2022 Symposium revealed! ︎︎︎ Tumour Microenvironment   ︎  Revisit CRS21 available talks by clicking on their titles  ︎  Revisit the available posters by clicking on the poster title  ︎  CRS21 Digital Booklet  ︎  2022 Symposium revealed! ︎︎︎ Tumour Microenvironment   ︎  Revisit CRS21 available talks by clicking on the talks titles  ︎  Revisit the available posters by clicking on the poster title  ︎  CRS21 Digital Booklet  ︎  



︎  Time in Lisbon (WEST)



9:00

Registration




9:30 ︎︎︎ 11:15
Talk Session

Machine Learning for Data Analysis I




9:30

Image segmentation with high-level priors and (almost) nothing else


Anna Kreshuk
EMBL Heidelberg



10:00

Bridging mechanistic and data-driven models of neural computation


Jakob Macke
University of Tübingen and MPI for Intelligent Systems



10:30

Algebraic Machine Learning: a symbolic approach to learning from data and prior knowledge without optimization.


Gonzalo de Polavieja
Champalimaud Research



11:00

Low-dimensional hindbrain responses during optokinetic behavior in larval zebrafish


Claudia Feierstein
Champalimaud Research




11:15

Break




11:45 ︎︎︎ 13:00
Talk Session

Computational Vision




11:45

Engineering a less artificial intelligence


Andreas Tolias
Baylor College of Medicine



12:15

Connectome constrained simulations with task optimization lead to accurate predictions of tuning properties in the fruit fly visual system


Janne Lappalainen
HHMI Janelia Research Campus



12:30

Metric properties of neural representations


Eero Simoncelli
New York University / Flatiron Institute



13:00

Lunch




14:00

Poster Session I ︎︎︎




16:00
Keynote Lecture

Reverse engineering visual intelligence


James DiCarlo
MIT McGovern Institute



17:00

Break




17:30 ︎︎︎ 19:00
Talk Session

Machine Learning for Data Analysis II




17:30

Probabilistic input-driven RNNs for identifying controlled latent dynamics in neural data


Marine Schimel
University of Cambridge



17:45


Asaph Zylbertal
Department of Neuroscience, Physiology & Pharmacology, UCL




18:00

Causal Inference in Neuroscience


Konrad Kording
University of Pennsylvania



18:30

Sparse Coding, ReLU Auto-encoders, and Pattern Discovery in Neural Data


Demba Ba
Harvard John A. Paulson School of Engineering and Applied Sciences