Research
Processing of Sensory Information in the Cerebral Cortex
Spontaneous membrane potential of a neuron in the somatosensory cortex of awake, head-fixed rat (~2 seconds, sweeping in real time, with spikes cut at -30 mV).
Local cortical networks consist of feedforward and feedback circuits, found within and across layers. Little is known, however, about their functional role in the processing of sensory inputs. Which kinds of transformations occur in each cortical layer? Do the local recurrent connections amplify distal inputs? What is the role of cortical inhibition in determining the shape of response to an input? How the cortical circuits are affected by adaptation? How inputs arriving from different parts of a receptive field are integrated? Unveiling the mechanisms that generate cortical activity is a crucial step towards understanding information processing in the cortex. To address these questions we study in-vivo the subthreshold and firing properties of neurons in the barrel cortex of the rat.
Methodology:
Primary sensory areas provide a
unique opportunity to study how
the cortical column is activated. Sensory
inputs from the thalamus activate primarily neurons in layer 4
and subsequently the response spreads to other cortical layers and to
neighboring columns. Because each neuron in the cortex receives inputs
from
many local and distal excitatory and inhibitory neurons, the membrane
potential
of a cortical neuron in the living animal reflects the sum of synaptic
activity
in the circuits to which the neuron belongs. Firing, however, is evoked
only
when the activity reaches a threshold.
Hence, our main experimental technique is to record the membrane
potential of cortical neurons in-vivo during spontaneous and evoked
activity.
Sensory system:
The main focus of our lab is to find
out how sensory input is
processed in different layers of the somatosensory cortex (S1)
of the rat. Rats are nocturnal animals with relatively poor sight, so
that the
whiskers are one of their primary means for gathering information on
their
environment, performed by repeated sweeps at frequencies of 5-20 Hz.
Neurons of layer 4
in S1 of the rat are aggregated into cell clusters termed
barrels. The barrels are arranged in rows and columns that correspond
topographically to the mystacial whisker pad and thus respond
preferentially to one whisker (the principle whisker).
Detailed information on previous and
current research
topics:
Sensory
adaptation: The response of neurons
to natural stimulation depends on the past history of stimulation.
Sensitivity
increases during periods of weak stimulation, whereas when the
background
stimulation is strong the sensitivity is reduced. This form of gain
control is
called sensory adaptation. Our research is focused on the mechanisms of
adaptation in the cortex and the thalamus. We have found that cortical
adaptation is highly specific to the stimulated whisker and thus
indicate that
inputs from different whiskers undergo independent adaptation paths. We
also
study how adaptation affects the balance between excitation and
inhibition. Our
data provide direct indication for faster adaptation rate of
inhibition, when compared
to excitation.
Synchrony
of
cortical activity: Using dual intracellular recordings it was
previously shown
that the membrane potential of nearby cortical cells in the visual
cortex of
anesthetized cats is highly synchronized. Similar behavior is found in
the
barrel cortex of the rat. We utilize this technique to investigate the
real-time relation between excitation and inhibition during ongoing
activity
and during sensory evoked response. Our recently obtained data indicate
that
the excitatory network is under continuous control of inhibition.
Spatial
integration: spatial integration, the process by which different
elements
of an object that activates a neuron are summed, is fundamental to all
sensory
modalities. We have found that summation is sublinear and usually the
size of
the evoked synaptic potential when two whiskers are stimulated
simultaneously
is almost equal to the larger of the two individual responses.
The
olivocerebellar system: In addition to investigating the
somatosensory
cortex, we also study the cerebellar system, currently focusing on the
physiology of the inferior olive (IO) nucleus. We recently demonstrated
that
neurons in the IO exhibit two types of subthreshold rhythms: at ~10 Hz
(the
reminiscent of similar activity previously shown in slices) and an
additional
rhythm at 0.5-2 Hz. Our main interest is to determine the role of this
activity
type in integration of synaptic inputs in the olivocerebellar
system.