Francesco Cagnetta
École Polytechnique Fédérale de Lausanne
Overview
This 1.5-day workshop that follows the inaugural 2023 School on Analytical Connectionism aims to bring together researchers in neuroscience, psychology, and machine learning to discuss the state of the art of research in connectionist theories of higher-level cognition and psychology, as well as the latest theoretical and analytical methods for analysing neural networks.
The workshop will cover a broad range of topics, including advances in analytical methods for neural-network analysis, novel experimental results that require theoretical explanation, and the most recent modelling efforts. The goal is to provide participants with a comprehensive overview of the latest developments in the field and to foster collaboration and discussion among researchers from different backgrounds.
Speakers
Schedule
Thursday, September 7
Time (UTC)
Event
Speaker
Title
1:00 pm
registration
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1:30 pm
invited talk
Maneesh Sahani
TODO(stefsmlab)
2:45 pm
invited talk
Hadar Karmazyn Raz
TODO(stefsmlab)
4:00 pm
contributed talk
Francesco Innocenti
Understanding predictive coding as an adaptive trust-region method
4:30 pm
contributed talk
Safura Rashid Shomali
Revealing hidden neuronal microcircuits from correlations among spiking neurons
5:00 pm
contributed talk
Diksha Gupta
Understanding everything, everywhere: Distributed evidence accumulation in corticostriatal circuitry
Friday, September 8
Time (UTC)
Event
Speaker
Title
9:30 am
organizer talk
Stefano Sarao Mannelli
TODO(stefsmlab)
10:45 am
invited talk
Alessandro Ingrosso
TODO(stefsmlab)
11:45 am
contributed talk
Abel Sagodi
RNNs with gracefully degrading continuous attractors
1:30 pm
invited talk
Francesco Cagnetta
TODO(stefsmlab)
2:30 pm
contributed talk
Jaedong Hwang
Efficient exploration via fragmentation and recall
3:15 pm
invited talk
Erin Grant
What matters for neural predictivity?
4:30 pm
invited talk
Jay McClelland
TODO(stefsmlab)
5:30 pm
closing remarks
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