| * | 2009 |
|---|
| 8 | EE | Yael Niv:
Tutorial summary: The neuroscience of reinforcement learning.
ICML 2009: 176 |
| 2008 |
|---|
| 7 | EE | Michael T. Todd,
Yael Niv,
Jonathan D. Cohen:
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement.
NIPS 2008: 1689-1696 |
| 6 | EE | John R. Staddon,
Yael Niv:
Operant conditioning.
Scholarpedia 3(9): 2318 (2008) |
| 2006 |
|---|
| 5 | EE | Peter Dayan,
Yael Niv,
Ben Seymour,
Nathaniel D. Daw:
The misbehavior of value and the discipline of the will.
Neural Networks 19(8): 1153-1160 (2006) |
| 2005 |
|---|
| 4 | EE | Yael Niv,
Nathaniel D. Daw,
Peter Dayan:
How fast to work: Response vigor, motivation and tonic dopamine.
NIPS 2005 |
| 2002 |
|---|
| 3 | EE | Daphna Joel,
Yael Niv,
Eytan Ruppin:
Actor-critic models of the basal ganglia: new anatomical and computational perspectives.
Neural Networks 15(4-6): 535-547 (2002) |
| 2 | EE | Yael Niv,
Daphna Joel,
Isaac Meilijson,
Eytan Ruppin:
Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior.
Neurocomputing 44-46: 951-956 (2002) |
| 2001 |
|---|
| 1 | EE | Yael Niv,
Daphna Joel,
Isaac Meilijson,
Eytan Ruppin:
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching.
ECAL 2001: 252-261 |
