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
InvitedP = 6
Schedule
| Time | Thu 9/7 | Fri 9/8 | |||
|---|---|---|---|---|---|
| 09:30–10:30 | Contributed talk Stefano Sarao Mannelli | ||||
|
10:30–10:45
break
|
|||||
| 10:45–11:45 | Invited talk Alessandro Ingrosso | ||||
| 11:45–12:15 | Contributed talk Abel Sagodi | ||||
|
12:15–13:00
lunch
|
|||||
| 13:00 | Registration | ||||
| 13:30–14:30 | Invited talk Maneesh Sahani | Invited talk Francesco Cagnetta | |||
| 14:30–15:00 | Contributed talk Jaedong Hwang | ||||
| 14:45–15:45 | Invited talk Hadar Karmazyn Raz | ||||
| 15:15–16:15 | Invited talk Erin Grant | ||||
| 16:00–16:30 | Contributed talk Francesco Innocenti | ||||
| 16:30–17:30 | Contributed talk Safura Rashid Shomali | Invited talk Jay McClelland | |||
| 17:00–17:30 | Contributed talk Diksha Gupta | ||||
| 17:30–17:45 | Closing remarks | ||||
