Sleep has been described in animals ranging from worms to humans. Yet the electrophysiological characteristics of brain sleep, such as slow-wave (SW) and rapid eye movement (REM) activities, are thought to be restricted to mammals and birds. Recording from the brain of a lizard, the Australian dragon Pogona vitticeps, we identified SW and REM sleep patterns, thus pushing back the probable evolution of these dynamics at least to the emergence of amniotes. The SW and REM sleep patterns that we observed in lizards oscillated continuously for 6 to 10 hours with a period of ~80 seconds. The networks controlling SW-REM antagonism in amniotes may thus originate from a common, ancient oscillator circuit. Lizard SW dynamics closely resemble those observed in rodent hippocampal CA1, yet they originate from a brain area, the dorsal ventricular ridge, that has no obvious hodological similarity with the mammalian hippocampus.

Origin of sharp waves during slow-wave sleepSWRs occured reliably in the DVR during slow-wave sleep, and slowwave sleep alternated regularly with REM sleep (Fig. 1a-c, Extended Data Fig. 1), as reported previously 3 . High-frequency ripples (around 70-150 Hz) rode on each sharp wave and contained action potentials. Local field potentials (LFPs) were highly correlated across DVR recording sites (peak correlation 0.74 over 18 h of slow-wave sleep, mean over two animals), but sharp waves that were recorded in the anterior medial pole of the DVR (amDVR) preceded their counterparts in more posterior or more lateral regions by up to 200 ms depending on the spacing between recording sites (Fig. 1d, e, Extended Data Fig. 1g, h), suggesting SWR propagation.We next recorded from thick anterior transverse, horizontal and parasagittal slices of DVR in artificial cerebrospinal fluid solution (ACSF) (Methods, Extended Data Fig. 2a-f). All configurations produced

Summary Few animals provide as objective a readout of their perceptual state as camouflaging cephalopods. Their skin display system includes an extensive array of pigment cells (chromatophores), each activated by radial muscles controlled by motoneurons. If one could track the individual expansion states of the chromatophores, one would obtain a quantitative description—and potentially even, a neural description by proxy— of the perceptual state of the animal in real time. We developed computational and analytical methods to achieve this in behaving animals, quantifying the state of tens of thousands of chromatophores at sixty frames per second, single-cell resolution, and over weeks. We could infer a statistical hierarchy of motor control, reveal an underlying low-dimensional structure to pattern dynamics, and uncover rules governing skin pattern development. This approach provides an objective description of complex perceptual behaviour, and powerful means to uncover organizational principles underlying neural systems function, dynamics, and morphogenesis.

Four of the five major sensory systems (vision, olfaction, somatosensation, and audition) are thought to use different but partially overlapping sets of neurons to form unique representations of vast numbers of stimuli. The only exception is gustation, which is thought to represent only small numbers of basic taste categories. However, using new methods for delivering tastant chemicals and making electrophysiological recordings from the tractable gustatory system of the moth Manduca sexta, we found chemical-specific information is as follows: (1) initially encoded in the population of gustatory receptor neurons as broadly distributed spatiotemporal patterns of activity; (2) dramatically integrated and temporally transformed as it propagates to monosynaptically connected second-order neurons; and (3) observed in tastant-specific behavior. Our results are consistent with an emerging view of the gustatory system: rather than constructing basic taste categories, it uses a spatiotemporal population code to generate unique neural representations of individual tastant chemicals.