Berlin 2024 – wissenschaftliches Programm
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BP: Fachverband Biologische Physik
BP 21: Poster IIIb
BP 21.18: Poster
Mittwoch, 20. März 2024, 11:00–14:30, Poster C
An order-disorder transition in cortical development — •Lorenzo Butti1, Nathaniel Powell2, Bettina Hein1, Deyue Kong1, Jonas Elpelt1, Haleigh Mulholland2, Matthias Kaschube1, and Gordon Smith.2 — 1FIAS, Frankfurt am Main, Germany. — 2University of Minnesota, Minneapolis, USA
How neural activity in cortex is shaped by the underlying neural circuitry remains poorly understood. Recent experiments in ferrets have shown that at an early stage in development, spontaneous activity exhibits a modular correlation structure that is similar to a quantitative degree across multiple cortical areas (including both sensory and higher association areas) [1].
In this work, we investigate how this correlation structure evolves over the course of development in different cortical areas. In all areas we observed a transition from an ordered, modular organization to a more fine-scaled, disordered organization.
To explain these results, we study a linear recurrent neural network model.* Assuming the recurrent interactions follow a local excitation and lateral inhibition (LELI) scheme, the model is able to reproduce the modular structure of spontaneous activity we observe in the early cortex[2]. We then analyse different scenarios of possible network changes and we find that an effective weakening of recurrent connections over development is a major factor affecting the degree of modularity and how it changes across development.
[1]https://www.world-wide.org/cosyne-22/universality-modular-correlated-networks-5a1134a0 [2 ]Smith et al., 2018
Keywords: Computational neuroscience; Recurrent Neural network; Modular patterns; dimensionality