Pages that link to "Q28757307"

The following pages link to Bilinearity, rules, and prefrontal cortex (Q28757307):

Displaying 20 items.

• (Q28764297) (redirect page) (← links)
• Synthesizing cognition in neuromorphic electronic systems (Q30441944) (← links)
• The influence of Markov decision process structure on the possible strategic use of working memory and episodic memory (Q33354050) (← links)
• Learning latent structure: carving nature at its joints (Q33823347) (← links)
• Attractor concretion as a mechanism for the formation of context representations (Q33938776) (← links)
• Working memory updating and the development of rule-guided behavior (Q34051602) (← links)
• Is the rostro-caudal axis of the frontal lobe hierarchical? (Q35671917) (← links)
• Fundamental limits on persistent activity in networks of noisy neurons (Q36378428) (← links)
• Simple substrates for complex cognition (Q37395808) (← links)
• Feedback-related negativity codes prediction error but not behavioral adjustment during probabilistic reversal learning (Q37690320) (← links)
• Computational models of cognitive control (Q37698799) (← links)
• The computational and neural basis of cognitive control: charted territory and new frontiers (Q38235609) (← links)
• A perspective on neural and cognitive mechanisms of error commission. (Q38382512) (← links)
• Analyses of Markov decision process structure regarding the possible strategic use of interacting memory systems (Q38384346) (← links)
• Strategic cognitive sequencing: a computational cognitive neuroscience approach. (Q39368830) (← links)
• Multitasking versus multiplexing: Toward a normative account of limitations in the simultaneous execution of control-demanding behaviors (Q40650792) (← links)
• Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats (Q41645580) (← links)
• Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses (Q42161080) (← links)
• Developing PFC representations using reinforcement learning (Q42673659) (← links)
• Assembling old tricks for new tasks: a neural model of instructional learning and control. (Q45102648) (← links)