FENS abstract 2026 Ipek & Friðrik
on Monday, January 26th, 2026 12:58 | by Fridrik Kjartansson
Habit formation circuit in Drosophila Melanogaster
Fridrik Kjartansson*, Ipek Subay*, Radostina Lyutova, Björn Brembs
University of Regensburg, Zoology – Neurogenetics, Regensburg, Germany
*These authors contributed equally.
Classical learning forms association between a novel external stimulus and a
consequence of innate value. Conversely, operant learning associates animals
own behavior to such consequences; eventually habits form which ensure fast
and efficient behaviors. These forms of learning can reciprocally interact with
each other, with classical learning prioritized. A previous study from our group
demonstrated a scenario where in the case of two types of learning paradigms
introduced simultaneously in Drosophila, the classical stimulus was dominant.
However, when the training period was doubled, learning shifted to operant,
allowing habit formation in flies. Moreover, when the prominent associative
learning center, Mushroom Bodies (MB), are genetically silenced, extended
training becomes unnecessary and flies show premature habit formation.
Another study screened Mushroom Body Output Neurons (MBONs), which relay
signals from the MB and found that silencing MBON-02 specifically results in
premature habit formation suggesting MBON-02 acts as final integration center
for the selection between learning types. In this study, we utilize the power of
trans-tango and retro-tango techniques to identify the synaptic partners of
MBON-02 along with validating our results with existing connectomics datasets to
map the whole circuit that regulates the switch between these two types of
associative learning. Through behavioral testing using tethered flight, we will also
narrow down which types of MB cells, called Kenyon cells (KC) , are necessary for
the dominance of classical stimuli in such trials; furthermore, we’ll target
dopaminergic PAM neurons which form feedback loops with MBONs and KC to
elucidate their involvement.
Category: Habit formation, Operant learning, retro-tango, trans-tango | No Comments
Torque measurements
on Monday, January 19th, 2026 10:32 | by Fridrik Kjartansson






Category: flight, Memory, Operant learning, operant self-learning, Optomotor response | No Comments
Yaw torque experiments
on Monday, December 22nd, 2025 11:16 | by Julia Schulz





Category: Operant learning, operant self-learning | No Comments
Torque learning results 12.12.2025 FBK
on Monday, December 15th, 2025 10:52 | by Fridrik Kjartansson






Category: flight, Operant learning, operant self-learning, Optomotor response | No Comments
Confocal images
on Monday, December 8th, 2025 12:59 | by Julia Schulz

Category: Anatomy, crosses, Operant learning | No Comments
Confocal images, gain reduced
on Monday, December 1st, 2025 12:42 | by Fridrik Kjartansson




Category: Anatomy, Foxp, genetics, Operant learning, PKC, PKC_localisation | No Comments
Work flow molecular study
on Monday, November 3rd, 2025 10:57 | by Julia Schulz



Category: Operant learning, PKC | No Comments
2.Yt learning red line
on Monday, September 29th, 2025 1:01 | by Julia Schulz
2.1 OMRs at start

2.2 OMRs at end

2.3 PI( preference subtractted)

2.4 statistics

Category: Operant learning, operant self-learning | No Comments
1.Yt learning_WTB flies
on Monday, September 29th, 2025 12:58 | by Julia Schulz
1.1 OMRs at start

1.2 OMRs at end

1.3 Asymmetry Index at start

1.4 Asymmetry Index at end

1.5 PI (preference subtracted)

1.6 Statistics

2.
Category: Operant learning, operant self-learning | No Comments


