The Organ that Studies Itself: A Computational Perspective of the Brain

When: 22nd Nov 2018, 18:00 - 22nd Nov 2018, 20:30
Where: TS103, Southampton Solent University, East Park Terrace, Southampton, SO14 0RD
Town/City: Southampton
Organiser: Joint BCS Hampshire Branch, BCSWomen, BCS e-Learning SGs and Solent University, Computing Subject Group Research Seminar
Price: Free
Further Information: Further Information

This is a joint event with the BCS Hampshire Branch, BCSWomen, BCS e-Learning SGs and Solent University, Computing Subject Group Research Seminar.

Description:

The human brain has often been described as the most complex structure in the known universe. Today the field of neuroscience combines theoretical and experimental approaches with computational modelling to study the properties of the nervous system at different levels - from molecules to the circuits of neurons that enable behaviour. The simulation of such models is achieved through powerful computational neuronal simulation environments.

Carrying those large-scale presents unique computational challenges in terms of extensibility, scalability, and computational efficiency as well as insights for the field of machine learning.

This talk describes novel implementations to the simulation of neural systems and their importance in the field and presents a different path for neural simulations.

Dr. Kristina KapanovaAssistant Professor Kristina Kapanova, PhD has obtained her PhD in 2017 on developing new algorithms for the training and design of artificial neural networks. She has also worked with prof. Sellier on the application of his signed-particle formulation of quantum mechanics to time-dependent, single - and many - body, multi-dimensional quantum problems related to various disciplines. Currently, Kristina focuses on new algorithms for the computation of biological neural networks and their practical implementation.

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