24 citations · 24 across the 2 of their papers we have counts for
6 papers
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
Vladimir A. Ivanov, Konstantinos P. Michmizos
The liquid state machine (LSM) combines low training complexity and biological plausibility, which has made it an attractive machine learning framework for edge and neuromorphic co…
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations
Chen Wang, Chengyuan Deng, Vladimir Ivanov
Variational Autoencoders (VAEs) are powerful in data representation inference, but it cannot learn relations between features with its vanilla form and common variations. The abili…
Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos
Guangzhi Tang, Ioannis E. Polykretis, Vladimir A. Ivanov +2
While there is still a lot to learn about astrocytes and their neuromodulatory role in the spatial and temporal integration of neuronal activity, their introduction to neuromorphic…
Axonal Conduction Velocity Impacts Neuronal Network Oscillations
Vladimir A. Ivanov, Ioannis E. Polykretis, Konstantinos P. Michmizos
Increasing experimental evidence suggests that axonal action potential conduction velocity is a highly adaptive parameter in the adult central nervous system. Yet, the effects of t…
Computational Astrocyence: Astrocytes encode inhibitory activity into the frequency and spatial extent of their calcium elevations
Ioannis E. Polykretis, Vladimir A. Ivanov, Konstantinos P. Michmizos
Deciphering the complex interactions between neurotransmission and astrocytic elevations is a target promising a comprehensive understanding of brain function. While the…
A Neural-Astrocytic Network Architecture: Astrocytic calcium waves modulate synchronous neuronal activity
Ioannis Polykretis, Vladimir Ivanov, Konstantinos P. Michmizos
Understanding the role of astrocytes in brain computation is a nascent challenge, promising immense rewards, in terms of new neurobiological knowledge that can be translated into a…