Condensed Complexity - The Essence of Information Processing and Cognition?

Session

Session 7

207

9 Nov 2023, 16:00

Lecture Hall (FIAS)

30. A physics-based deep learning algorithm for solving inverse problems

Shriya Soma

09/11/2023, 16:00

An accurate description of matter under different conditions is given by the so-called ‘Equation of State’ (EoS). Currently, the EoS of matter under extremely high temperatures and densities is poorly understood, and remains a major challenge in the field of nuclear astrophysics. Neutron stars (NSs) harbor such extreme conditions and therefore serve as celestial laboratories for constraining...

31. CLIMATOLOGY OF IONOSPHERIC IRREGULARITIES DURING SOLAR CYCLE 24

Ritesh Shah

09/11/2023, 16:05

The ionosphere, a dynamic region of the earth’s upper atmosphere experiences a rapid fluctuations in electron density. These small perturbations can severely impact the trans- mission of radio signals through the ionosphere manifesting scintillation, signal delays, power grid failures, loss of lock in GPS receivers and other navigation issues. This work aims to investigate the climatology of...

32. Synaptic learning rate is reduced during fear learning in mouse auditory cortex

Thomas Lai (FIAS)

09/11/2023, 16:10

Learning is a fundamental process in neuroscience, yet the intricate relationship between behavioural learning and the underlying mechanisms at the neuronal circuit level remains elusive. We aim to address this knowledge gap by investigating how fear conditioning influences neuronal activity and the associated neural network in the mouse auditory cortex. In this study, we examined signal and...

33. The nature-nurture transform underlying the emergence of reliable cortical representations

Sigrid Trägenap (FIAS)

09/11/2023, 16:15

The fundamental structure of cortical networks arises early in development prior to the onset of sensory experience. However, how endogenously generated networks respond to the onset of sensory experience, and how they form mature sensory representations with experience remains unclear. Here we examine this ‘nature-nurture transform’ using in vivo calcium imaging in ferret visual cortex. At...

34. Beyond fixed points: transient quasi-stable dynamics emerging from ghost channels and ghost cycles

Gayathri Ramesan (Max Planck Institute for Neurobiology of Behavior-Caesar)

09/11/2023, 16:20

Dynamical description of natural systems has generally focused on fixed points, with saddles and saddle-based phase-space objects such as heteroclinic channels/cycles being central concepts behind the emergence of quasi-stable long transients. Reliable and robust transient dynamics observed for real, inherently noisy systems is, however, not met by saddle-based dynamics, as demonstrated here....

35. A genuinely stochastic modeling approach for understanding cell fate specification during early mouse development

Michael Alexander Ramirez Sierra (FIAS)

09/11/2023, 16:25

The delicate balance necessary for ensuring reliable segregation of cell lineages is an intriguing problem in developmental biology. For mammals, and specifically for the early mouse embryo, cell fate decisions have been extensively researched, but the underlying mechanisms remain poorly understood. Current theoretical approaches to this problem still primarily rely on deterministic modeling,...

36. Optogenetic inhibition reveals large-scale intracortical interactions during early development

Deyue Kong (FIAS)

09/11/2023, 16:30

In ferret visual cortex, spontaneous activity prior to eye-opening is organized into large-scale, modular patterns in the absence of long-range horizontal projections. This correlated activity reveals endogenous networks that predict aspects of future orientation selectivity. Previous modelling works have shown that the long-range correlations observed in these networks can arise from purely...

37. Estimating the structure of lateral interactions in a computational model of cortical networks

Lorenzo Butti (FIAS)

09/11/2023, 16:35

Cortical activity patterns, such as those that arise in response to sensory input, depend on the recurrent interaction structure within the cortical network. In the early developing ferret visual cortex, cortical network activity is organized into modular, distributed patterns [Smith et al., 2018]. Computational models have shown that modular patterns can emerge from a lateral interaction...