A01 A02 A03 A04 A05 A06 A07 A09 A10 A11 A12 A13 A14 A18 A19 A21 F01 F02 INF Ö

A19 – Causality and neural dynamics of context and generalization

Jonas Rose

Context is a critical variable in extinction learning. Yet its poorly understood what exactly constitutes a context and why extinction is so sensitive to it. By testing pigeons in a novel arena-setup we will establish if context is a physical or a learned stimulus property. We will further use optogenetic stimulation to probe the causality in the underlying neural network. Using modern, wireless, neurophysiology in crows we will also test if mechanisms of attention or of generalization can account for the difference in context-sensitivity between acquisition and extinction.

Guiding questions of A19:

  • Is context defined only by contingency and continuity or are some physical properties more likely to become a context? Can we further identify causality in the underlying neural network using optogenetic manipulation?
  • Is the avian hippocampus involved in context-dependency of extinction learning?
  • Is the difference in context-dependency between acquisition and extinction a difference in attention or in generalization?
  • Are individual differences in extinction-renewal driven by reinforcement history alone or are rules and strategies involved? Are such results stable across species?

Jonas Rose

Projektleiter A19

Ruhr-Universität Bochum

Juan M. Peschken

Doktorand A19

Ruhr-Universität Bochum

Lukas Hahn

Postdoc A19

Ruhr-Universität Bochum

10 project-relevant publications

Balakhonov D, Rose J (2017) Crows Rival Monkeys in Cognitive Capacity. Sci Rep. 7(1): 8809.

Dykes M, Klarer A, Porter B, Rose J, Colombo M (2018) Neurons in the Pigeon Nidopallium Caudolaterale Display Value-Related Activity. Sci Rep. 8(1): 1–10.

Fongaro E, Rose J (2020) Crows control working memory before and after stimulus encoding. Sci Rep. 10(1): 3253.

Kalenscher T, Windmann S, Diekamp B, Rose J, Güntürkün O, Colombo M (2005) Single units in the pigeon brain integrate reward amount and time-to-reward in an impulsive choice task. Curr Biol. 15(7): 594–602.

Lundqvist M, Rose J, Herman P, Brincat SL, Buschman TJ, Miller EK (2016) Gamma and Beta Bursts Underlie Working Memory. Neuron. 90(1): 152–164.

Puig MV, Rose J, Schmidt R, Freund N (2014) Dopamine modulation of learning and memory in the prefrontal cortex: insights from studies in primates, rodents, and birds. Front Neural Circuits. 8: 93.

Rose J, Schiffer A-M, Güntürkün O (2013) Striatal dopamine D1 receptors are involved in the dissociation of learning based on reward-magnitude. Neuroscience. 230: 132–138.

Rose J, Colombo M (2005) Neural correlates of executive control in the avian brain. PLoS Biol. 3(6): e190.

Rose J, Otto T, Dittrich L (2008) The Biopsychology-Toolbox: a free, open-source Matlab-toolbox for the control of behavioral experiments. J Neurosci Methods. 175(1): 104–107.

Rose J, Schmidt R, Grabemann M, Güntürkün O (2009) Theory meets pigeons: the influence of reward-magnitude on discrimination-learning. Behav Brain Res. 198(1): 125–129.