ULTRACEPT Sandpit Session: Memory Formation in Computational Brain Microcircuits

To aid and support the continued collaboration and knowledge exchange of the ULTRACEPT researchers, the consortium hosts online quarterly ‘Sandpit Sessions’. The aim of these sessions is to provide researchers an opportunity to share their work in an informal forum where they can raise and discuss issues and challenges in order to gain support and feedback from the group.

University of Lincoln (UoL) researcher Dr Vassilis Cutsuridis presented at the ULTRACEPT Sandpit Session on the 20th February, 2023 on the topic: Memory Formation in Computational Brain Microcircuits.

ULTRACEPT: Ultra-layered perception with brain-inspired information processing for vehicle collision avoidance

Memory Formation in Computational Brain Microcircuits

  • Date: 20 February 2023
  • Time: UK 10:30; Germany 11:30; Argentina 07:30; Malaysia 18:30; China 18:30; Japan 19:30.
  • Facilitators: Vassilis Cutsuridis, Senior Lecturer, University of Lincoln (presenter), Shigang Yu, Senior Lecturer, University of Lincoln (chair)
  • Location: MS Teams
Sandpit Schedule
UK TimeItemPresenter/s
10:00 -10:05Arrival and welcomeShigang Yue
10:05 – 11:00Presentation Associative Memory in Brain Microcircuits: Lessons from Engineering and NeuroscienceVassilis Cutsuridis
11:00 -11.25DiscussionAll attendees
11:25 -11:30Final comments Shigang Yue/Vassilis Cutsuridis

Dr Cutsuridis is a Senior Lecturer in Computer Science, and a member of the Machine Learning research group at the University of Lincoln. He holds a BSc and MSc in Maths and Physics, an MA in Cognitive and Neural Systems, and a PhD in Computational Neuroscience. He is an active member of UK’s Applied Vision Association Society, the British Oculomotor Group, EU’s Convergent Science Network of Bio-mimetic and Bio-hybrid Systems since 2010 and of European Network for the Advancement of Artificial Cognitive Systems.

Dr Cutsuridis’ research spans brain inspired artificial intelligence including neural computation, cognitive modelling, bio-machine learning and biosignal analysis. He has developed large scale connectivity-based models of Parkinson’s disease, biomimetic learning rules and neural network models of learning and memory, deep neurocognitive models of perception-cognition-action in robots, and behavioural models of eye movements in neurodegenerative diseases such as Huntington’s disease, schizophrenia, and OCD. With collaborators he has published numerous articles in machine learning applications in epilepsy, agriculture, structural biology, biomedical text mining, and eye movements. He has published more than 100 articles in journals and conferences. He is associate editor of Springer-Nature’s Cognitive Computation journal and the Frontiers in Psychology section Cognitive Science. He has edited the popular “Hippocampal Microcircuits: A Computational Modeller’s Resource Book” and the ‘Multiscale Models of Brain Disorders” Springer-Nature books. 

Further information can be found at http://vassiliscutsuridis.org/

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