The cerebral cortex houses our mental functions like perception, cognition and action. Despite major advances in discovering the properties of single cells and molecular-level processes, we still do not know how the cortex works at the circuit level. The essence of the problem lies in understanding how the billions of neurons communicating through trillions of connections orchestrate their activities to give rise to our mental faculties. We are far from being able to simultaneously measure the activity of all the myriads of cortical cells and assemble their physical wiring diagram (connectome). However, if there are underlying principles and rules that govern this complexity, discovering these principles provides an obvious strategy for understanding how the cortex functions. Indeed, it has been hypothesized that the cortex is composed of elementary information processing modules. For almost a century anatomists have observed remarkable regularity in the cortical microarchitecture: strings of cells derived from a common progenitor cell and having a propensity of being synaptically connected are arranged to form small columns orthogonal to the cortical surface. These microcolumns are hypothesized to be the elementary functional units of cortical circuitry. If one were able to understand their organizing principles, the task of understanding how the cortex works would be simplified immensely. Discovering the function of these elementary modules would be analogous to the discovery of the gene, which ultimately led to the molecular revolution of the 20th century. So far, these structures could not be studied in detail due to technical limitations. To understand the function of a microcolumn, it is imperative to simultaneously monitor the activity of all its constituting neurons in vivo. It is our goal to overcome these technical challenges and develop in-vivo methods to study an entire microlumn. We propose to develop in vivo microscopy based on 3D random-access
| Cadwell, Cathryn R; Scala, Federico; Li, Shuang et al. (2017) Multimodal profiling of single-cell morphology, electrophysiology, and gene expression using Patch-seq. Nat Protoc 12:2531-2553 |
| Quast, Kathleen B; Ung, Kevin; Froudarakis, Emmanouil et al. (2017) Developmental broadening of inhibitory sensory maps. Nat Neurosci 20:189-199 |
| Segev, Eran; Reimer, Jacob; Moreaux, Laurent C et al. (2017) Patterned photostimulation via visible-wavelength photonic probes for deep brain optogenetics. Neurophotonics 4:011002 |
| Reimer, Jacob; McGinley, Matthew J; Liu, Yang et al. (2016) Pupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex. Nat Commun 7:13289 |
| Rossant, Cyrille; Kadir, Shabnam N; Goodman, Dan F M et al. (2016) Spike sorting for large, dense electrode arrays. Nat Neurosci 19:634-641 |
| Ecker, Alexander S; Denfield, George H; Bethge, Matthias et al. (2016) On the Structure of Neuronal Population Activity under Fluctuations in Attentional State. J Neurosci 36:1775-89 |
| Theis, Lucas; Berens, Philipp; Froudarakis, Emmanouil et al. (2016) Benchmarking Spike Rate Inference in Population Calcium Imaging. Neuron 90:471-82 |
| Yatsenko, Dimitri; Josi?, Krešimir; Ecker, Alexander S et al. (2015) Improved estimation and interpretation of correlations in neural circuits. PLoS Comput Biol 11:e1004083 |
| Jiang, Xiaolong; Shen, Shan; Cadwell, Cathryn R et al. (2015) Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350:aac9462 |
| McGinley, Matthew J; Vinck, Martin; Reimer, Jacob et al. (2015) Waking State: Rapid Variations Modulate Neural and Behavioral Responses. Neuron 87:1143-1161 |
Showing the most recent 10 out of 16 publications
