Representation of information in cortical and thalamocortical
networks.
Intracellular and optical recordings in
vivo and in vitro.
My
lab's focus is on how the intrinsic cellular properties of neurons
and the characteristics of local neuronal networks contribute
to the encoding of peripheral sensory input in two separate animal
models: (i) the cat visual system and (ii) the rat whisker system.
Responses to sensory stimuli are recorded from the neocortex and
thalamus in vivo using intracellular and optical voltage-sensitive
dye methods. These methods are also applied to the brain slice
preparation in order to further study the dynamics of cortical
microcircuitry.
Using these techniques, we address a number of basic questions.
Do differences in intrinsic cellular properties across individual
neurons contribute to the representation of sensory inputs? How
do local network properties such as feed-forward and feed-back
inhibition shape the representation of peripheral stimuli? How
do single cells acquire selectivity to specific stimulus features?
How are thalamic and cortical receptive fields generated? How
are responses to multiple sensory inputs integrated at different
levels in the brain?
KEY WORDS: cortex, thalamus, sensory coding, intracellular,
optical, barrels, vision
Contreras D, Palmer L (2003) Response to contrast of electrophysiologically defined cell classes in primary visual cortex. J Neurosci 23:6936-6945.
Wilent WB, Contreras D (2004) Synaptic responses to whisker deflections in rat barrel cortex as a function of cortical layer and stimulus intensity. J Neurosci 24:3985-3998.
Cardin JA, Palmer LA, Contreras D (2005) Stimulus-dependent gamma (30-50 Hz) oscillations in simple and complex fast rhythmic bursting cells in primary visual cortex. J Neurosci 25:5339-5350.
Wilent WB, Contreras D (2005) Dynamics of excitation and inhibition underlying stimulus selectivity in rat somatosensory cortex. Nat Neurosci 8:1364-1370
Civillico EF, Contreras D (2006) Integration of evoked responses in supragranular cortex studied with optical recordings in vivo. J Neurophysiol 96:336-351.
Higley MJ, Contreras D (2006) Balanced excitation and inhibition determine spike timing during frequency adaptation. J Neurosci 26:448-457.