On this week's Journal Club session, Muhammad Yaqoob will talk about his work in the presentation entitled "Understanding structure-function mapping in small spiking neural networks.".
We know that the precise timing of spikes represents information in spiking neuronal networks. However, the information processing in spiking networks is not yet fully understood. One way to understand the working mechanism of a spiking network is to associate the structural connectivity of the network with the corresponding functional behaviour. In this journal club, I will begin with an introduction to different spiking neuron models and their properties. Then I’ll talk about the evolution of small spiking neural networks for temporal pattern recognition tasks. In the second half, we will discuss the structure-function mapping in spiking neural networks evolved or created to perform a computational task.
Papers:
- M. Yaqoob, V. Steuber, B. Wróbel, "Autapses enable temporal pattern recognition in spiking neural networks", 2023, bioRxiv,
- M. Yaqoob, V. Steuber, B. Wróbel, "The Importance of Self-excitation in Spiking Neural Networks Evolved to Recognize Temporal Patterns", 2019, 758--771
- M. Yaqoob, V. Steuber, B. Wróbel, "Spiking Neural Networks as Finite State Transducers for Temporal Pattern Recognition", 2023, 51, S96--S97
Date: 2025/04/25
Time: 14:00
Location: SP3011 & online