluri, D.K. Wójcik (2016)Thalamocortical network simulated data. RepOD. http://dx.doi.org/10.18150/repod.6394793
  • M. Jasińska, J. Miłek, I. A. Cymerman, S. Łęski, L. Kaczmarek, M. Dziembowska: miR-132 regulates dendritic spine structure by direct targeting of matrix metalloproteinase 9 mRNA, Molecular Neurobiology 53 (2016) 4701 – 4712, doi:10.1007/s12035-015-9383-z, pdf
  • P. Majka, D.K. Wojcik: Possum – a framework for three-dimensional reconstruction of brain images from serial sections, Neuroinformatics 14:3 (2016) 265-278, doi:10.1007/s12021-015-9286-1
  • P. Majka, T. A. Chaplin, Hsin-Hao Yu, A. Tolpygo, P. P. Mitra, D. K. Wójcik, M. G. P. Rosa: Towards a comprehensive atlas of cortical connections in a primate brain: Mapping tracer injection studies of the common marmoset into a reference digital template. Journal of Comparative Neurology 11 (2016) 2161-81, doi: 10.1002/cne.24023.
  • S. Ray, C. Chintaluri, U. S. Bhalla, D.K. Wójcik: NSDF: Neuroscience Simulation Data Format, Neuroinformatics 14:2 (2016) 147-167, doi:10.1007/s12021-015-9282-5
  • H. Głąbska, E. Norheim, A. Devor, A.M. Dale, G.T. Einevoll, D.K. Wójcik: Generalized Laminar Population Analysis (gLPA) for interpretation of multielectrode data from cortex, Frontiers in Neuroinformatics (2016) 10:1. doi: 10.3389/fninf.2016.00001

2015

  • Z. Mijakowska, K. Łukasiewicz, M. Ziółkowska, M. Lipiński, A. Trąbczyńska, Z. Matuszek, S. Łęski, K. Radwanska: Autophosphorylation of alpha isoform of calcium/calmodulin-dependent kinase II regulates alcohol addiction-related behaviors, Addiction Biology (2015), doi:10.1111/adb.12327
  • Z. Setkowicz, A. Gaździńska, J. J. Osoba, K. Karwowska, P. Majka, J. Orzeł, B. Kossowski, P. Bogorodzki, K. Janeczko, M. Wyleżoł, S. P. Gazdzinski: Does Long-Term High Fat Diet Always Lead to Smaller Hippocampi Volumes, Metabolite Concentrations, and Worse Learning and Memory? A Magnetic Resonance and Behavioral Study in Wistar Rats, PLOS ONE 10 (2015), e0139987
  • I. Laskowska, L. Gawryś, S. Łęski, D. Koziorowski:Emotional processing in Parkinson’s disease and schizophrenia: Evidence for response bias deficits in PD, Frontiers in Psychology 6:1417 (2015)
  • T. Górski, M. Sandström: 12th INCF Nodes Workshop Node Communication and Collaborative Neuroinformatics, pdf
  • I.M. Zakiewicz, P. Majka, D.K. Wojcik, J.G. Bjaalie, T.B. Leergaard Three-dimensional histology volume reconstruction of axonal tract tracing data: exploring topographical organization in subcortical projections from rat barrel cortex, PLOS ONE 10 (2015), e0137571
  • S. Łęski: Linking extracellular electric potential in the brain to neural activity — a review of source localisation and component identification methods, Acta Neurobiologiae Experimentalis 75 (2015), 117–125
  • T.V. Ness, C. Chintaluri, J. Potworowski, S. Łęski, H. Głąbska, D.K. Wójcik, G.T. Einevoll: Modelling and analysis of neural electrical potentials recorded in microelectrode arrays (MEAs), Neuroinformatics 13:4 (2015), 403-426
  • T. Górski, K. Rzążewski: Classical fields and quantum measurement for Bose–Einstein condensate, Journal of Physics B: Atomic, Molecular and Optical Physics 48:3 (2015), 035303

2014

  • A. Wróbel, C. Radzewicz, L. Mankiewicz, P. Hottowy, E. Knapska, W. Konopka, E. Kublik, K. Radwańska, W.J. Waleszczyk, D.K. Wójcik: Neuroengineering control and regulation of behavior, Proc. of SPIE 9290 (2014), pdf
  • M. Denker, G. Einevoll, F. Franke, S. Grün, E. Hagen, J. Kerr, M. Nawrot, T. B. Ness, R. Ritz, L. Smith, T. Wachtler, D. Wójcik: 1st INCF workshop on validation on analysis methods, pdf
  • H. Głąbska, J. Potworowski, S. Łęski, D. K. Wójcik: Independent components of neural activity carry information on individual populations, PLOS ONE 9 (2014), e105071
  • A. Puścian, S. Łęski, T. Górkiewicz, K. Meyza, H.-P. Lipp, E. A. Knapska: A novel automated behavioral test battery assessing cognitive rigidity in two genetic mouse models of autism, Frontiers in Behavioral Neuroscience 8:140 (2014)
  • D.K. Wójcik: Current Source Density (CSD) Analysis. In: Jaeger D., Jung R. (Ed.) Encyclopedia of Computational Neuroscience: SpringerReference. Springer-Verlag Berlin Heidelberg, 2013. 2014-02-10 17:39:21 UTC, preprint
  • H. Lindén, E. Hagen, S. Łęski, E. S. Norheim, K. H. Pettersen, G. T. Einevoll: LFPy: A tool for biophysical simulation of extracellular potentials generated by detailed model neurons, Frontiers in Neuroinformatics 7:41 (2014)

2013

  • P. Majka, J. Kowalski, N. Chlodzinska, D. K. Wójcik: 3D Brain Atlas Reconstructor service – online repository of three-dimensional models of brain structures, Neuroinformatics 11 (2013) 507–518
  • E. Knapska, V. Lioudyno, A. Kiryk, M. Mikosz, T. Gorkiewicz, P. Michaluk, M. Gawlak, M. Chaturvedi, G. Mochol, M. Balcerzyk, D. K. Wójcik, G. M. Wilczyński, L. Kaczmarek: Reward learning requires activity of matrix metalloproteinase-9 in the central amygdala,
    Journal of Neuroscience 33 (2013), 14591–14600
  • S. Łęski, H. Lindén, T. Tetzlaff, K. H. Pettersen, G. T. Einevoll:
    Frequency dependence of signal power and spatial reach of the local field potential, PLOS Computational Biology 9 (2013), e1003137,
    preprint: arXiv:1302.4559 [q-bio.NC]
  • J. Rogala, W. J. Waleszczyk, S. Łęski, A. Wróbel, D. K. Wójcik:
    Reciprocal inhibition and slow calcium decay in perigeniculate interneurons explain changes of spontaneous firing of thalamic cells caused by cortical inactivation, Journal of Computational Neuroscience 34 :3(2013), 461–476, pdfsupplementary material
  • G. T. Einevoll, H. Lindén, T. Tetzlaff, S. Łęski, K. H. Pettersen: Local Field Potentials: Biophysical Origin and Analysis, in Principles of Neural Coding, CRC Press (2013)

2012

  • J. Potworowski, W. Jakuczun, S. Łęski, D. K. Wójcik: Kernel Current Source Density Method, Neural Computation 24 (2012), 541–575, pdf
  • P. Majka, E. Kublik, G. Furga, D. K. Wójcik: Common Atlas Format and 3D Brain Atlas Reconstructor, the infrastructure for constructing 3D brain atlases, Neuroinformatics 10 (2012), 181–197

2011

  • S. Łęski, K. H. Pettersen, B. Tunstall, G. T. Einevoll, J. Gigg, D. K. Wójcik: Inverse Current Source Density method in two dimensions: Inferring neural activation from multielectrode recordings,
    Neuroinformatics 9 (2011), 401–425, pdf, MATLAB toolbox available through INCF Software Center
  • A. Kiryk, G. Mochol, R. K. Filipkowski, M. Wawrzyniak, V. Lioudyno, E. Knapska, T. Gorkiewicz, M. Balcerzyk, S. Łęski, F. Van Leuven, H.-P. Lipp, D. K. Wójcik, L. Kaczmarek: Cognitive abilities of Alzheimer’s disease transgenic mice are modulated by social context and circadian rhythm, Current Alzheimer Research 8 (2011), 883–892, pdf
  • M. J. Hunt, M. Falińska, S. Łęski, D. K. Wójcik, S. Kasicki: Differential effects produced by ketamine on oscillatory activity recorded in the rat hippocampus, dorsal striatum and nucleus accumbens, Journal of Psychopharmacology 25 (2011), 808–821, pdf

2010

  • G. T. Einevoll, D. K. Wójcik, A. Destexhe: Modeling extracellular potentials, Journal of Computational Neuroscience 29 (2010) 367–369
  • S. Łęski, E. Kublik, D. A. Świejkowski, A. Wróbel, D. K. Wójcik:
    Extracting functional components of neural dynamics with Independent Component Analysis and inverse Current Source Density, Journal of Computational Neuroscience 29 (2010), 459–473, pdf
  • A. Sobolewski, E. Kublik, D. A. Świejkowski, S. Łęski, J. K. Kamiński, A. Wróbel: Cross-trial correlation analysis of evoked potentials reveals arousal related attenuation of thalamo-cortical coupling, Journal of Computational Neuroscience 29 (2010), 485–493, pdf
  • D. K. Wójcik, S. Łęski: Current source density reconstruction from incomplete data, Neural Computation 22 (2010), 48–60,
    arXiv:0903.2379 [q-bio.QM], pdf
  • G. Mochol, D. K. Wójcik, M. Wypych, A. Wróbel, W. Waleszczyk: Variability of visual responses of superior colliculus neurons corresponds to their velocity preferences, Journal of Neuroscience 30:9 (2010) 3199–3209

Older

  • D. K. Wójcik, G. Mochol, W. Jakuczun, M. Wypych, W. Waleszczyk: Direct estimation of inhomogenous Markov interval models of spike-trains, Neural Computation 21 (2009), 2105–2113
  • S. Łęski, D. K. Wójcik: Inferring coupling strength from event-related dynamicsPhysical Review E 78, 041918 (2008), arXiv:0805.0532 [q-bio.NC], pdf
  • S. Łęski, D. K. Wójcik, J. Tereszczuk, D. A. Świejkowski, E. Kublik, A. Wróbel: Inverse Current-Source Density method in 3D: reconstruction fidelity, boundary effects, and influence of distant sources,
    Neuroinformatics 5 (2007), 207–222, pdf
  • W. Jakuczun, E. Kublik, D. K. Wójcik, A. Wróbel: Local classifiers for evoked potentials recorded from behaving rats, Acta Neurobiologiae Experimentalis 65 (2005), 425–434

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