ITS Symposium Archive

Language, learning, and networks

Fri, Dec 4, 2020, 10:00 am

We are in the midst of a revolution driven by models for learning in neural networks.
In this symposium we will explore these models, their application to the deep networks that are the state of the art in language processing by machines,
and the relation of these ideas to the extraordinary ability of human infants to learn...

Chromosomes, condensates, and transcriptional control

Fri, Nov 6, 2020, 10:00 am

All cells must control the reading out (“transcription”) of information encoded in their DNA.  
In this symposium we will look at new observations on the condensation of protein droplets surrounding sites of active transcription,
at new theoretical approaches to the  dynamics of chromosomes, and at theories that connect these...

Evolutionary dynamics

Fri, Oct 9, 2020, 10:00 am

Evolution is a combination of randomness and selection, in systems with many interacting degree of freedom, and hence a challenging problem in statistical physics.
In this symposium we will look at the dynamics of evolution in the real world, including data on covid-19, in simplified laboratory experiments,

Problems in neural and cognitive computation

Fri, Apr 17, 2020, 10:00 am

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Using food-caching birds to study the neuroscience of episodic memory...

CPBF undergraduate outreach at CUNY

Fri, Mar 13, 2020, 1:30 pm

Zoom event hosted by Bill Bialek and Josh Schaevitz

Information flow in bacterial communities


Searching for simpler models

Toward the physics of complex behaviors

Fri, Oct 11, 2019, 9:30 am

Animal navigation in uncertain environments
Agnese Seminara, Université Côte d’Azur

Quantitative windows into the minds of dolphins
Marcelo Magnasco, Rockefeller University

How birds sing: Taking precise data, making precise theories.
Samuel Sober and...

Dynamics and information in transcriptional control

Fri, May 3, 2019, 9:30 am

Transcription factors, chromosome topology, and transcription control
Jie Xiao, Johns Hopkins University

The role of phase separation in regulation of gene transcription in eukaryotes
Arup Chakraborty, Massachusetts Institute of Technology

The problem of ecological diversity

Fri, Apr 12, 2019, 9:30 am

A bottom-up approach to microbial community assembly
Jeff Gore, Massachusetts Institute of Technology

The origin of chaos in large interacting ecosystems
Giulio Biroli, École Normale Supérieure

Collective behaviors in large interactive ecosystems: A phase diagram...

Exploring large populations of neurons

Fri, Mar 15, 2019, 9:30 am to 6:00 pm

Measuring and understanding the brain’s model of the external world
Loren Frank, University of California at San Francisco and HHM

The intrinsic neuronal dynamics of a canonical cognitive circuit
Ila Fiete, Massachusetts Institute of Technology

Exploring Sequence Space

Fri, Dec 14, 2018, 9:30 am

Sequence diversity in the adaptive immune system
Curtis Callan, Princeton University

Deep learning and proteins
Lucy Colwell, Cambridge University

Learning protein constitutive motifs from sequence data
Remi Monasson, École Normale Supérieure

Seeing beyond V1

Fri, Nov 16, 2018, 9:30 am

Neural mechanisms for seeing without V1
Tony Ro, The Graduate Center, CUNY

How the brain signals memories of what we’ve seen
Nicole Rust, University of Pennsylvania

How high-order image statistics shape cortical visual processing
Jonathan Victor, Weill...

Protein droplets and the physics of intracellular phase separation

Fri, Dec 1, 2017, 10:00 am

Protein disorder and liquid phase separation
Shana Elbaum-Garfinkle, The Graduate Center and ASRC, CUNY

Physics of bacterial growth

Fri, Oct 13, 2017, 9:30 am

Universality and individuality in growth and expression dynamics
Hanna Salman, University of Pittsburgh

Quantitative approaches to behavior

Fri, Sep 15, 2017, 9:30 am

Dynamic acoustic communication in flies
Mala Murthy, Princeton University