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Tohka J, Moradi E, Huttunen H, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Neuroimaging Initiative 2. 2016. Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia. Neuroinformatics. 14(3):279-296. https://doi.org/10.1007/s12021-015-9292-3

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Acimovic J, Mäki-Marttunen TM, Linne M-L. 2015. Whole-cell morphological properties of neurons constrain the nonrandom features of network connectivity. Cymbalyuk G, Burkitt A, Toimittajat. teoksessa 24th Annual Computational Neuroscience Meeting: CNS*2015. Prague: BioMed Central. Sivut P:O7.

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Sibolt G, Curtze S, Melkas S, Pohjasvaara T, Kaste M, Karhunen PJ, Oksala NKJ, Erkinjuntti T. 2015. Severe cerebral white matter lesions in ischemic stroke patients are associated with less time spent at home and early institutionalization. INTERNATIONAL JOURNAL OF STROKE. 10(8):1192-1196. https://doi.org/10.1111/ijs.12578

Basnyat P, Natarajan R, Vistbakka J, Lehtikangas M, Airas L, Matinlauri I, Elovaara I, Hagman S. 2015. Elevated levels of soluble CD26 and CD30 in multiple sclerosis. Clinical and Experimental Neuroimmunology. 6(4):419-425. https://doi.org/10.1111/cen3.12253

Sun L, Peräkylä J, Polvivaara M, Öhman J, Peltola J, Lehtimäki K, Huhtala H, Hartikainen KM. 2015. Human anterior thalamic nuclei are involved in emotion-attention interaction. NEUROPSYCHOLOGIA. 78:88-94. https://doi.org/10.1016/j.neuropsychologia.2015.10.001

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Iosifidis A, Tefas A, Pitas I. 2015. DropELM: Fast neural network regularization with Dropout and DropConnect. Neurocomputing. 162:57-66. https://doi.org/10.1016/j.neucom.2015.04.006

Iosifidis A, Tefas A, Pitas I. 2015. Distance-based human action recognition using optimized class representations. Neurocomputing. 161:47-55. https://doi.org/10.1016/j.neucom.2014.10.088

Tenhunen M, Huupponen E, Hasan J, Heino O, Himanen SL. 2015. Evaluation of the different sleep-disordered breathing patterns of the compressed tracheal sound. Clinical Neurophysiology. 126(8):1557-1563. https://doi.org/10.1016/j.clinph.2014.11.003

Zou J, Hannula M, Lehto K, Feng H, Lähelmä J, Aula AS, Hyttinen J, Pyykkö I. 2015. X-ray microtomographic confirmation of the reliability of CBCT in identifying the scalar location of cochlear implant electrode after round window insertion. Hearing Research. 326:59-65. https://doi.org/10.1016/j.heares.2015.04.005

Basnyat P, Hagman S, Kolasa M, Koivisto K, Verkkoniemi-Ahola A, Airas L, Elovaara I. 2015. Association between soluble L-selectin and anti-JCV antibodies in natalizumab-treated relapsing-remitting MS patients. Multiple Sclerosis and Related Disorders. 4(4):334-338. https://doi.org/10.1016/j.msard.2015.06.008

Acimovic J, Mäki-Marttunen T, Linne M-L. 2015. The effects of neuron morphology on graph theoretic measures of network connectivity: The analysis of a two-level statistical model. Frontiers in Neuroanatomy. 9(June). https://doi.org/10.3389/fnana.2015.00076

Franco P, Värri A. 2015. Experiments of the sonification of the sleep electroencephalogram. Finnish Journal of eHealth and eWelfare. 7(2-3):65-74.

Saurus P, Kuusela S, Lehtonen E, Hyvönen ME, Ristola M, Fogarty CL, Tienari J, Lassenius MI, Forsblom C, Lehto M, Saleem MA, Groop PH, Holthöfer H, Lehtonen S. 2015. Podocyte apoptosis is prevented by blocking the Toll-like receptor pathway. CELL DEATH AND DISEASE. 6(5). https://doi.org/10.1038/cddis.2015.125

Bron EE, Smits M, van der Flier WM, Vrenken H, Barkhof F, Scheltens P, Papma JM, Steketee RME, Méndez Orellana C, Meijboom R, Pinto M, Meireles JR, Garrett C, Bastos-Leite AJ, Abdulkadir A, Ronneberger O, Amoroso N, Bellotti R, Cárdenas-Peña D, Álvarez-Meza AM, Dolph CV, Iftekharuddin KM, Eskildsen SF, Coupé P, Fonov VS, Franke K, Gaser C, Ledig C, Guerrero R, Tong T, Gray KR, Moradi E, Tohka J, Routier A, Durrleman S, Sarica A, Di Fatta G, Sensi F, Chincarini A, Smith GM, Stoyanov ZV, Sørensen L, Nielsen M, Tangaro S, Inglese P, Wachinger C, Reuter M, van Swieten JC, Niessen WJ, Klein S. 2015. Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage. 111:562-579. https://doi.org/10.1016/j.neuroimage.2015.01.048

Hagman S, Kolasa M, Basnyat P, Helminen M, Kähönen M, Dastidar P, Lehtimäki T, Elovaara I. 2015. Analysis of apoptosis-related genes in patients with clinically isolated syndrome and their association with conversion to multiple sclerosis. JOURNAL OF NEUROIMMUNOLOGY. 280:43-48. https://doi.org/10.1016/j.jneuroim.2015.02.006

Möttönen T, Katisko J, Haapasalo J, Tähtinen T, Kiekara T, Kähärä V, Peltola J, Öhman J, Lehtimäki K. 2015. Defining the anterior nucleus of the thalamus (ANT) as a deep brain stimulation target in refractory epilepsy: Delineation using 3 T MRI and intraoperative microelectrode recording. NeuroImage: Clinical. 7:823-829. https://doi.org/10.1016/j.nicl.2015.03.001

Juuti-Uusitalo K, Nieminen M, Treumer F, Ampuja M, Kallioniemi A, Klettner A, Skottman H. 2015. Effects of cytokine activation and oxidative stress on the function of the human embryonic stem cell–derived retinal pigment epithelial cells. Investigative Ophthalmology and Visual Science. 56(11):6265-6274. https://doi.org/10.1167/iovs.15-17333

Iosifidis A. 2015. Extreme learning machine based supervised subspace learning. Neurocomputing. 167:158–164. https://doi.org/10.1016/j.neucom.2015.04.083

Polinati PP, Ilmarinen T, Trokovic R, Hyotylainen T, Otonkoski T, Suomalainen A, Skottman H, Tynitiina T. 2015. Patient-specific induced pluripotent stem cell—derived RPE cells: Understanding the pathogenesis of retinopathy in long-chain 3-hydroxyacyl-CoA dehydrogenase deiciency. Investigative Ophthalmology and Visual Science. 56(5):3371-3382. https://doi.org/10.1167/iovs.14-14007

Iosifidis A, Tefas A, Pitas I. 2014. Regularized extreme learning machine for multi-view semi-supervised action recognition. Neurocomputing. 145:250-262. https://doi.org/10.1016/j.neucom.2014.05.036

Nevalainen O, Auvinen A, Ansakorpi H, Raitanen J, Isojärvi J. 2014. Autoimmunity-related immunological serum markers and survival in a tertiary care cohort of adult patients with epilepsy. EPILEPSY RESEARCH. 108(9):1675-1679. https://doi.org/10.1016/j.eplepsyres.2014.08.014

Hartikainen KM, Sun L, Polvivaara M, Brause M, Lehtimäki K, Haapasalo J, Möttönen T, Väyrynen K, Ogawa KH, Öhman J, Peltola J. 2014. Immediate effects of deep brain stimulation of anterior thalamic nuclei on executive functions and emotion-attention interaction in humans. JOURNAL OF CLINICAL AND EXPERIMENTAL NEUROPSYCHOLOGY. 36(5):540-550. https://doi.org/10.1080/13803395.2014.913554

Acar GO, Kivekäs I, Hanna BM, Huang L, Gopen Q, Poe DS. 2014. Comparison of stapedotomy minus prosthesis, circumferential stapes mobilization, and small fenestra stapedotomy for stapes fixation. OTOLOGY AND NEUROTOLOGY. 35(4). https://doi.org/10.1097/MAO.0000000000000280

Kangas J, Rantala J, Majaranta P, Isokoski P, Raisamo R. 2014. Haptic feedback to gaze events. teoksessa Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA 2014. Association for Computing Machinery. Sivut 11-18. https://doi.org/10.1145/2578153.2578154

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Ju YSE, Alexandrov LB, Gerstung M, Martincorena I, Nik-Zainal S, Ramakrishna M, Davies HR, Papaemmanuil E, Gundem G, Shlien A, Bolli N, Behjati S, Tarpey PS, Nangalia J, Massie CE, Butler AP, Teague JW, Vassiliou GS, Green AR, Du MQ, Unnikrishnan A, Pimanda JE, Teh BTE, Munshi N, Greaves M, Vyas P, El-Naggar AK, Santarius T, Collins VP, Grundy R, Taylor JA, Hayes DN, Malkin D, Foster CS, Warren AY, Whitaker HC, Brewer D, Eeles R, Cooper C, Neal D, Visakorpi T, Isaacs WB, Bova GS, Flanagan AM, Futreal PA, Lynch AG, Chinnery PF, McDermott U, Stratton MR, Campbell PJ. 2014. Origins and functional consequences of somatic mitochondrial DNA mutations in human cancer. eLIFE. 3. https://doi.org/10.7554/eLife.02935

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Sibolt G, Curtze S, Melkas S, Pohjasvaara T, Kaste M, Karhunen PJ, Oksala NKJ, Vataja R, Erkinjuntti T. 2013. Post-stroke depression and depression-executive dysfunction syndrome are associated with recurrence of ischaemic stroke. CEREBROVASCULAR DISEASES. 36(5-6):336-343. https://doi.org/10.1159/000355145

Pelkonen A, Kallunki P, Yavich L. 2013. Effects of exogenous alpha-synuclein on stimulated dopamine overflow in dorsal striatum. Neuroscience Letters. 554:141-145. https://doi.org/10.1016/j.neulet.2013.08.072

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Mäki-Marttunen TM, Acimovic J, Ruohonen KP, Linne M-L. 2013. On the effect of network structure and synaptic mechanisms on sustained bursting activity. Cymbalyuk G, Prinz A, Toimittajat. teoksessa Twenty Second Annual Computational Neuroscience Meeting: CNS*2013. Paris, France: BioMed Central. Sivut P247.

Kaipio ML, Cheour M, Öhman J, Salonen O, Näätänen R. 2013. Mismatch negativity abnormality in traumatic brain injury without macroscopic lesions on conventional MRI. NeuroReport. 24(8):440-444. https://doi.org/10.1097/WNR.0b013e32836164b4

Mäkinen M, Joki T, Ylä-Outinen L, Skottman H, Narkilahti S, Äänismaa R. 2013. Fluorescent probes as a tool for cell population tracking in spontaneously active neural networks derived from human pluripotent stem cells. Journal of Neuroscience Methods. 215(1):88-96. https://doi.org/10.1016/j.jneumeth.2013.02.019

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Mäki-Marttunen TM, Acimovic J, Ruohonen KP, Linne M-L. 2012. In silico study on structure and dynamics in bursting neuronal networks. teoksessa Neuroscience 2012; 42nd Annual Meeting, New Orleans, USA, October 14-18, 2012. Society for Neuroscience (SfN).

Melkas S, Sibolt G, Oksala NKJ, Putaala J, Pohjasvaara T, Kaste M, Karhunen PJ, Erkinjuntti T. 2012. Extensive white matter changes predict stroke recurrence up to 5 years after a first-ever ischemic stroke. CEREBROVASCULAR DISEASES. 34(3):191-198. https://doi.org/10.1159/000341404

Natarajan R, Einarsdottir E, Riutta A, Hagman S, Raunio M, Mononen N, Lehtimäki T, Elovaara I. 2012. Melatonin pathway genes are associated with progressive subtypes and disability status in multiple sclerosis among Finnish patients. JOURNAL OF NEUROIMMUNOLOGY. 250(1-2):106-110. https://doi.org/10.1016/j.jneuroim.2012.05.014

Sharma V, Bala A, Deshmukh R, Bedi KL, Sharma PL. 2012. Neuroprotective effect of RO-20-1724-a phosphodiesterase4 inhibitor against intracerebroventricular streptozotocin induced cognitive deficit and oxidative stress in rats. PHARMACOLOGY BIOCHEMISTRY AND BEHAVIOR. 101(2):239-245. https://doi.org/10.1016/j.pbb.2012.01.004

Mäki-Marttunen TM, Acimovic J, Ruohonen KP, Linne M-L. 2012. Significance of graph theoretic measures in predicting neuronal network activity. teoksessa Proceedings of The 9th annual Computational and Systems Neuroscience meeting (COSYNE 2012). Salt Lake City. Sivut 55-55.

Dixit D, Sharma V, Ghosh S, Mehta VS, Sen E. 2012. Inhibition of Casein kinase-2 induces p53-dependent cell cycle arrest and sensitizes glioblastoma cells to tumor necrosis factor (TNFα)-induced apoptosis through SIRT1 inhibition. CELL DEATH AND DISEASE. 3(2). https://doi.org/10.1038/cddis.2012.10

Pelkonen A, Yavich L. 2012. Cortical spreading depression in alpha-synuclein knockout mice. SYNAPSE. 66(1):81-84. https://doi.org/10.1002/syn.20980

Špakov O. 2012. Comparison of eye movement filters used in HCI. teoksessa Proceedings - ETRA 2012: Eye Tracking Research and Applications Symposium. Sivut 281-284. https://doi.org/10.1145/2168556.2168616

Hyrskykari A, Istance H, Vickers S. 2012. Gaze gestures or dwell-based interaction?. teoksessa Proceedings - ETRA 2012: Eye Tracking Research and Applications Symposium. Sivut 229-232. https://doi.org/10.1145/2168556.2168602

Heikkilä H, Räihä KJ. 2012. Simple gaze gestures and the closure of the eyes as an interaction technique. teoksessa Proceedings - ETRA 2012: Eye Tracking Research and Applications Symposium. Sivut 147-154. https://doi.org/10.1145/2168556.2168579

Sharmin S, Špakov O, Räihä KJ. 2012. The effect of different text presentation formats on eye movement metrics in reading. JOURNAL OF EYE MOVEMENT RESEARCH. 5(3).

Istance H, Vickers S, Hyrskykari A. 2012. The validity of using non-representative users in gaze communication research. teoksessa Proceedings - ETRA 2012: Eye Tracking Research and Applications Symposium. Sivut 233-236. https://doi.org/10.1145/2168556.2168603

Sharma V, Dixit D, Ghosh S, Sen E. 2011. COX-2 regulates the proliferation of glioma stem like cells. NEUROCHEMISTRY INTERNATIONAL. 59(5):567-571. https://doi.org/10.1016/j.neuint.2011.06.018

Mäki-Marttunen TM, Acimovic J, Ruohonen KP, Linne M-L. 2011. Effects of local structure of neuronal networks on spiking activity in silico. Fellous J-M, Prinz A, Toimittajat. teoksessa Twentieth Annual Computational Neuroscience Meeting: CNS*2011. Stockholm: BioMed Central. Sivut P202.

Acimovic J. 2011. Emergence of global and local structural features during development of neuronal networks. teoksessa Proceedings of the Eighth International Workshop on Computational Systems Biology, WCSB 2011, June 6-8, 2011, Zürich, Switzerland . Tampere: TICSP. (TICSP Series ).

Hagman S, Raunio M, Rossi M, Dastidar P, Elovaara I. 2011. Disease-associated inflammatory biomarker profiles in blood in different subtypes of multiple sclerosis: Prospective clinical and MRI follow-up study. JOURNAL OF NEUROIMMUNOLOGY. 234(1-2):141-147. https://doi.org/10.1016/j.jneuroim.2011.02.009

Heikkinen H, Vinberg F, Nymark S, Koskelainen A. 2011. Mesopic background lights enhance dark-adapted cone ERG flash responses in the intact mouse retina: A possible role for gap junctional decoupling. Journal of Neurophysiology. 105(5):2309-2318. https://doi.org/10.1152/jn.00536.2010

Emmert-Streib F, Glazko GV. 2011. Pathway analysis of expression data: Deciphering functional building blocks of complex diseases. PLoS Computational Biology. 7(5). https://doi.org/10.1371/journal.pcbi.1002053

Mäki-Marttunen T, Acimovic J, Ruohonen K, Linne M-L. 2011. Effects of structure on spontaneous activity in simulated neuronal networks. teoksessa Proceedings of Mathematical Neuroscience (ICMS 2011), April 11-13, 2011, Edinburgh, Scotland.

Malmivaara K, Ohman J, Kivisaari R, Hernesniemi J, Siironen J. 2011. Cost-effectiveness of decompressive craniectomy in non-traumatic neurological emergencies. European Journal of Neurology. 18(3):402-409. https://doi.org/10.1111/j.1468-1331.2010.03162.x

Pajarinen J, Peltonen J, Uusitalo MA. 2011. Fault tolerant machine learning for nanoscale cognitive radio. Neurocomputing. 74(5):753-764. https://doi.org/10.1016/j.neucom.2010.10.007

Pelkonen A, Yavich L. 2011. Neuromuscular pathology in mice lacking alpha-synuclein. Neuroscience Letters. 487(3):350-353. https://doi.org/10.1016/j.neulet.2010.10.054

Acimovic J, Mäki-Marttunen T, Linne M-L. 2011. Computational study of structural changes in neuronal networks during growth: a model of dissociated neocortical cultures. Fellous J-M, Prinz A, Toimittajat. teoksessa Twentieth Annual Computational Neuroscience Meeting: CNS*2011. Stockholm: BioMed Central. Sivut P203. (Annual Computational Neuroscience Meeting CNS). https://doi.org/10.1186/1471-2202-12-S1-P203

Acimovic J, Mäki-Marttunen T, Linne M-L. 2010. Computational modeling of growth in cortial cultures using the NETMORPH simulation tool. teoksessa Neuroscience 2010, 40th Annual Meeting, San Diego, USA, 13-17 November 2010. Sivut 2 p.

Acimovic J, Teppola H, Selinummi JJ, Linne M-L. 2009. Computational tools for assessing the properties of 2D neural cell cultures. Johnson D, Toimittaja. teoksessa Eighteenth Annual Computational Neuroscience Meeting: CNS*2009. Berlin: BioMed Central. Sivut P170.

Acimovic J. 2009. Neural networks, cell cultures and some older work on data analysis. Julkaisun esittämispaikka: Okinawa Computational Neuroscience Course 2009, Japani.

Emmert-Streib F. 2006. Influence of the neural network topology on the learning dynamics. Neurocomputing. 69(10-12):1179-1182. https://doi.org/10.1016/j.neucom.2005.12.070

Otterpohl JR, Emmert-Streib F, Pawelzik K. 2001. A constrained HMM-based approach to the estimation of perceptual switching dynamics in pigeons. Neurocomputing. 38-40:1495-1501. https://doi.org/10.1016/S0925-2312(01)00511-2

Otterpohl JR, Haynes JD, Emmert-Streib F, Vetter G, Pawelzik K. 2001. Erratum: Extracting the dynamics of perceptual switching from 'noisy' behaviour: An application of hidden Markov modelling to pecking data from pigeons (Journal of Physiology Paris (2000) 94:5-6 (555-567) PII: S0928425700010950). Journal of Physiology: Paris. 95(1-6):497. https://doi.org/10.1016/S0928-4257(01)00091-2

Otterpohl JR, Haynes JD, Emmert-Streib F, Vetter G, Pawelzik K. 2000. Extracting the dynamics of perceptual switching from 'noisy' behaviour: An application of hidden Markov modelling to pecking data from pigeons. Journal of Physiology: Paris. 94(5-6):555-567. https://doi.org/10.1016/S0928-4257(00)01095-0