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BEGIN:VEVENT
SUMMARY:Inferring Global Exponents in Subsampled Neural Systems
DTSTART;VALUE=DATE-TIME:20250609T152000Z
DTEND;VALUE=DATE-TIME:20250609T152500Z
DTSTAMP;VALUE=DATE-TIME:20260521T042759Z
UID:indico-contribution-316-1638@cern.ch
DESCRIPTION:Speakers: Davide Conte (Università degli Studi della Campania
  "Luigi Vanvitelli")\nhttps://indico.unina.it/event/91/contributions/1638/
LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo
URL:https://indico.unina.it/event/91/contributions/1638/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Mapping Single-Cell Division Fluctuations to Population Dynamics
DTSTART;VALUE=DATE-TIME:20250609T151500Z
DTEND;VALUE=DATE-TIME:20250609T152000Z
DTSTAMP;VALUE=DATE-TIME:20260521T042759Z
UID:indico-contribution-316-1637@cern.ch
DESCRIPTION:Speakers: Domenico Caudo (University of Rome "La Sapienza")\nh
 ttps://indico.unina.it/event/91/contributions/1637/
LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo
URL:https://indico.unina.it/event/91/contributions/1637/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Single-molecule trajectories of reactants in chemically active con
 densates
DTSTART;VALUE=DATE-TIME:20250609T145500Z
DTEND;VALUE=DATE-TIME:20250609T151500Z
DTSTAMP;VALUE=DATE-TIME:20260521T042759Z
UID:indico-contribution-316-1622@cern.ch
DESCRIPTION:Speakers: Stefano Bo (King's College London)\nhttps://indico.u
 nina.it/event/91/contributions/1622/
LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo
URL:https://indico.unina.it/event/91/contributions/1622/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Anomalous transport properties of an active tracer in a crowded en
 vironment
DTSTART;VALUE=DATE-TIME:20250609T143500Z
DTEND;VALUE=DATE-TIME:20250609T145500Z
DTSTAMP;VALUE=DATE-TIME:20260521T042759Z
UID:indico-contribution-316-1621@cern.ch
DESCRIPTION:Speakers: Alessandro Sarracino (University of Campania "L. Van
 vitelli")\nhttps://indico.unina.it/event/91/contributions/1621/
LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo
URL:https://indico.unina.it/event/91/contributions/1621/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Pulsating active systems: collective behavior\, hydrodynamics and 
 perspectives
DTSTART;VALUE=DATE-TIME:20250609T141500Z
DTEND;VALUE=DATE-TIME:20250609T143500Z
DTSTAMP;VALUE=DATE-TIME:20260521T042759Z
UID:indico-contribution-316-1620@cern.ch
DESCRIPTION:Speakers: Alessandro Manacorda (CNR-ISC)\nhttps://indico.unina
 .it/event/91/contributions/1620/
LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo
URL:https://indico.unina.it/event/91/contributions/1620/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Orientational Order in Biological Development – Superfluid Shrim
 p
DTSTART;VALUE=DATE-TIME:20250609T124500Z
DTEND;VALUE=DATE-TIME:20250609T131500Z
DTSTAMP;VALUE=DATE-TIME:20260521T042759Z
UID:indico-contribution-316-1524@cern.ch
DESCRIPTION:Speakers: Mark Bowick (Kavli Institute for Theoretical Physics
  UCSB)\nMorphogenesis\, the process through which genes generate form\, es
 tablishes tissue scale order as a template for constructing the complex sh
 apes of the body plan. The extensive growth required to build these ordere
 d substrates is fueled by cell proliferation\, which\, naively\, should di
 srupt order. Understanding how active morphogenetic mechanisms couple cell
 ular and mechanical processes to generate order remains an outstanding que
 stion in animal development. I will review the sta- tistical mechanics of 
 orientational order and discuss the observation of a fourfold orientationa
 lly ordered phase (tetratic) in the model organism Parhyale hawaiensis. I 
 will also discuss theoretical mechanisms for the formation of orientationa
 l order that require both motility and cell division\, with support from s
 elf-propelled vertex models of tissue. The aim is to uncover a robust\, ac
 tive mechanism for generating global orientational order in a non-equilibr
 ium system that then sets the stage for the development of shape and form.
 \n\nhttps://indico.unina.it/event/91/contributions/1524/
LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo
URL:https://indico.unina.it/event/91/contributions/1524/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Daydreaming Hopfield Networks and their surprising effectiveness o
 n correlated data
DTSTART;VALUE=DATE-TIME:20250609T131500Z
DTEND;VALUE=DATE-TIME:20250609T134500Z
DTSTAMP;VALUE=DATE-TIME:20260521T042759Z
UID:indico-contribution-316-1525@cern.ch
DESCRIPTION:Speakers: Federico Ricci Tersenghi (Dip. di Fisica\, Sapienza 
 Università di Roma)\nTo improve the storage capacity of the Hopfield mode
 l\, we develop a version of the dreaming al-\ngorithm that perpetually rei
 nforces the patterns to be stored (as in the Hebb rule)\, and erases the\n
 spurious memories (as in dreaming algorithms). For this reason\, we called
  it Daydreaming. Day-\ndreaming is not destructive and it converges asympt
 otically to stationary retrieval maps. When\ntrained on random uncorrelate
 d examples\, the model shows optimal performance in terms of the\nsize of 
 the basins of attraction of stored examples and the quality of reconstruct
 ion. We also train\nthe Daydreaming algorithm on correlated data obtained 
 via the random-features model and argue\nthat it spontaneously exploits th
 e correlations\, thus increasing even further the storage capacity\nand th
 e size of the basins of attraction. Moreover\, the Daydreaming algorithm i
 s also able to stabi-\nlize the features hidden in the data. Finally\, we 
 test Daydreaming on the MNIST dataset and show\nthat it still works surpri
 singly well\, producing attractors that are close to unseen examples and\n
 class prototypes.\n\nhttps://indico.unina.it/event/91/contributions/1525/
LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo
URL:https://indico.unina.it/event/91/contributions/1525/
END:VEVENT
BEGIN:VEVENT
SUMMARY:A simple model of a sequence-reading diffusion: non-self-averaging
  and self-averaging properties
DTSTART;VALUE=DATE-TIME:20250609T121500Z
DTEND;VALUE=DATE-TIME:20250609T124500Z
DTSTAMP;VALUE=DATE-TIME:20260521T042759Z
UID:indico-contribution-316-1523@cern.ch
DESCRIPTION:Speakers: Enzo Marinari (Sapienza Università di Roma)\nMotiva
 ted by a question about the sensitivity of knots’ diffusive motion to th
 e actual sequence of nucleotides placed on a given DNA\, here we study a s
 imple model of a sequence-reading diffu- sion on a stretched chain with a 
 frozen sequence of “letters” A and B\, having different interaction en
 ergies. The chain contains a single distortion - a hernia - which brings t
 he two letters at its bottom together such that they interact. Due to inte
 ractions with the solvent\, the hernia performs a random hopping motion al
 ong the chain with the transition rates dependent on its actual posi- tion
 . Our two focal questions are a) the dependence of various transport prope
 rties on the letters’ interaction energy and b) whether these properties
  are self-averaging with respect to different re- alizations of sequences.
  We show that the current through a finite interval\, the resistance of th
 is interval and the splitting probabilities on this interval lack self-ave
 raging. On the contrary\, the mean first-passage time through a finite int
 erval with N sites and the diffusion coefficient in a pe- riodic chain are
  self-averaging in the limit N going to infinity. Concurrently\, two latte
 r properties exhibit sample-to-sample fluctuations for finite N\, as evide
 nced by numerical simulations.\n\nhttps://indico.unina.it/event/91/contrib
 utions/1523/
LOCATION:Hotel Palazzo Alabardieri Sala Caracciolo
URL:https://indico.unina.it/event/91/contributions/1523/
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