The trial-by-trial dynamics of behavioral changes can reveal the mechanisms underlying learning. Most experiments, however, quantify learning by comparing a post- to a pre-learning block and thus are blind to the dynamics during learning. Other studies obtain learning curves by averaging across subjects, but if learning systematically differs between individuals, the average learning curve can be misleading. As a service to other projects, this Focus Group will export support and training in the application of trial-by-trial and intra-trial analysis methods to these groups. Furthermore, the Focus Group will import data from the projects for the pursuit of a cross-cutting scientific agenda: to compare the learning dynamics across different individuals, learning stages, experimental paradigms, and species.
Guiding questions of F01:
Cheng S, Frank LM (2008) New experiences enhance coordinated neural activity in the hippocampus. Neuron. 57(2): 303–313.
Cheng S, Sabes PN (2006) Modeling sensorimotor learning with linear dynamical systems. Neural Comput. 18(4): 760–793.
Cheng S, Sabes PN (2007) Calibration of visually guided reaching is driven by error-corrective learning and internal dynamics. J Neurophysiol. 97(4): 3057–3069.
Demic S, Cheng S (2014) Modeling the dynamics of disease states in depression. PLoS One. 9(10): e110358.
Koenig S, Lachnit H (2011) Curved saccade trajectories reveal conflicting predictions in associative learning. J Exp Psychol Learn Mem Cogn. 37(5): 1164–1177.
Lachnit H, Schultheis H, Konig S, Uengoer M, Melchers K (2008) Comparing elemental and configural associative theories in human causal learning: a case for attention. J Exp Psychol Anim Behav Process. 34(2): 303–313.
Lachnit H, Thorwart A, Schultheis H, Lotz A, Koenig S, Uengoer M (2013) Indicators of early and late processing reveal the importance of within-trial-time for theories of associative learning. PLoS One. 8(6): e66291.
Lengersdorf D, Pusch R, Güntürkün O, Stüttgen MC (2014) Neurons in the pigeon nidopallium caudolaterale signal the selection and execution of perceptual decisions. Eur J Neurosci. 40(9): 3316–3327.
Stüttgen MC, Kasties N, Lengersdorf D, Starosta S, Gunturkun O, Jakel F (2013) Suboptimal criterion setting in a perceptual choice task with asymmetric reinforcement. Behav Processes. 96: 59–70.
Thorwart A, Schultheis H, König S, Lachnit H (2009) ALTSim: a MATLAB simulator for current associative learning theories. Behav Res Methods. 41(1): 29–34.