Randolf
Menzel
Department of Neurobiology
Freie Universität Berlin, Germany
http://www.neurobiologie.fu-berlin.de/menzel/menzel.html
Friday,
October 9
12-1:30pm
Watching a small but intelligent brain
as it learns and remembers
Honeybees have small brains, but their
behavioural repertoire is
impressive. They navigate over several kilometers
using a geometric
reference system of the environment.
They communicate about important
places by a ritualized movement (the
waggle dance) indicating distance
and direction to the particular location
from their nest site. They
learn about the features of food sources
(color, odor, shape, relative
position). Reward learning in honeybees
initiates a sequence of neural
processes that lead to long-lasting
memory, and pass through multiple
transient memory phases. The lecture
will present our top down strategy
starting with behavioral observations
under nature conditions,
establishing a reduced but whole animal
preparation that reflects the
essential properties of associative
learning and allows for the study of
associative learning at the behavioral
and neural level.
Opto- and electrophysiological
recordings are applied to study
associative plasticity at the level of
the single neuron and neural
circuits in an animal that still shows
behavioral learning, memory
formation and retrieval. The report
shall focus on recent data collected
from the mushroom body, a high order
integration center of the insect
brain. Imaging of the input region of the
mushroom bodies reveals that
odors are represented in specific
patterns of pre- and postsynaptic
activations. A comparison of the
dynamics of the odor responses shows
that mushroom body intrinsic neurons
(Kenyon cells) code odors in a
sparse way both in the time domain and
on the population level. Odor
learning leads to changes of the
synaptic transmission at the input
synapses to these Kenyon cells to both
the trained and specifically not
trained odor.
The optophysiological approach allows us
to trace memory not only with
respect to the mechanisms involved in
forming the memory but also to the
patterns of synaptic plasticity that
store the contents of the memory.
Single neuron intracellular and
extracellular recordings as well as
multi-unit recordings of mushroom body
output neurons reveal a recoding
strategy of the mushroom body from a
stimulus space to a value space. A
model will be presented that captures
the results of our recordings, and
assigns particular functions to the
input and output side of the
mushroom body in the bee brain.
Neuroscience in general needs model
systems to unravel the intricate and
complex working of the brain. Insects
provide us with the ideal
situation to address basic problems of
brain science at a level of
neural complexity that can be analyzed
with the available methods using
animals that still are able to behave. I
shall highlight the unique
opportunities of insects in the search
for the neural basis of learning
and memory.