Senior Lecturer, School of Computer Science,
   University of Lincoln, Lincoln, U.K.
Faculty, Athens International Masters Program in
Neuroscience, Dept of Biology, University of Athens, Greece
Associate Editor, Cognitive Computation


Associate Editor, Scholarpedia


Email: vcutsuridis AT lincoln DOT ac DOT uk 		Books

 Edited proceedings

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Publications Summary
86 full papers / book chapters
36 abstracts in conferences 		12 edited journal issues, books & proceedings
Books (5)
  5. Cutsuridis V, ed. (2019). Multiscale models of brain disorders. "Cognitive and Neural Systems" Series, Springer-Nature, ISBN 978-3-030-18830-6 [250 pages].
  4. Cutsuridis V, Graham BP, Cobb S, Vida I., eds. (2018). Hippocampal Microcircuits: A Computational Modeler's Resource Book, 2nd edition. "Computational Neuroscience" Series, Springer, ISBN 978-3-319-99103-0 [879 pages].
  3. Cutsuridis V, Hussain A, Taylor JG. eds. (2011). Perception-action cycle: Models, architectures and hardware. "Cognitive and Neural Systems" Series, Springer, ISBN 978-3-642-55336-3 [261 pages]. TOC PREFACE
  2. Cutsuridis V, Graham BP, Cobb S, Vida I., eds. (2010) Hippocampal Microcircuits: A Computational Modeler's Resource Book, 1st edition. "Computational Neuroscience" Series, Springer, ISBN 146142562X, 9781461425625 [617 pages]. OVERVIEW
  1. Hussain A, Aleksander I, Smith L, Chrisley R, Barros AK, Cutsuridis V. (2008). Brain Inspired Cognitive Systems, Springer, USA, ISBN 978-0-387-79099-2. [386 pages].
Guest-edited special issues (7)
  7. Cutsuridis V, Lawrence JJ. Memory Processes in Medial Temporal Lobe: Experimental, Theoretical and Computational Approaches, Vol. II, Frontiers in Systems Neuroscience, ongoing
  6. Solé-Casals J, Caiafa CF, Sun Z, Cutsuridis V. Brain Simulation and Spiking Neurons. Cognitive Computation, Ongoing
  5. Cutsuridis V, Yoshida M. (2014). Memory Processes in Medial Temporal Lobe: Experimental, Theoretical and Computational Approaches. Frontiers in Systems Neuroscience 11:19.doi: 10.3389/fnsys.2017.00019 [100 pages]. Editorial. Frontiers in Systems Neuroscience 11:19.doi: 10.3389/fnsys.2017.00019 [3 pages]. EDITORIAL
  4. Cutsuridis V, Hussain A. (2013). In memory of John G Taylor: A polymath scholar. Cognitive Computation, 5(3): 279-395 [2 pages]. Editorial. Cognitive Computation, 5(3): 279-280 [2 pages]. EDITORIAL
  3. Cutsuridis V, Heida C, Duch W, Doya K. (2011). Neurocomputational models of brain disorders. Neural Networks, 24(6): 513-678 [166 pages]. Editorial. Neural Networks, 24(6): 513-514 [2 pages]. EDITORIAL
  2. Taylor JG, Cutsuridis V. (2011). Saliency, attention, active visual search and picture scanning. Cognitive Computation, 3: 1-331 [331 pages]. Editorial. Cognitive Computation, 3: 1-3 [3 pages]. EDITORIAL
  1. Cutsuridis V, Wennekers T, Graham BP, Vida I, Taylor JG. (2009). Microcircuits – Their structure, dynamics and role for brain function. Neural Networks, 22(8): 1037-1200 [164 pages]. Editorial. Neural Networks, 22(8): 1037-1038 [2 pages]. EDITORIAL
Journals Papers (44)
Journal papers in preparation & under revision  
    • Andreakos N, Yue S, Cutsuridis V. Selective scaling of excitatory and inhibitory responses in key neurons reinforces memory retrieval in a CA1 circuit model. In preparation.
Journal papers (39)  
39. Lei F, Peng Z, Liu M, Peng J, Cutsuridis V, Yue S. (2022). A Robust Visual System for Looming Cue Detection Against Translation Motion. IEEE Transactions on Neural Networks and Learning Systems, accepted for publication, doi: 10.1109/TNNLS.2022.3149832.
38. Gong I, Yu M, Jiang S, Cutsuridis V, Pearson S. (2021). Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN. Sensors , 21(13): 4537.
37. Gong I, Yu M, Jiang S, Cutsuridis V, Kollias S, Pearson S. (2021). Studies of evolutionary algorithms for the reduced Tomgro model calibration for modelling tomato yields. Smart Agricultural Technology, 1: 100011.
36. Adnreakos N, Yue S, Cutsuridis V. (2021). Quantitative Investigation of Memory Recall Performance of a Computational Microcircuit Model of the Hippocampus. Brain Informatics, 8:9. https://doi.org/10.1186/s40708-021-00131-7.
35. Cutsuridis V, Jiang S, Dunn M, Rosser A, Brawn J, Erichsen J. (2021). Neural Modeling of Antisaccade Performance of Healthy Controls and Early Huntington's Disease Patients. Chaos, 31: 013121. doi: 10.1063/5.0021584.
34. Cutsuridis V. (2019). Memory Prosthesis: Is It Time for a Deep Neuromimetic Computing Approach? Front. Neurosci. 13:667. doi: 10.3389/fnins.2019.00667.
33. Cutsuridis V. (2019). Improving the recall performance of a brain mimetic microcircuit model Cognitive Computation, https://doi.org/10.1007/s12559-019-09658-8.
32. Moustafa AA, Hassan M, Hewedi D, Garami J, Alashwal H, Zaki N, Seo SY, Cutsuridis V, Angulo SL, Hewedi E, Natesh JY, Herzallah MM, Frydecka D, Misiak B, Salama M, Mohamed W, El Haj M, Hornbeger M. (2017). Genetic Underpinnings in Alzheimer’s disease – a review. Reviews in the Neurosciences, doi: 10.1515/revneuro-2017-0036.
31. Cutsuridis, V. (2017). Behavioral and computational varieties of response inhibition in eye movements. Philos Trans R Soc Lond B, 372: 20160196.
30. Cutsuridis V, Moustafa AA. (2017). Computational models of Alzheimer's disease. Scholarpedia, 12(1):32144.
29. Cutsuridis, V., Moustafa, A. (2016). Multiscale Models of Pharmacological, Immunological and Neurostimulation Treatments in Alzheimer's Disease. Drug Discov Today: Dis Model, 19: 86-91. http://dx.doi.org/10.1016/j.ddmod.2016.12.001.
28. Saravanan V, Arabali D, Jochems A, Cui AX, Gootjes-Dreesbach L, Cutsuridis V, Yoshida M. (2015). Transition between encoding and consolidation/replay dynamics via cholinergic modulation of CAN current: A modeling study. Hippocampus, 25(9):1052-70
27. Cutsuridis, V. (2015). Neural Competition via Lateral Inhibition between Decision Processes and Not a STOP Signal Accounts for the Antisaccade Performance in Healthy and Schizophrenia Subjects. Front. Neurosci., 9:5.
26. Cutsuridis, V., Poirazi, P. (2015). A computational study on how theta modulated inhibition can account for the long temporal delays in the entorhinal-hippocampal loop. Neurobiology of Learning and Memory, 120: 69-83.
25. Psarou M, Stefanou S, Papoutsi A, Tzilivaki A, Cutsuridis V, Poirazi P. (2014). A simulation study on the effects of dendritic morphology on layer V PFC pyramidal cell firing behaviour. Frontiers in Cellular Neuroscience, 8: 287.
24. Cutsuridis V, Kumari V, Ettinger, U. (2014). Antisaccade performance in schizophrenia: A Neural Model of Decision Making in the Superior Colliculus. Front. Neurosci., 8:13.
23. Papoutsi A, Sidiropoulou K, Cutsuridis V, Poirazi P. (2013). Induction and modulation of persistent activity in a layer V PFC microcircuit model. Frontiers in Neural Circuits, 7:161.
22. Cutsuridis V, Taxidis V. (2013). Deciphering the CA1 inhibitory circuits in sharp wave ripple complexes. Frontiers in Systems Neuroscience, 7:13, invited.
21. Cutsuridis V. (2013). Bradykinesia Models of Parkinson’s Disease. Scholarpedia, 8(9): 30937.
20. Cutsuridis V, Taylor JG. (2013). A Cognitive Control Architecture for the Perception-Action Cycle in Robots and Agents. Cognitive Computation, 5: 383-95
19. Taylor JG, Cutsuridis V, Hartley M, Althoefer K, Nanayakara T. (2013). Observational Learning: Basis, Experimental Results, Models and Implications to Robotics. Cognitive Computation, 5: 340-354
18. Cutsuridis V. (2013). Interaction of Inhibition and Triplets of Excitatory Spikes Modulates the NMDA-R Mediated Synaptic Plasticity in a Computational Model of Spike Timing Dependent Plasticity. Hippocampus, 23(1): 75-86
17. Cutsuridis V, Hussain A. (2013). In memory of John G Taylor: A polymath scholar. Cognitive Computation, 5(3): 279-280.
16. Cutsuridis V. (2012). Deciphering the mechanisms of episodic memory from a computational modeler’s point of view. Hippocampus, 22: 1645
15. Cutsuridis V. (2012). The Perception-…-Action Cycle Cognitive Architecture and Autonomy: A View from the Brain. Journal of Artificial General Intelligence, 3(2):36-38, invited.
14. Cutsuridis V. (2012). Bursts shape the NMDA-R mediated spike timing dependent plasticity curve: Role of burst interspike interval and GABA inhibition. Cognitive Neurodynamics, 6(5): 421-441
13. Cutsuridis V, Hasselmo M. (2012). GABAergic modulation of gating, timing and theta phase precession of hippocampal neuronal activity during theta oscillations. Hippocampus, 22: 1597-1621
12. Cutsuridis V, Hasselmo M. (2011). Spatial memory sequence encoding and replay during modeled theta and ripple oscillations. Cognitive Computation, 3: 554-74
11. Cutsuridis V. (2011). Origins of a repetitive and co-contractive pattern of muscle activation in Parkinson’s disease. Neural Networks, 24(6): 592-601
10. Cutsuridis V. (2011). GABA inhibition modulates NMDA-R mediated spike timing dependent plasticity (STDP) in a biophysical model. Neural Networks, 24(1): 29-42
9. Cutsuridis V, Graham BP, Cobb S. (2010). Encoding and retrieval in the hippocampal CA1 microcircuit model. Hippocampus, 20(3): 423-446
8. Cutsuridis V. (2009). A cognitive model of saliency, overt attention and picture scanning. Cognitive computation, 1: 292-299, invited.
7. Cutsuridis V, Wenneckers T. (2009). Hippocampus, microcircuits and associative memory. Neural Networks, 22(8): 1120-8
6. Cutsuridis V, Cobb S, Graham BP. (2009). Modelling the STDP symmetry-to-asymmetry transition in the presence of GABAergic inhibition. Neural Network World, 19(5): 471-81, invited.
5. Cutsuridis V, Kahol P. (2008). Derivation and Evaluation of the Fourth Moment of NMR Lineshape in Zero-Field. Solid State NMR, 34: 191-195
4. Cutsuridis V. (2007). Does Abnormal Reciprocal Inhibition Lead to Co-contraction of Antagonist Muscles? A Modeling Study. International Journal of Neural Systems, 17(4): 319-327, invited.
3. Cutsuridis V, Smyrnis N, Evdokimidis I, Perantonis S. (2007). A Neural Network Model of Decision Making in an Antisaccade Task by the Superior Colliculus. Neural Networks, 20(6): 690-704
2. Cutsuridis V, Kahramanoglou I, Smyrnis N, Evdokimidis I, Perantonis S. (2007). A Neural Variable Integrator Model of Decision Making in an Antisaccade Task. Neurocomputing, 70(7-9): 1390-1402
1. Cutsuridis V, Perantonis S. (2006). A Neural Model of Parkinson's Disease Bradykinesia. Neural Networks, 19(4): 354-374
Journal editorial papers (7)  
7. Cutsuridis V, Lawrence JJ. Memory Processes in Medial Temporal Lobe: Experimental, Theoretical and Computational Approaches, Vol II, Frontiers in Systems Neuroscience, Ongoing.
6. Solé-Casals J, Caiafa CF, Sun Z, Cutsuridis V. Brain Simulation and Spiking Neurons. Cognitive Computation, ongoing.
5. Cutsuridis V, Yoshida M. (2017). Memory Processes in Medial Temporal Lobe: Experimental, Theoretical and Computational Approaches. Frontiers in Systems Neuroscience, 11:19.doi: 10.3389/fnsys.2017.00019.
4. Cutsuridis V, Heida C, Duch W, Doya K. (2011). Neurocomputational models of brain disorders. Neural Networks, 24(6): 513-514.
3. Taylor JG, Cutsuridis, V. (2011). Editorial notes. Cognitive Computation, 3(1): 4.
2. Taylor JG, Cutsuridis, V. (2011). Saliency, attention, active visual search and picture scanning. Cognitive Computation, 3: 1-3.
1. Cutsuridis V, Wennekers T, Graham BP, Vida I, Taylor JG. (2009). Microcircuits – Their structure, dynamics and their role for brain function. Neural Networks, 22(8): 1037-1200
Conference papers (19)
19. Reed T, Cutsuridis V. (2020). Demonstration of a Literature Based Discovery System based on Ontologies, Semantic Filters and Word Embeddings for the Raynaud Disease-Fish Oil Rediscovery. In: 17th International Conference on Natural Language Processing (ICON-2020), Patna, India
18. Andreakos N, Yue S, Cutsuridis V. (2020). Improving Recall in an Associative Neural Network Model of the Hippocampus. In: V. Vouloutsi et al. (Eds.): Living Machines 2020, LNAI 12413, pp. 1–11, 2020
17. Lei F, Peng Z, Cutsuridis V, Liu M, Zhang y, Yue S. (2020). Competition between ON and OFF Neural Pathways Enhancing Collision Selectivity. In: IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2020, 19 – 24th July, Glasgow (UK)
16. Andreakos N, Yue S, Cutsuridis V. (2020). Recall performance improvement in a bio-inspired model of the mammalian hippocampus. In: M. Mahmud et al. (Eds.): BI 2020, LNAI 12241, pp. 1–10, 2020.
15. Cutsuridis V. (2017). A neural network model of antisaccade performance of healthy controls and obsessive-compulsive disorder patients. In: International Conference in Cognitive Modelling, Warwick, U.K.
14. Cutsuridis V, Efstathiou G, Kokkinidis M. (2015). Protein Function Prediction by an ARTMAP Neural Network. Proc MLCB/MLSB worskshop, NIPS 2015, Montreal, Canada, Dec 12-13, 2015
13. Cutsuridis V. (2013). Cognitive Models of the Perception-Action Cycle: A View from the Brain. Proc. IJCNN 2013 IEEE, August 4-7, Dallas, TX, USA
12. Cutsuridis V, Grahan B.P., Cobb S., Hasselmo M.E. (2011). Bio-inspired models of memory capacity, recall performance and theta phase precession. Proc. IJCNN 2011 IEEE, pp. 3141-48
11. Cutsuridis V, Hasselmo M. (2010). Dynamics and function of a CA1 model of the hippocampus during theta and ripples. Lecture Notes in Computer Science (LNCS) 6352, Springer-Verlag Berlin Heidelberg, pp. 230-240, 2010
10. Cutsuridis V. (2010). Action Potential Bursts Modulate the NMDA-R Mediated Spike Timing Dependent Plasticity in a Biophysical Model. Lecture Notes in Computer Science (LNCS) 6352, Springer-Verlag Berlin Heidelberg, pp. 107–116, 2010
9. Cutsuridis V. (2010). Neural accumulator models of decision making in eye movements. Adv Exp Med Biol, 657: 61-72
8. Cutsuridis V, Cobb S, Graham BP. (2009). How bursts shape the STDP curve in the presence/absence of GABA inhibition. Lecture Notes in Computer Science (LNCS) 5768, Springer-Verlag, 229–238
7. Cutsuridis V, Cobb S, Graham BP. (2008). Encoding and Retrieval in a CA1 Microcircuit Model of the Hippocampus. Lecture Notes in Computer Science (LNCS) 5164, (Springer-Verlag Berlin Heidelberg 2008), 238–247.
6. Cutsuridis V, Cobb S, Graham BP. (2008). A Ca2+ Dynamics Model of the STDP Symmetry-to-Asymmetry Transition in the CA1 Pyramidal Cell of the Hippocampus. Lecture Notes in Computer Science (LNCS) 5164, (Springer-Verlag Berlin Heidelberg 2008), 627-635.
5. Kahramanoglou I, Perantonis S, Smyrnis N, Evdokimidis I, Cutsuridis V. (2008). Modeling the Effects of Dopamine on the Antisaccade Reaction Times (aSRT) of Schizophrenia Patients. Lecture Notes in Computer Science (LNCS) 5164, (Springer-Verlag Berlin Heidelberg 2008), 290-299.
4. Cutsuridis V. (2008). A Bio-Inspired System Architecture of an Active Visual Search Model. Lecture Notes in Computer Science (LNCS) 5164, (Springer-Verlag Berlin Heidelberg 2008), 248-257
3. Cutsuridis V. (2006). Neural Model of Dopaminergic Control of Arm Movements in Parkinson’s Disease Bradykinesia. Lecture Notes in Computer Science (LNCS) 4131, Springer-Verlag, 583-591
2. Cutsuridis V, Kahramanoglou I, Perantonis S, Evdokimidis I, Smyrnis N. (2005). A Biophysical Neural Model of Decision Making in an Antisaccade Task Through Variable Climbing Activity. Lecture Notes in Computer Science (LNCS) 3696, Springer-Verlag, 205-210
1. Cutsuridis V. (2003). Computational neural modelling in cognitive neuroscience: advantages and problems. In: Lipitakis EA (ed), Proceedings of the 6th Hellenic-European Conference on Computer Mathematics and its Applications (HERCMA 2003), September 25-27, Athens, Greece
Books chapters (22)
  22. Cutsuridis V. (2019). Basal ganglio-thalamo-cortico-spino-muscular model of Parkinson’s disease bradykinesia. In: Cutsuridis V (ed), Multiscale models of brain disorders, Springer-Nature, Switzerland [10 pages].
  21. Cutsuridis V. (2019). Modelling cognitive processing of healthy controls and obsessive compulsive disorder subjects in the antisaccade task. In: Cutsuridis V (ed), Multiscale models of brain disorders, Springer-Nature, Switzerland [15 pages].
  20. Cutsuridis V. (2019). Models of Rate and Phase Coding of Place Cells in Hippocampal Microcircuits. In: Cutsuridis V, Graham BP, Cobb S, Vida I (eds), Hippocampal Microcircuits: A computational modeller’s resource book, 2nd edition, Springer, USA [10 pages].
  19. Cutsuridis V. (2019). Simplified compartmental models of CA1 pyramidal cells of theta-modulated inhibition effects on spike timing-dependent plasticity. In: Cutsuridis V, Graham BP, Cobb S, Vida I (eds), Hippocampal Microcircuits: A computational modeller’s resource book, 2nd edition, Springer, USA [10 pages].
  18. Cutsuridis V. (2019). Countermanding models. In: Jaeger D, Jung R (eds), Encyclopedia of Computational Neuroscience. Springer, USA [8 pages].
  17. Cutsuridis V. (2018). Antisaccade Models. In: Jaeger D, Jung R (eds), Encyclopedia of Computational Neuroscience. Springer, USA [8 pages].
  16. Cutsuridis V. (2018). Bradykinesia Models. In: Jaeger D, Jung R (eds), Encyclopedia of Computational Neuroscience. Springer, USA [8 pages].
  15. Cutsuridis V, Moustafa AA. (2018). Computational Models of pharmacological and immunological treatment in Alzheimer’s disease. In: Computational Models of Brain and Behavior, First Edition. Edited by Dr Ahmed A. Moustafa. © 2018 John Wiley & Sons, Ltd. Published 2018 by John Wiley & Sons, Ltd. [10 pages].
  14. Cutsuridis V. (2018). Computational Microcircuit Models of Associative Memory In Healthy and Diseased Hippocampuss. In: Computational Models of Brain and Behavior, First Edition. Edited by Dr Ahmed A. Moustafa. © 2018 John Wiley & Sons, Ltd. Published 2018 by John Wiley & Sons, Ltd. [12 pages].
  13. Cutsuridis V. (2016). Foreword. In: Mancas M, et al. (eds), From Human Attention to Computational Attention. Springer, USA [1 page].
  12. Cutsuridis V. (2013). Bradykinesia Models. In: Jaeger D, Jung R (eds), Encyclopedia of Computational Neuroscience. Springer, USA [8 pages].
  11. Cutsuridis V, Hussain A, Taylor JC. (2011). Hardware Implementations. In: Cutsuridis V et al., (eds), Perception-action cycle: Models, algorithms and hardware, Springer, USA, 673-674. [2 pages].
  10. Cutsuridis V, Hussain A, Taylor JC. (2011). Cognitive Architectures. In: Cutsuridis V et al., (eds), Perception-action cycle: Models, algorithms and hardware, Springer, USA, 359-361. [3 pages].
  9. Cutsuridis V, Hussain A, Taylor JC. (2011). Computational Neuroscience Models. In: Cutsuridis V et al., (eds), Perception-action cycle: Models, algorithms and hardware, Springer, USA, 1-3. [3 pages].
  8. Cutsuridis V, Hussain A, Taylor JC. (2011). Preface. In: Cutsuridis V et al., (eds), Perception-action cycle: Models, algorithms and hardware, Springer, USA, v-vi. [2 pages].
  7. Cutsuridis V, Graham BP. (2010). Computational analysis. In: Cutsuridis V et al. (eds), Hippocampal Microcircuits: A Computational Modeller’s Resource Book. Springer, USA, 313-316 [4 pages].
  6. Cutsuridis V, Graham BP, Cobb S, Vida I. (2010). Preface. In: Cutsuridis V et al. (eds), Hippocampal Microcircuits: A Computational Modeller’s Resource Book. Springer, USA, v-vi [2 pages].
  5. Cutsuridis V. (2010). Neural network modeling of voluntary single joint movement organization. I. Normal conditions. In: Chaovalitwongse WA et al. (eds), Computational neuroscience, Springer-Verlag, 181-192 [12 pages].
  4. Cutsuridis V. (2010). Neural network modeling of voluntary single joint movement organization. II. Parkinson’s disease. In: Chaovalitwongse WA et al. (eds), Computational neuroscience, Springer-Verlag, 193-212 [20 pages].
  3. Graham BP, Cutsuridis V, Hunter R. (2010). Associative Memory Models of Hippocampal Areas CA1 and CA3. In: Cutsuridis V et al. (eds), Hippocampal Microcircuits: A Computational Modeller’s Resource Book. Springer, USA, 459-494 [36 pages].
  2. Graham BP, Cutsuridis V. (2009). Dynamical Information Processing in the CA1 Microcircuit of the Hippocampus. In: Heinke D, et al. (Eds.): Computational Modeling in behavioral neuroscience: Closing the gap between neurophysiology and behavior. London: Psychology Press, Taylor and Francis Group [34 pages].
  1. Cutsuridis V. (2008). Voluntary single joint movement organization (in greek). In: S. Kossida. (ed.), ÂéïðëçñïöïñéêÞ: Äõíáôüôçôåò êáé ÐñïïðôéêÝò. ºäñõìá Éáôñïâéïëïãéêþí Åñåõíþí ôçò Áêáäçìßáò Áèçíþí, 205-226 [22 pages].
Conferences & Workshops — Accepted Abstracts (36)
  36. Andreakos N, Yue S, Cutsuridis V. Improving recall in hippocampal neural network models. 16th International Symposium of Cognition, Logic and Language "Linkages between space and memory: processes and representations", Online, August 25, 2022
  35. Andreakos N, Yue S, Cutsuridis V. Modelling the effects of the perforant path in the recall performance of a CA1 microcircuit with excitatory and inhibitory neurons. 30th Annual Computational Neuroscience Meeting CNS*2021, Online, July 3 - 7, 2021
  34. Andreakos N, Yue S, Cutsuridis V. Recall performance improvement in a bio-inspired model of the mammalian hippocampus. 2020 International Conference on Mathematical Neuroscience, Online, July 6 - 7, 2020
  33. Cutsuridis V, Dunn M, ..., Erichsen J. Neural Modelling of Antisaccade Performance of Healthy Controls and Huntington Disease Patients. European Conference on Eye Movements, Alicante, Spain, Aug 18 - 22, 2019
  32. Ellison P, Cutsuridis V. Machine learning algorithms for protein function prediction from primary structure. Proc 17th East Midlands Proteomics worskshop, Lincoln, U.K., Oct 24, 2018
  31. Cutsuridis V, Kokkinidis M. Protein Function Prediction by an ARTMAP Neural Network. Proc 17th East Midlands Proteomics worskshop, Lincoln, U.K., Oct 24, 2018
  30. Cutsuridis V, Ettinger U, Kumari V. Neural modelling of antisaccade performance across aging and dysfunction. 2018 Meeting of the European Mathematical Psychology Group, Gevona, Italy, July 30 - August 2, 2018
  29. Cutsuridis V. Two Separate Systems Account for Uncorrected and Corrected Directional Errors of Healthy Controls, Schizophrenia and OCD Patients in the Antisaccade Task. 27th British Oculo-Motor Group (BOMG) Meeting, Cardiff, U.K., January 17, 2018
  28. Cutsuridis V. Neural Modelling of Antisaccade Performance of Healthy Controls, Schizophrenia and Obsessive-Compulsive Disorders Patients. Grenoble Workshop on Models and Analysis of Eye Movements, Grenoble, France, June 6-8, 2018
  27. Cutsuridis V. Neural Modelling of Antisaccade Performance of Healthy Controls, Schizophrenia and Obsessive-Compulsive Disorders Patients. 8th International International Symposium on Biology of Decision Making, Paris, France, May 21-23, 2018
  26. Cutsuridis V. Neural field theory in psychiatric disorders. 4th International Conference in Neural Fields, University of Reading, U.K., July 3-5, 2017
  25. Cutsuridis V. Neurocomputational modeling of decision making in schizophrenia and obsessive-compulsive disorders. Computational Neurology 2017, University of Newcastle, U.K., February 20-21, 2017
  24. Psarrou M, Stefanou S, …, Cutsuridis V, Poirazi P. A simulation study on the effects of dendritic morphology on layer V PFC pyramidal cell firing behaviour. Dendrites Worskop 2014, July 1-4, Heraklion, Crete, Greece
  23. Saudargiene A, Cutsuridis V. Acetylcholine influence on spike timing dependent plasticity in a hippocampal CA1 pyramidal neuron microcircuit: A computational modelling study. FENS, Milan, July 5-9, 2014
  22. Dainauskas JJ, Cutsuridis V, Saudargiene A. Modulatory effects of acetylcholine on spike timing dependent plasticity in hippocampal CA1 pyramidal neuron. LNA Moksline Konferencija, Lithuania, 2012
  21. Cutsuridis V, Kumari V, Ettinger U. A Neural Network Model of Antisaccade Performance in Health and in Schizophrenia. Conference in Decision Making, Bristol, Dec 17-18, 2012
  20. Jochems A, Knauer B, Saravanan V, Cutsuridis V, Yoshida M. Intrinsic persistent firing in hippocampal CA1 and CA3 pyramidal cells. SfN, New Orleans, Oct 15-19, 2012
  19. Saravanan V, Cui A, Gootjes-Dreesbach L, Cutsuridis V, Yoshida M. A possible role of the CAN current in switching between real time and time-compressed sequential activity of hippocampal pyramidal cells. FENS, Barcelona, Jul 12-13, 2012
  18. Cutsuridis V. GABAergic contributions to theta phase precession in region CA1 of the hippocampus. Brain Circuits Symposium, Karolinska Institutet, Stockholm, Sweden, Oct 27-28, 2011
  17. Cutsuridis V. Origins of a repetitive and co-contractive pattern of muscle activation in Parkinson’s Disease. Workshop in Computational Neuroscience and Dynamics of Disease States, Leiden, The Netherlands, Aug. 8-12, 2011
  16. Cutsuridis V, Hasselmo M. A Computational Microcircuit Model of Encoding and Retrieval of Spatial Memory Sequences in the CA1 Area of the Hippocampus during Theta and Ripples. Society of Neuroscience, San Diego, USA, Nov 13-17, 2010
  15. Cutsuridis V, Hasselmo M. Network Dynamics of Encoding and Retrieval of Behavioural Spike Sequences During Theta and Ripples in a CA1 Model of the Hippocampus. 19th Annual Computational Neuroscience Meeting CNS*2010, San Antonio, USA, July 24-30, BMC Neuroscience Vol 11, Suppl 1, 2010
  14. Cutsuridis V, Hasselmo M. Encoding and Retrieval of Spatial Memory Sequences During Theta and Ripples in a CA1 Model of the Hippocampus. 14th International Conference on Cognitive and Neural Systems, Boston, USA, May 29-June 1, 2010
  13. Cutsuridis V, Cobb S, Graham BP. Dynamical information processing in the CA1 microcircuit. 4th Computational Cognitive Neuroscience Conference (CCNC), Boston, USA, Nov 18-19, 2009
  12. Cutsuridis V, Graham BP, Cobb S. Modelling the effects of GABA-A inhibition on the spike timing dependent plasticity (STDP) of a CA1 pyramidal cell. Eighteenth Annual Computational Neuroscience Meeting CNS*2009, Berlin, Germany, July 17th – 23rd, BMC Neuroscience Vol 10, Suppl 1, 2009
  11. Cutsuridis V, Cobb S, Graham BP. A CA1 Heteroassociative Microcircuit Model of the Hippocampus. AREADNE: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece, June 26-29, 2008
  10. Cutsuridis V, Hunter R, Cobb S, Graham BP. Storage and Recall in the CA1 Microcircuit of the Hippocampus: A Biophysical Model. Sixteenth Annual Computational Neuroscience Meeting CNS*2007, Toronto, Canada, July 8th - 12th, 2007. BMC Neuroscience 8(Suppl 2):P33
  9 Hunter R, Cutsuridis V, Cobb S, Graham BP. Improving Associative Memory in a Model Network of Two-Compartment Spiking Neurons. Fourth Annual Scottish Neuroscience Group Meeting, University of Edinburgh, August 31, 2007
  8. Kahramanoglou I, Cutsuridis V, Smyrnis N, Evdokimidis I, Perantonis S. Dopamine Effect on Climbing Activity of a Cortico-Tectal Model: Simulating the Performance of Patients with DSM-IV Schizophrenia in the Antisaccade Task. 2nd Computational Cognitive Neuroscience Conference, Houston, TX, USA, November 16-19, 2006
  7. Cutsuridis V, Kahramanoglou I, Smyrnis N, Evdokimidis I, Perantonis S. Parametric Analysis of Ionic and Synaptic Current Conductances in a Neural Accumulator Model with Variable Climbing Activity. 19th Conference of Hellenic Society for Neuroscience, Patra, Greece, September 30 - October 2, 2005
  6. Kahramanoglou I, Cutsuridis V, Smyrnis N, Evdokimidis I, Perantonis S. Dopamine Modification of Climbing Activity in a Neural Accumulator Model of the Antisaccade Task. 1st Computational Cognitive Neuroscience Conference, New Orleans, USA, November 11-13, 2005
  5. Cutsuridis V. A neural network model of normal and Parkinsonian EMG activity of fast arm movements. 18th Conference of Hellenic Society for Neuroscience, Athens, Greece, October 17-19, 2003
  4. Cutsuridis V, Evdokimidis I, Kahramanoglou I, Perantonis S, Smyrnis N. Neural network model of eye movement behavior in an antisaccade task. 18th Conference of Hellenic Society for Neuroscience, Athens, Greece, October 17-19, 2003
  3. Cutsuridis V, Smyrnis N, Evdokimidis I, Kahramanoglou I, Perantonis S. Neural network modeling of eye movement behavior in the antisaccade task: validation by comparison with data from 2006 normal individuals. Program No. 72.13. 2003 Abstract Viewer/Itinerary Planner. Washington, DC: Society for Neuroscience, 2003
  2. Cutsuridis V, Bullock D. A Neural Circuit Model of the Effects of Cortical Dopamine Depletion on Task-Related Discharge Patterns of Cells in the Primary Motor Cortex. Poster Session II: Sensory-Motor Control and Robotics, p. xv, Sixth International Neural Network Conference, Boston, MA, May 30 - June 1, 2002
  1. Cutsuridis V, Bullock D. A Neural Circuit Model of the Effects of Cortical Dopamine Depletion on Task-Related Discharge Patterns of Cells in the Primary Motor Cortex. Rethymnon, Crete, 17th Conference of Hellenic Society for Neuroscience, Poster 3, p. 39, October 4-6, 2002