Condensed Complexity - The Essence of Information Processing and Cognition?

Speaker List

• Vijay Balasubramanian (University of Pennsylvania)
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    Thinking with limited resources

• Lorenzo Butti (FIAS)
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    Estimating the structure of lateral interactions in a computational model of cortical networks

• Roberto Covino (FIAS)
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    Investigating mechanisms of biomolecular self‐organization with simulation intelligence

• Alberto Di Meglio (CERN)
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    The CERN Quantum Technology Initiative the Quantum Computing for HEP Programme

• Felix Effenberger (ESI Frankfurt)
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    The functional role of oscillatory dynamics in neocortical circuits: a computational perspective

• Eckhard Elsen (Deutsches Elektronen-Synchrotron (DE))
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    Welcome to GSIC 2023: Overview and practical information

• Thorsten Enßlin (MPI for Astronomy, Garching)
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    Attention, Information, & Field Theory

• Eliu Huerta (Argonne National Laboratory)
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    Frontiers in autonomous AI-driven discovery

• Johannes Jaeger (University of Vienna / Vienna Complexity Science Hub)
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    Cognition is a Form of Agency, not Computation

• Matthias Kaschube (Gothe University Frankfurt & FIAS)
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    Cortical representations and their emergence in development

• Mustafa Khammash (ETH Zurich)
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    Design of genetic control systems: Theory and Implementation

• Deyue Kong (FIAS)
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    Optogenetic inhibition reveals large-scale intracortical interactions during early development

• Aneta Koseska (MPI for Neurobiology of Behavior)
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    Criticality and ghosts in natural computations

• Thomas Lai (FIAS)
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    Synaptic learning rate is reduced during fear learning in mouse auditory cortex

• Benjamiin Machta (Yale University)
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    Understanding the energy cost of integrating information in a simple sensory neuron

• Franziska Matthäus (FIAS / Goethe University Frankfurt)
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    Biophysical modeling of cells and tissues

• Kristel Michielsen (FZ Jülich)
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    State of the art and perspectives of quantum computing

• Wiktor Młynarski (LMU Munich)
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    Computational Principles of Dynamic Sensory Representations

• Gayathri Ramesan (Max Planck Institute for Neurobiology of Behavior-Caesar)
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    Beyond fixed points: transient quasi-stable dynamics emerging from ghost channels and ghost cycles

• Michael Alexander Ramirez Sierra (FIAS)
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    A genuinely stochastic modeling approach for understanding cell fate specification during early mouse development

• Luciano Rezzolla (Goethe University Frankfurt)
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    Modelling extreme spacetimes: accreting supermassive black holes

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    Modelling extreme spacetimes: neutron-star mergers

• Petra Ritter (Charité Berlin)
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    Simulating digital twins of the brain

• Gemma Roig (Goethe University Frankfurt)
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    TBA

• Ritesh Shah
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    CLIMATOLOGY OF IONOSPHERIC IRREGULARITIES DURING SOLAR CYCLE 24

• Ravid Shwartz-Ziv (New York University)
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    Decoding the Information in Self-Supervised Learning: Pathway to Optimal Representations

• Wolf Singer (TBC) (MPI for Brain Research)
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    The cerebral cortex: A delay coupled oscillator network

• Thomas Sokolowski (Frankfurt Institute for Advanced Studies)
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    GSIC 2023 Summary

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    Welcome to GSIC 2023: Overview and practical information

• Shriya Soma
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    A physics-based deep learning algorithm for solving inverse problems

• Thomas Südhof (Stanford University)
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    Circuits and Transcriptional Mechanisms of Long-Term Memory: A Beginning

• Pieter Rein ten Wolde (FOM Institute AMOLF, Amsterdam)
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    Path weight sampling: Exact Monte Carlo computation of the mutual information between stochastic trajectories

• Sigrid Trägenap (FIAS)
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    The nature-nurture transform underlying the emergence of reliable cortical representations

• Max Welling (University of Amsterdam)
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    Generalized Equivariance through Fluid Representations in Brains and Machines

• Max Welling (University of Amsterdam)
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    Generalized Equivariance through Fluid Representations in Brains and Machines

• Marcin Zagorski
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    Formation of patterns in biological systems

• Kai Zhou (FIAS, Goethe-University Frankfurt am Main)
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    Deep Generative Models Introduction