@article {4303,
	title = {Laminar analysis of excitatory local circuits in vibrissal motor and sensory cortical areas.},
	journal = {PLoS Biology},
	volume = {9},
	year = {2011},
	month = {2011 Jan 4},
	pages = {e1000572},
	abstract = {<p>Rodents move their whiskers to locate and identify objects. Cortical areas involved in vibrissal somatosensation and sensorimotor integration include the vibrissal area of the primary motor cortex (vM1), primary somatosensory cortex (vS1; barrel cortex), and secondary somatosensory cortex (S2). We mapped local excitatory pathways in each area across all cortical layers using glutamate uncaging and laser scanning photostimulation. We analyzed these maps to derive laminar connectivity matrices describing the average strengths of pathways between individual neurons in different layers and between entire cortical layers. In vM1, the strongest projection was L2/3{\textrightarrow}L5. In vS1, strong projections were L2/3{\textrightarrow}L5 and L4{\textrightarrow}L3. L6 input and output were weak in both areas. In S2, L2/3{\textrightarrow}L5 exceeded the strength of the ascending L4{\textrightarrow}L3 projection, and local input to L6 was prominent. The most conserved pathways were L2/3{\textrightarrow}L5, and the most variable were L4{\textrightarrow}L2/3 and pathways involving L6. Local excitatory circuits in different cortical areas are organized around a prominent descending pathway from L2/3{\textrightarrow}L5, suggesting that sensory cortices are elaborations on a basic motor cortex-like plan.</p>
},
	keywords = {Animals, Brain Mapping, Mice, Motor Cortex, Nerve Net, Presynaptic Terminals, Somatosensory Cortex, Vibrissae},
	issn = {1545-7885},
	doi = {10.1371/journal.pbio.1000572},
	author = {Hooks, B M and Hires, S Andrew and Zhang, Ying-Xin and Huber, Daniel and Petreanu, Leopoldo and Svoboda, Karel and Shepherd, Gordon M G}
}
@article {4288,
	title = {Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice.},
	journal = {Nature},
	volume = {464},
	year = {2010},
	month = {2010 Apr 22},
	pages = {1182-6},
	abstract = {<p>Cortical neurons form specific circuits, but the functional structure of this microarchitecture and its relation to behaviour are poorly understood. Two-photon calcium imaging can monitor activity of spatially defined neuronal ensembles in the mammalian cortex. Here we applied this technique to the motor cortex of mice performing a choice behaviour. Head-fixed mice were trained to lick in response to one of two odours, and to withhold licking for the other odour. Mice routinely showed significant learning within the first behavioural session and across sessions. Microstimulation and trans-synaptic tracing identified two non-overlapping candidate tongue motor cortical areas. Inactivating either area impaired voluntary licking. Imaging in layer 2/3 showed neurons with diverse response types in both areas. Activity in approximately half of the imaged neurons distinguished trial types associated with different actions. Many neurons showed modulation coinciding with or preceding the action, consistent with their involvement in motor control. Neurons with different response types were spatially intermingled. Nearby neurons (within approximately 150 mum) showed pronounced coincident activity. These temporal correlations increased with learning within and across behavioural sessions, specifically for neuron pairs with similar response types. We propose that correlated activity in specific ensembles of functionally related neurons is a signature of learning-related circuit plasticity. Our findings reveal a fine-scale and dynamic organization of the frontal cortex that probably underlies flexible behaviour.</p>
},
	keywords = {Animal, Animals, Axonal Transport, Behavior, Chemical, Choice Behavior, Inbred C57BL, Learning, Male, Mice, Motor Cortex, Motor Neurons, Neural Pathways, Odors, Pyramidal Cells, Reward, Stimulation, Time Factors, Tongue},
	issn = {1476-4687},
	doi = {10.1038/nature08897},
	author = {Komiyama, Takaki and Sato, Takashi R and O{\textquoteright}Connor, Daniel H and Zhang, Ying-Xin and Huber, Daniel and Hooks, Bryan M and Gabitto, Mariano and Svoboda, Karel}
}
