2008 |
6 | 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 |
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 |