| Shalom Diego |
| Email |
diegoshalom gmail.com |
| Gender |
Male |
| Nationality |
Argentina |
| Year of birth |
1974 |
| Department |
Research |
| University |
INECO |
| Country (of work) |
Argentina |
| Simulation Project Title |
A minimal ANN capable of learning trace conditioning. |
| Type of model |
Abstract neural network model |
| Description |
Trace conditioning requires the subject to use a tone stimulus (the CS) to correctly time
an eyeblink in order to avoid a noxious airpuff (the UCS) that occurs following a temporal
delay. This task is extremely valuable for theoretical study because it enables direct
cross-species comparisons. This task is a hippocampal dependent learning paradigm. This
projects aim to reproduce the empirically observed learnable trace conditioning, and time
course of learning. |
| Why complementary |
The main project of my postdoc aims to study learning in the form of trace conditioned
learning in human subjects in different states of consciousness. A computational model of this
learning would be a very valuable tool to compare with experiments and understand the dynamics
of learning. |
| Tutor |
Alex Roxin |