Topic: dendritic signals

The input-output transformation of individual neurons is a key building block of neural circuit dynamics. While previous models of this transformation vary widely in their complexity, they all describe the under-lying functional architecture as unitary, performing a single type of elementary computation, either once, or cascaded multiple times. Here, we show that the input-output transformation of CA1 pyramidal cells during phase precession in the ‘theta-state’ is instead best captured by two distinct functional architectures operating in parallel. We use statistically principled methods to f

Newly developed voltage indicators require fast scanning methods for effective signal recordings. The flexibility of AO imaging allows us to measure in a three-dimensional volume not only at the somatic level, but also the dendrites. Their high scanning frequency makes AO microscopes suitable for dendritic signal processing and plasticity research. Soma dependent and independent dendritic activities are highly investigated areas, but the spatio-temporal limitations of electrophysiology and conventional one- or two-photon devices have serious constraints when it comes to GEVI imaging. Here we s