Dear All,
Title: Considering Space and Time in Neural Networks
Abstract: Biological neural systems operate in physical space where the distance between neurons influences communication delays and shapes network dynamics. This coupling between spatial structure and temporal signalling is a fundamental property of
neural circuits, yet it is largely absent from most artificial neural network models. Understanding how space and time jointly influence neural computation remains an important challenge for both neuroscience and machine learning.
Spiking neural networks provide a natural framework for studying these questions because their dynamics depend on the precise timing of spike events. Introducing learnable synaptic delays extends the temporal processing capabilities of these networks and, when
combined with structural plasticity, can give rise to sparse architectures in which organised patterns of excitation and inhibition emerge.
Linking delays to spatial distance provides an additional constraint that allows networks to self-organise into clustered and modular structures, highlighting how spatial organisation may act as an inductive bias shaping computation. In such spatially structured
systems, large-scale dynamical phenomena such as travelling waves of neural activity naturally arise. Investigating the interaction between spatial structure and delays offers new perspectives on how neural systems may exploit the interplay between space and
time to perform computation.
Time and date: Tuesday, April 14, 17:00
Location: CEU Budapest (1051 Budapest, Nádor u. 15.) room 203.
Should you have any inquiries about the series, please contact
Mihály
Bányai.
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Best regards,
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Ildikó Varga
Department Coordinator (Budapest)
Department
of Cognitive Science
Pronouns: she/her | vargai@ceu.edu | +36 1 327 3000 2941
H-1051 Budapest, Nádor street 15. FT 404
CENTRAL EUROPEAN UNIVERSITY
Quellenstrasse 51 | A-1100 Vienna | Austria |
www.ceu.edu
    
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