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Lalor Lab - Publications

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  Assessing musical beat perception using simulated sub-cortical neural activity. 
Zuk NJ, Carney LH, Lalor EC (2018). 
Frontiers in Neuroscience, 12:349.
  Cortical measures of phoneme-level speech encoding correlate with the perceived clarity of natural speech. 
Di Liberto GM, Crosse MJ, Lalor EC (2018). 
eNeuro, 5(2).
  Atypical cortical entrainment to speech in the right hemisphere underpins phonemic deficits in dyslexia. 
Di Liberto GM, Peter V, Kalashnikova M, Goswami U, Burnham D, Lalor EC (2018). 
NeuroImage, 175:70-79.
  Multiple regions of a cortical network commonly encode the meaning of words in multiple grammatical positions of read sentences. 
Anderson AJ, Lalor EC, Lin F, Binder JR, Fernandino L, Humphries CJ, Conant LL, Raizada RDS, Grimm S, Wang X (2018). 
Cerebral Cortex, doi: 10.1093/cercor/bhy110.
  Electrophysiological correlates of semantic dissimilarity reflect the comprehension of natural, narrative speech. 
Broderick MP, Anderson AJ, Di Liberto GM, Crosse MJ, Lalor EC (2018). 
Current Biology, 28(5): 803-809.
  Decoding the auditory brain with canonical component analysis. 
de Cheveigné A, Wong D, Di Liberto GM, Hjortkjaer J, Slaney M, Lalor EC (2018). 
NeuroImage, 172(2018): 206-216.
  Neuroscience: the rhythms of speech perception. 
Lalor EC (2018). 
Current Biology, 28(3): R105-R108.
  Causal cortical dynamics of a predictive enhancement of speech intelligibility. 
Di Liberto GM, Lalor EC, Millman RE (2017). 
NeuroImage, 166(2018): 247-258.
  Characteristic increases in EEG connectivity correlate with changes of structural MRI in amyotrophic lateral sclerosis. 
Nasseroleslami B, Dukic S, Broderick MP, Mohr K, Schuster C, Gavin B, McLaughlin R, Heverin M, Vajda A, Iyer P, Pender N, Bede P, Lalor EC, Hardiman OH (2017). 
Cerebral Cortex,
  Indexing cortical entrainment to natural speech at the phonemic level: methodological considerations for applied research. 
Di Liberto GM, Lalor EC (2017). 
Hearing Research, 348(2017): 70-77.
  A gaze independent hybrid-BCI based on visual spatial attention. 
Egan JM, Loughnane GM, Fletcher H, Meade E, Lalor EC (2017). 
Journal of Neural Engineering, 14(4): 046006.
  Different spatio-temporal EEG features drive the successful decoding of binaural and monaural cues for sound localization. 
Bednar A, Boland FM, Lalor EC (2017). 
European Journal of Neuroscience, 45(5): 679-689.
  Visual cortical entrainment to motion and categorical speech features during silent lipreading. 
O’Sullivan AE, Crosse MJ, Di Liberto GM, Lalor EC (2017). 
Frontiers in Human Neuroscience, 10: 679.
  Mismatch negativity as an indicator of cognitive sub-domain dysfunction in amyotrophic lateral sclerosis. 
Iyer PM, Mohr K, Broderick M, Gavin B, Burke T, Bede P, Pinto-Grau M, Pender NP, McLaughlin R, Vajda A, Heverin M, Lalor EC, Hardiman OH, Nasseroleslami B (2017). 
Frontiers Neurology, 8: 395.
  The multivariate temporal response function (mTRF) toolbox: A MATLAB toolbox for relating neural signals to continuous stimuli. 
Crosse MJ, Di Liberto GM, Bednar A, Lalor EC (2016). 
Frontiers in Human Neuroscience, 10: 604.
  Eye can hear clearly now: inverse effectiveness in natural audiovisual speech processing relies on long-term crossmodal temporal integration. 
Crosse MJ, Di Liberto GM, Lalor EC (2016). 
Journal of Neuroscience, 36(38): 9888-9895.
  ASR for under-resourced languages from probabilistic transcription. 
Hasegawa-Johnson M, Jyothi P, McCloy D, Mirbagheri M, Di Liberto G, Das A, Ekin B, Liu C, Manohar V, Tang H, Lalor EC, Chen N, Hager P, Kekona T, Sloan R, Lee AKC (2016). 
IEEE Transactions on Audio, Speech and Language, 25(1): 46:59.
  An investigation of feasibility and safety of bi-modal stimulation for the treatment of tinnitus: an open-label pilot study. 
D'Arcy S, Hamilton C, Pearlmutter BA, Crispino G, Lalor EC, Conlon B (2016). 
Neuromodulation: Technology at the Neural Interface, doi: 10.1111/ner.12452.
  Isolating neural indices of continuous speech processing at the phonetic level. 
Di Liberto GM, Lalor EC (2016). 
Advances in Experimental Medicine and Biology, 894: 337-345.
  Target selection signals influence perceptual decisions by modulating the onset and rate of evidence accumulation. 
Loughnane GM, Newman DP, Bellgrove MA, Lalor EC, Kelly SP, O'Connell RG (2016). 
Current Biology, 26(4): 496-502.
  Delayed P100-like Latencies in Multiple Sclerosis: A Preliminary Investigation using Visual Evoked Spread Spectrum Analysis. 
Kiiski H, Ní Riada S, Lalor EC, Gonçalves NR, Nolan H, Whelan R, Lonergan R, Kelly S, O'Brien MC, Kinsella K, Bramham J, Burke T, Ó Donnchadha S, Hutchinson M, Tubridy N, Reilly RB (2016). 
PLoS ONE, 11(1): e0146084.
  Low frequency cortical entrainment to speech reflects phonemic level processing. 
Di Liberto G, O'Sullivan JA, Lalor EC (2015). 
Current Biology, 25: 2457-2465.
  Congruent visual speech enhances cortical entrainment to continuous auditory speech in noise-free conditions. 
Crosse MJ, Butler JS, Lalor EC (2015). 
Journal of Neuroscience, 35(42): 14195-14204.
  Evidence for neural computations of temporal coherence in an auditory scene and their enhancement during active listening. 
O'Sullivan JA, Shamma SA, Lalor EC (2015). 
Journal of Neuroscience, 35(18): 7256-7263.
  Impaired auditory selective attention ameliorated by cognitive training with graded exposure to noise in patients with traumatic brain injury. 
Dundon N, Dockree SP, Buckley V, Carton M, Clarke S, Lalor EC, Robertson IH, Dockree PM (2015). 
Neuropsychologia, 75(2015): 74-87.
  Functional connectivity changes in resting-state EEG as potential biomarker for Amyotrophic Lateral Sclerosis. 
Iyer PM, Egan C, Pinto-Grau M, Burke T, Elamin M, Nasseroleslami B, Pender N, Lalor EC, Hardiman O (2015). 
PLoS ONE, 10(6): e0128682.
  Behavioral and electrophysiological evidence of opposing lateral visuospatial asymmetries in the upper and lower visual fields. 
Loughnane GM, Shanley JP, Lalor EC, O'Connell RG (2015). 
Cortex, 63(2015): 220-231.
  Towards obtaining spatiotemporally precise responses to continuous sensory stimuli in humans: a general linear modeling approach to EEG. 
Gonçalves NR, Whelan R, Foxe JJ, Lalor EC (2014). 
NeuroImage, 97(2014): 196-205.
  Modulation of early cortical processing during divided attention to non-contiguous locations. 
Frey HP, Schmid AM, Murphy JW, Molholm S, Lalor EC, Foxe JJ (2014). 
European Journal of Neuroscience, 39(9): 1499–1507.
  Attentional selection in a multi-speaker environment can be decoded from single-trial EEG. 
O'Sullivan JA, Power AJ, Mesgarani N, Rajaram S, Foxe JJ, Slaney M, Shinn-Cunningham BG, Shamma SA, Lalor EC (2014). 
Cerebral Cortex, doi: 10.1093/cercor/bht355.
  Endogenous auditory frequency-based attention modulates EEG-based measures of obligatory sensory activity in humans. 
Sheedy CM, Power AJ, Reilly RB, Crosse MJ, Loughnane GM, Lalor EC (2014). 
NeuroReport, 25(4): 219-225.
  The Cruciform model of striate generation of the early VEP, re-illustrated, not revoked: A reply to Ales et al (2013). 
Kelly SP, Vanegas MI, Schroeder CE, Lalor EC (2013). 
NeuroImage, 82: 154-159.
  Atypical cortical representation of peripheral visual space in children with an Autism Spectrum Disorder. 
Frey HP, Molholm S, Lalor EC, Russo N, Foxe JJ (2013). 
European Journal of Neuroscience, 38(1): 2125-2138.
  What does polarity inversion of extrastriate activity tell us about striate contributions to the early VEP? A comment on Ales et al (2010). 
Kelly SP, Schroeder CE, Lalor EC (2013). 
NeuroImage, 76(2013): 442-445.
  Generation of the VESPA response to rapid contrast fluctuations is dominated by striate cortex: evidence from retinotopic mapping. 
Lalor EC, Kelly SP, Foxe JJ (2012). 
Neuroscience, 218(2012): 226-234. pdf
  Visual sensory processing deficits in schizophrenia: is there anything to the magnocellular account? 
Lalor EC, De Sanctis P, Krakowski MI, Foxe JJ (2012). 
Schizophrenia Research, 139(2012): 246-252. pdf
  Isolating early cortical generators of visual evoked activity: A systems identification approach. 
Murphy JW, Kelly SP, Foxe JJ, Lalor EC (2012). 
Experimental Brain Research, 220(2): 191-199.
  Adolescent impulsivity phenotypes characterized by distinct brain networks. 
Whelan R, Conrod PJ, Poline JB, Lourdusamy A, Banaschewski T, Barker GJ, Bellgrove MA, Büchel C, Byrne M, Cummins TDR, Fauth-Bühler M, Flor H, Gallinat J, Heinz A, Ittermann B, Mann K, Martinot JL, Lalor EC, Lathrop M, Loth E, Nees F, Paus T, Rietschel M, Smolka MN, Spanagel R, Stephens DN, Struve M, Thyreau B, Vollstaedt-Klein S, Robbins TW, Schumann G, Garavan H, and the IMAGEN consortium (2012). 
Nature Neuroscience, 15(6): 920-925.
  At what time is the cocktail party? A late locus of selective attention to natural speech. 
Power AJ, Foxe JJ, Forde EJ, Reilly RB, Lalor EC (2012). 
European Journal of Neuroscience, 35(9): 1497-1503. pdf
  Endogenous auditory spatial attention modulates obligatory sensory activity in auditory cortex. 
Power AJ, Lalor EC, Reilly RB (2011). 
Cerebral Cortex, 21(6):1223-1230. pdf
  Early spatial attentional modulation of inputs to the fovea. 
Frey HP, Kelly SP, Lalor EC, Foxe JJ (2010). 
Journal of Neuroscience, 30(13): 4547-4551. pdf
  Reply: On interpreting responses to low contrast stimuli in terms of magnocellular activity - a few remarks. 
Lalor EC, Foxe JJ (2010). 
Vision Research, 50(2010): 991-994. pdf
  Neural responses to uninterrupted natural speech can be extracted with precise temporal resolution. 
Lalor EC, Foxe JJ (2010). 
European Journal of Neuroscience, 31(1):189-193. pdf
  The relationship between optimal and biologically plausible decoding of stimulus velocity in the retina. 
Lalor EC, Ahmadian Y, Paninski L (2009). 
Journal of the Optical Society of America A, 26(11):B25-B42. pdf
  Resolving precise temporal processing properties of the auditory system using continuous stimuli. 
Lalor EC, Power AP, Reilly RB, Foxe JJ (2009). 
Journal of Neurophysiology, 102(1):349-359. pdf
  Visual evoked spread spectrum analysis (VESPA) responses to stimuli biased towards magnocellular and parvocellular pathways. 
Lalor EC, Foxe JJ (2009). 
Vision Research, 49 (2009):127-133.pdf
  Dissecting the cellular contributions to early visual sensory processing deficits in schizophrenia using the VESPA evoked response. 
Lalor EC, Yeap S, Reilly RB, Pearlmutter BA, Foxe JJ (2008). 
Schizophrenia Research, 98(2008): 256-264. pdf
  Isolating endogenous visuo-spatial attentional effects using the novel Visual Evoked Spread Spectrum Analysis (VESPA) technique. 
Lalor EC, Kelly SP, Pearlmutter BA, Reilly RB, Foxe JJ (2007). 
European Journal of Neuroscience, 26(12):3536-3542. pdf
  The VESPA: a method for the rapid estimation of a visual evoked potential. 
Lalor EC, Pearlmutter BA, Reilly RB, McDarby G, Foxe JJ (2006). 
NeuroImage, 32, 1549-1561. pdf
  Increases in alpha oscillatory power reflect an active retinotopic mechanism for distracter suppression during sustained visuospatial attention. 
Kelly SP, Lalor EC, Reilly RB, Foxe JJ (2006). 
Journal of Neurophysiology, 95(6):3844-51. pdf
  Steady-state VEP-based brain-computer interface control in an immersive 3d gaming environment. 
Lalor EC, Kelly SP, Finucane C, Burke R, Smith R, Reilly RB, McDarby G (2005). 
EURASIP Journal on Applied Signal Processing, 2005(19):3156-3164. pdf
  Visual spatial attention tracking using high-density SSVEP data for independent brain-computer communication. 
Kelly SP, Lalor EC, Reilly RB, Foxe JJ (2005). 
IEEE Trans. Neu. Syst. & Rehab. Eng., 13(2):172-178. pdf
  Visual spatial attention control in an independent brain-computer interface. 
Kelly SP, Lalor EC, Finucane C, McDarby G, Reilly RB (2005). 
IEEE Trans. Biomed. Eng., 52(9):1588-1596. pdf
Book Chapters

  Reverse correlation and the VESPA method. In: Handy, T. C. (Ed.), Brain Signal Analysis: Advances in Neuroelectric and Neuromagnetic Methods, MIT press.
Lalor EC, Pearlmutter BA, Foxe JJ (2009).