Special Teaching Staff on Neuroscience and Neuropsychology

Few words about me: I completed my PhD in Computational Neuroscience at the University of Lincoln under the supervision of Dr Vassilis Cutsuridis. I am a Research Scientist with experience in building computational models using NEURON and Python with a strong understanding of the intricaciesinvolved in creating and training neural networks. Highly skilled at designing experiments and analyzingthe data will be emerged. Interested in applying my skills and expertise in the field of neural networks toaddress real-world problems, such as developing new treatments for neurological disorders, improving the efficiency of renewable energy systems, and creating intelligent systems that can assist areas such as healthcare and transportation. I am passionate about using my knowledge and experience to create innovative solutions that can impact society, and I am confident that my skills andexperience make me well-suited to contribute to such efforts.

Few words about my PhD project: developing computational models of memory formation in the hippocampus to decipher the operations, computations and roles of multifaceted inhibition during the retrievalprocess. The results of this research will identify potential targets for therapeutic treatments aimed at ameliorating memory dysfunctions in disorders, such as Alzheimer's and dementia.

Current position: Visiting researcher, School of Computer Science, University of Lincoln, UK, Instructor in Clinical Neuropsychology and Neuroscience, Scientific College of Greece.

EDUCATION

PhD in Computational Neuroscience (February 2019 – February 2023)
Dissertation: Systematic Evaluation of Memory Retrieval in Computational Brain Microcircuits School of Computer Science, University of Lincoln, Lincoln, UK
Supervisor: Dr Vassilis Cutsuridis and Professor Shigang Yue

M.Sc. in Cognitive Neuroscience (October 2016 - June 2018)
National & Kapodistrian University of Athens, Medical School / Montreal Neurological Institute, McGill University, Canada
Grade: 8 («Very Good»)

B.Sc. in Psychology (October 2012 - July 2016)
Panteion University of Athens, Department of Psychology
Grade: 7,65/10 («Very good»)

RELEVANT WORKING EXPERIENCE

Visiting Researcher (Marie Curie Fellow) (September – November 2023)
Secondment to Universidad de Buenos Aires under Prof. Julieta Sztarker's (IFIBYNE-CONICET) supervision in association with Dr. Vassilis Cutsuridis (University of Lincoln). Marie Skłodowska-Curie EU HORIZON 2020 Project ULTRACEPT (NO.778062) Fellowship

Lecturer in Clinical Neuropsychology and Neuroscience (February 2023 – now)
Scientific College of Greece (SCG), Athens, Greece
Teaching lessons on the subjects of: Biology, Neuroscience, Neuropsychology, Research Methods B.Sc. and M.Sc. level

Visiting Researcher (March 2023 – now)
School of Computer Science, University of Lincoln, Lincoln, UK

Teaching Assistant (September 2019 – February 2022)
School of Computer Science, University of Lincoln, Lincoln, UK

Research Assistant/ Master’s Research Internship (January 2017 - June 2018)
Laboratory of Cognitive Neuroscience and Sensorimotor Control, University Mental Health, Neurosciences and Precision Medicine Research Institute "COSTAS STEFANIS", Athens, Greece
Analyzing behavioural and imaging data (using SPSS, MATLAB, Diffusion Model), Presenting work-in-progress in lab meetings

Psychologist / Bachelor’s Internship (January 2016 -May 2016)
Neuropsychological laboratory, National and Kapodistrian University of Athens, Greece
Neuropsychological assessment

GRANTS, AWARDS AND HONORS

Marie Skłodowska-Curie EU HORIZON 2020 Project ULTRACEPT (NO.778062) Fellowship (February 2019 – September 2024)
Marie Curie Researcher Assistant

Brain Informatics (BI 2020) Student Scholarship for the paper registration fee, 13th International Conference on Brain Informatics (BI2020), September 2020, Virtual Conference

PUBLICATIONS

Andreakos N, Yue S, Cutsuridis V. (2023). «Selective scaling of excitatory and inhibitory synaptic responses in key neurons reinforces memory retrieval in a CA1 circuit model», Submitted.

Andreakos N, Yue S, Cutsuridis V. (2021). «Quantitative investigation of memory recall performance of a computational microcircuit model of the hippocampus». Brain Informatics, 8(9). doi: 10.1186/s40708-021-00131-7 Link: pubmed.ncbi.nlm.nih.gov/33963952/

Andreakos N, Yue S, Cutsuridis V. (2020). «Recall performance improvement in a bio-inspired model of the mammalian hippocampus». In: Mufti Mahmud, M Shamim Kaiser, Stefano Vassanelli, Ning Zhong (Eds), 13th International Conference on Brain Informatics (BI2020), 19 September 2020, Virtual Conference.

Andreakos N, Yue S, Cutsuridis V. (2020). «Improving recall in an associative neural network of the hippocampus». In: Vasiliki Vouloutsi, Falk Esser, Thomas Speck, Anna Mura, Tony Prescott, Paul Verschure (Eds), The 9th International Conference on Biomimetic and Biohybrid Systems (Living Machines 2020), 28-30 July 2020, Virtual Conference.

Andreakos N, Yue S, Cutsuridis V. (2023). «Systematic evaluation of memory retrieval in a CA1 microcircuit model of the hippocampus». Bernstein Computational Neuroscience Conference, 26 – 29 September 2023, Berlin, Germany.

Andreakos N, Yue S, Cutsuridis V. (2021). «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), July 2021, Virtual Conference.

Andreakos N, Yue S, Cutsuridis V. (2020). «Recall performance improvement in a bio-inspired model of the mammalian hippocampus». 2020 International Conference on Mathematical Neuroscience (ICMNS2020), 6-7 July 2020, Virtual Conference.

Poster presentation: Systematic evaluation of memory retrieval in a CA1 microcircuit model of the hippocampus. 32nd Annual Computational Neuroscience Metting (CNS*2023), 15 – 19 July 2023, Leibzig, Germany.

Oral presentation: Improving recall in hippocampal neural network models. 16th International Symposium of Cognition, Logic and Language. Laboratory for Perceptual and Cognitive Systems, Faculty of Computing, University of Latvia, August 2022, In-person + Virtual Conference (hybrid format).

Poster presentation: 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), July 2021, Virtual Conference.

Poster presentation: Recall performance improvement in a bio-inspired model of the mammalian hippocampus. 13th International Conference on Brain Informatics (BI2020), September 2020, Virtual Conference.

Poster presentation: Recall performance improvement in a bio-inspired model of the mammalian hippocampus. 2020 International Conference on Mathematical Neuroscience (ICMNS2020), July 2020, Virtual Conference.

Poster presentation: Improving recall in an associative neural network of the hippocampus. 9th International Conference on Biomimetic and Biohybrid Systems (LM2020), July 2020, Virtual Conference.

OTHER SKILLS

Statistical Analysis packages: SPSS, Python Libraries for Data Science (Pandas, Numpy, etc.), Neural simulation environments: NEURON, NetPyNE, Programming languages: Python, MATLAB, Operating systems: Windows, Linux.