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Overview
Seminars
Funding
Recorded talks
ePosters
Podcasts
People
Trending

Calendar
Map

Chaos Theory

dynamical mean-field theory
chaos
neural circuits
Lyapunov spectrum
chaotic attractor
random matrix theory
criticality
information processing
Hebbian-like plasticity
many-body systems

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SeminarHebbian-like plasticitydynamical mean-field theory
Learning to Oscillate: Hebbian Plasticity Imprints Limit Cycles in Neural Networks
Tomorrow · 16:00 UTC · Online · Pierfrancesco Urbani · IPhT, Saclay
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Closes today
Ambizione — Final 2026 Call
Grant · Swiss National Science Foundation · Open to all fields
Closes tomorrow
SASUF Long-Term Mobility Grants for Doctoral and Early-Career Researchers 2026
Placement · South Africa–Sweden University Forum · Open to all fields
Closes Nov 6 · 3 days left
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Fellowship · Australian Research Council · Open to all fields
Closes Nov 15 · 12 days left
2026 Royal Society of Tasmania Doctoral Awards
Award · Royal Society of Tasmania · Open to all fields

Latest

Recordingdynamical mean-field theorychaotic attractor
Equilibrium Geometry and Chaotic Dynamics in Large Recurrent Neural Networks
Recorded May 27 · Giancarlo La Camera · Stony Brook University · Video · 47 min
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Watch
Recordingmany-body systemsrandom matrices
Quantum chaos and the complexity of time evolution
Recorded Apr 1 · Vijay Balasubramanian · University of Pennsylvania · Video · 1 h 16 min
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Watch
ePoster
A time-resolved theory of information encoding in recurrent neural networks
Presented Mar 12, 2023 · Rainer Engelken & Sven Goedeke
ePoster
How Symmetry and Self-Coupling Shape Dynamics and Trainability of Recurrent Neural Networks
Presented Mar 11, 2023 · Matthew Ding & Rainer Engelken

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Statistical Physics
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Statistical Mechanics
Applied Mathematics
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