School of Computing

Publications by Dr Srivas Chennu

Also view these in the Kent Academic Repository

Article
Chennu, S. et al. (2017). Brain networks predict metabolism, diagnosis and prognosis at the bedside in disorders of consciousness. Brain [Online] 140:2120-2132. Available at: http://dx.doi.org/10.1093/brain/awx163.
Chennu, S., Stamatakis, E. and Menon, D. (2016). The see-saw brain: recovering consciousness after brain injury. The Lancet Neurology [Online] 15:830-842. Available at: http://dx.doi.org/10.1016/S1474-4422(16)30027-8.
Beukema, S. et al. (2016). A hierarchy of event-related potential markers of auditory processing in disorders of consciousness. NeuroImage: Clinical [Online] 12:359-371. Available at: http://doi.org/10.1016/j.nicl.2016.08.003.
Chennu, S. et al. (2016). Silent Expectations: Dynamic Causal Modeling of Cortical Prediction and Attention to Sounds That Weren't. Journal of Neuroscience [Online] 36:8305-8316. Available at: http://dx.doi.org/10.1523/JNEUROSCI.1125-16.2016.
Naccache, L. et al. (2016). Reply: Replicability and impact of statistics in the detection of neural responses of consciousness. Brain [Online]:1-3. Available at: http://dx.doi.org/10.1093/brain/aww060.
Gibson, R. et al. (2016). Somatosensory attention identifies both overt and covert awareness in disorders of consciousness. Annals of Neurology [Online] 80:412-423. Available at: http://dx.doi.org/10.1002/ana.24726.
Kuttikat, A. et al. (2016). Neurocognitive and Neuroplastic Mechanisms of Novel Clinical Signs in CRPS. Frontiers in Human Neuroscience [Online] 10:1-13. Available at: http://dx.doi.org/10.3389/fnhum.2016.00016.
Panda, R. et al. (2016). Temporal dynamics of the default mode network characterise meditation induced alterations in consciousness. Frontiers in Human Neuroscience [Online] 10:1-12. Available at: http://dx.doi.org/10.3389/fnhum.2016.00372.
Chennu, S. et al. (2016). Brain Connectivity Dissociates Responsiveness from Drug Exposure during Propofol-Induced Transitions of Consciousness. PLoS Computational Biology [Online] 12:1-17. Available at: http://dx.doi.org/10.1371%2Fjournal.pcbi.1004669.
Canales-Johnson, A. et al. (2015). Auditory Feedback Differentially Modulates Behavioral and Neural Markers of Objective and Subjective Performance When Tapping to Your Heartbeat. Cerebral Cortex [Online] 25:4490-4503. Available at: http://dx.doi.org/10.1093/cercor/bhv076.
Kirschner, A. et al. (2015). A P300-based cognitive assessment battery. Brain and Behavior [Online] 5:1-14. Available at: http://dx.doi.org/10.1002/brb3.336.
Gonzalez-Gadea, M. et al. (2015). Predictive coding in autism spectrum disorder and attention deficit hyperactivity disorder. Journal of Neurophysiology [Online] 114:2625-2636. Available at: http://dx.doi.org/10.1152/jn.00543.2015.
Naccache, L. et al. (2015). Neural detection of complex sound sequences or of statistical regularities in the absence of consciousness? Brain [Online] 10.109:1-3. Available at: http://dx.doi.org/10.1093/brain/awv190.
Chennu, S. et al. (2014). Spectral signatures of reorganised brain networks in disorders of consciousness. PLoS Computational Biology [Online] 10:e1003887. Available at: http://dx.doi.org/10.1371/journal.pcbi.1003887.
Gibson, R. et al. (2014). Complexity and familiarity enhance single-trial detectability of imagined movements with electroencephalography. Clinical Neurophysiology [Online] 125:1556-1567. Available at: http://dx.doi.org/10.1016/j.clinph.2013.11.034.
Cruse, D. et al. (2014). The reliability of the N400 in single subjects: Implications for patients with disorders of consciousness. NeuroImage: Clinical [Online] 4:788-799. Available at: http://dx.doi.org/10.1016/j.nicl.2014.05.001.
Cruse, D. et al. (2013). Reanalysis of "Bedside detection of awareness in the vegetative state: a cohort study" - Authors' reply. Lancet [Online] 381:291-292. Available at: http://dx.doi.org/10.1016/S0140-6736(13)60126-9.
Chennu, S. et al. (2013). Dissociable endogenous and exogenous attention in disorders of consciousness. NeuroImage: Clinical [Online] 3:450-461. Available at: http://dx.doi.org/10.1016/j.nicl.2013.10.008.
Chennu, S. et al. (2013). The cost of space independence in P300-BCI spellers. . Journal of NeuroEngineering and Rehabilitation [Online] 10:1-13. Available at: http://dx.doi.org/10.1186/1743-0003-10-82.
Chennu, S. et al. (2013). Expectation and Attention in Hierarchical Auditory Prediction. Journal of Neuroscience [Online] 33:11194-11205. Available at: http://dx.doi.org/10.1523/JNEUROSCI.0114-13.2013.
Cruse, D. et al. (2012). Detecting Awareness in the Vegetative State: Electroencephalographic Evidence for Attempted Movements to Command. PLoS ONE [Online] 7:e49933. Available at: http://dx.doi.org/10.1371%2Fjournal.pone.0049933.
Cruse, D. et al. (2012). Bedside detection of awareness in the vegetative state? - Authors' reply. Lancet [Online] 379:1702. Available at: http://dx.doi.org/10.1016/S0140-6736(12)60715-6.
Cruse, D. et al. (2012). Relationship between aetiology and covert cognition in the minimally-conscious state. Neurology [Online] 78:816-822. Available at: http://www.neurology.org/content/78/11/816.
Chennu, S. and Bekinschtein, T. (2012). Arousal modulates auditory attention and awareness: insights from sleep, sedation and disorders of consciousness. Frontiers in Psychology [Online] 3:1-9. Available at: http://dx.doi.org/10.3389/fpsyg.2012.00065.
Chatelle, C. et al. (2012). Brain-computer interfacing in disorders of consciousness. Brain Injury [Online] 26:1510-1522. Available at: http://dx.doi.org/10.3109/02699052.2012.698362.
Cruse, D. et al. (2011). Bedside detection of awareness in the vegetative state: a cohort study. Lancet [Online] 378:2088-2094. Available at: http://dx.doi.org/10.1016/S0140-6736(11)61224-5.
Craston, P. et al. (2009). The attentional blink reveals serial working memory encoding: Evidence from virtual and human event-related potentials. Journal of Cognitive Neuroscience [Online] 21:550-566. Available at: http://dx.doi.org/10.1162/jocn.2009.21036.
Chennu, S. et al. (2009). Attention Increases the Temporal Precision of Conscious Perception: Verifying the Neural-ST2 Model. PLoS Computational Biology [Online] 5:e1000576. Available at: http://dx.doi.org/10.1371%2Fjournal.pcbi.1000576.
Bowman, H. et al. (2008). A Reciprocal Relationship Between Bottom-up Trace Strength and the Attentional Blink Bottleneck: Relating the LC-NE and ST2 Models. Brain Research [Online] 1202:25-42. Available at: http://dx.doi.org/10.1016/j.brainres.2007.06.035.
Conference or workshop item
Chennu, S. et al. (2011). Fortunate Conjunctions Revived: Feature Binding with the 2f-ST2 Model. in: 33rd Annual Meeting of the Cognitive Science Society 2011 (CogSci 2011). Austin, TX: Cognitive Science Society, pp. 2598-2603. Available at: http://www.cs.kent.ac.uk/pubs/2011/3204.
Bowman, H. et al. (2009). The delayed consolidation hypothesis of all-or-none conscious perception during the attentional blink, applying the ST2 framework. in: Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 1-6.
Chennu, S. et al. (2009). The influence of target discriminability on the time course of attentional selection. in: Proceedings of the 31th Annual Conference of the Cognitive Science Society. pp. 1-6.
Chennu, S. et al. (2008). Transient Attentional Enhancement during the Attentional Blink: ERP correlates of the ST2 model. in: French, R. M. and Thomas, E. eds. From Associations to Rules: Connectionist Models of Behavior and Cognition. World Scientific Publishing: World Scientific.
Chennu, S. (2008). On Feature Binding in Space and Time. in: University of Kent Postgraduate Conference.
Chennu, S., Habel, K. and Langer, K. (2006). Protected Ethernet Rings for Optical Access Networks. in: Proceedings of the 7th ITG Symposium on Photonic Networks. Berlin: Informationstechnische Gesellschaft, pp. 29-36.
Chennu, S., Habel, K. and Langer, K. (2006). QoS-aware Traffic Protection for Access Rings. in: 11th European Conference on Networks and Optical Communications. pp. 165-174.
Sivanthi, T., Chennu, S. and Kreft, L. (2005). Modeling Decentralized Real-Time Control by State Space Partition of Timed Automata. in: DS-RT '05: Proceedings of the Ninth IEEE International Symposium on Distributed Simulation and Real-Time Applications. IEEE Computer Society, pp. 229-235.
Chennu, S. and Nagaraj, V. (2001). Parallel Computing using Linux Clusters: PFract - A Parallel Fractal Generation Program. in: Computer Society of India technical seminar.
Chennu, S. and Nagaraj, V. (2001). Mobile Ad Hoc Networks. in: Institute of Engineers technical seminar.
Thesis
Chennu, S. (2009). The temporal spotlight of attention: computational and electrophysiological explorations. University of Kent. Available at: http://www.cs.kent.ac.uk/pubs/2009/3054.
Total publications in KAR: 40 [See all in KAR]

School of Computing, University of Kent, Canterbury, Kent, CT2 7NF

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Last Updated: 23/10/2017