Topic: laminar recordings

Cortical dynamics obey a 1/f power law, exhibiting an exponential decay of spectral power with increasing frequency. The slope and offset of this 1/f decay reflect the timescale and magnitude of aperiodic neural activity, respectively. These properties are tightly linked to cellular and circuit mechanisms (e.g. excitation:inhibition balance and firing rates) as well as cognitive processes (e.g. perception, memory, and behavioral state). However, the physiology underlying the 1/f power law in cortical dynamics is not well understood. Here, we compared laminar recordings from human, macaque and

Intrinsic timescales of neurons represent their temporal receptive fields. They inform on the position of the area they were recorded from in the cortical hierarchy and reflect information encoding dynamics. Using laminar recordings, here we investigate the differences of intrinsic timescales between dorsal premotor (PMd) and primary motor (M1) cortex, and across cortical depth, during a visuomotor delayed reaching task in two macaques. For each neuron, autocorrelograms computed from interspike intervals were fitted with an exponential function to estimate the time decay constant (𝜏) as a meas

The brain processes information by transforming sensory influx into perceptual representations to update its evaluation of the outside world and decide on adequate actions to perform. How neuronal activity encodes such an information is a question that lies at the core of neuroscience. Pioneer insights demonstrated variation of neuronal firing rate in the motor cortex depending on a preferred direction of movement, as well as tuning curves in the visual system. This classical view of the so-called “neural coding” emphasize the importance of information carried by changes in the neuronal rate a

Neural oscillations play a crucial role in various cognitive processes within the mammalian brain. Beyond the spectral properties typically reported in the literature, the waveform shape of oscillatory activity offers valuable insights into local physiology, and is related to the underlying cortical circuitry and to dynamically changing or aberrant cortical states. Notwithstanding the importance of oscillatory waveform shape to gain insights into cortical physiology, how the waveform shape of ongoing oscillations differs across distant yet functionally and anatomically connected cortical areas