» Articles » PMID: 35757095

In Search for the Retrievable Memory Trace in an Insect Brain

Overview
Specialty Neurology
Date 2022 Jun 27
PMID 35757095
Authors
Affiliations
Soon will be listed here.
Abstract

The search strategy for the memory trace and its semantics is exemplified for the case of olfactory learning in the honeybee brain. The logic of associative learning is used to guide the experimental approach into the brain by identifying the anatomical and functional convergence sites of the conditioned stimulus and unconditioned stimulus pathways. Two of the several convergence sites are examined in detail, the antennal lobe as the first-order sensory coding area, and the input region of the mushroom body as a higher order integration center. The memory trace is identified as the pattern of associative changes on the level of synapses. The synapses are recruited, drop out, and change the transmission properties for both specifically associated stimulus and the non-associated stimulus. Several rules extracted from behavioral studies are found to be mirrored in the patterns of synaptic change. The strengths and the weaknesses of the honeybee as a model for the search for the memory trace are addressed in a comparison with . The question is discussed whether the memory trace exists as a hidden pattern of change if it is not retrieved and whether an external reading of the content of the memory trace may ever be possible. Doubts are raised on the basis that the retrieval circuits are part of the memory trace. The concept of a memory trace existing beyond retrieval is defended by referring to two well-documented processes also in the honeybee, memory consolidation during sleep, and transfer of memory across brain areas.

Citing Articles

Compromising Tyrosine Hydroxylase Function Extends and Blunts the Temporal Profile of Reinforcement by Dopamine Neurons in .

Amin F, Konig C, Zhang J, Kalinichenko L, Konigsmann S, Brunsberg V J Neurosci. 2025; 45(11).

PMID: 39753299 PMC: 11905344. DOI: 10.1523/JNEUROSCI.1498-24.2024.


The caloric value of food intake structurally adjusts a neuronal mushroom body circuit mediating olfactory learning in .

Coban B, Poppinga H, Rachad E, Geurten B, Vasmer D, Rodriguez Jimenez F Learn Mem. 2024; 31(5).

PMID: 38862177 PMC: 11199950. DOI: 10.1101/lm.053997.124.


Future avenues in mushroom body research.

Chan I, Chen N, Hernandez J, Meltzer H, Park A, Stahl A Learn Mem. 2024; 31(5).

PMID: 38862172 PMC: 11199946. DOI: 10.1101/lm.053863.123.


Learning and memory using Drosophila melanogaster: a focus on advances made in the fifth decade of research.

Davis R Genetics. 2023; 224(4).

PMID: 37212449 PMC: 10411608. DOI: 10.1093/genetics/iyad085.


Navigation and dance communication in honeybees: a cognitive perspective.

Menzel R J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2023; 209(4):515-527.

PMID: 36799987 PMC: 10354182. DOI: 10.1007/s00359-023-01619-9.

References
1.
Iwama A, Shibuya T . Physiology and morphology of olfactory neurons associating with the protocerebral lobe of the honeybee brain. J Insect Physiol. 2003; 44(12):1191-1204. DOI: 10.1016/s0022-1910(98)00084-5. View

2.
Rolls E . An attractor network in the hippocampus: theory and neurophysiology. Learn Mem. 2007; 14(11):714-31. DOI: 10.1101/lm.631207. View

3.
Diekelmann S, Born J . The memory function of sleep. Nat Rev Neurosci. 2010; 11(2):114-26. DOI: 10.1038/nrn2762. View

4.
Giurfa M . Honeybees foraging for numbers. J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2019; 205(3):439-450. DOI: 10.1007/s00359-019-01344-2. View

5.
Pech U, Revelo N, Seitz K, Rizzoli S, Fiala A . Optical dissection of experience-dependent pre- and postsynaptic plasticity in the Drosophila brain. Cell Rep. 2015; 10(12):2083-95. DOI: 10.1016/j.celrep.2015.02.065. View