bioRxiv Science⌕ Search

Biology subjects

Sikkens, T.

Publications and source records attributed to Sikkens, T..

2 recordsLinked to original sources

Switches in Orientation Coding by Mouse Primary Visual Cortex Neurons Depend on Stimulus Predictability.

How the brain processes a stimulus depends on contextual factors, such as whether it is predictable or surprising. While this process has been partially characterized using EEG and fMRI, and invasive cellular approaches, the microcircuit mechanisms responsible for comparing sensory input and expectations remain poorly understood. Here, we combined layer-resolved recordings of single-unit activity and local field potentials (LFP) in mouse primary visual cortex (V1) with a visual oddball paradigm using oriented gratings. Both event-related potentials and firing rates exhibited distinct temporal components across cortical layers and trial types. We identified robust stimulus-specific adaptation (SSA), mismatch negativity (MMN), and deviant detection (DD) contrast at both early and late epochs. Surprisingly, a substantial subset of excitatory neurons exhibited complete reversals of orientation preference ("preference switches") between standard and deviant trials, rather than only changes in selectivity. These preference-switching cells were primarily observed in layers 2/3 and 5/6 and contributed as much information to stimulus decoding as stably tuned neurons. Our findings demonstrate that context-dependent flexibility in feature preference is an integral part of predictive coding in V1 and challenge the notion of fixed stimulus representations at the single-neuron level.

neuroscience↗

Spontaneous Variations in Arousal Modulate Subsequent Visual Processing and Local Field Potential Dynamics in the Ferret during Quiet Wakefulness

Behavioral states affect neuronal responses throughout the cortex and influence visual processing. Quiet wakefulness (QW) is a behavioral state during which subjects are quiescent, but awake and connected to the environment. Here, we examined the effects of pre-stimulus arousal variability on post-stimulus neural activity in primary visual cortex (V1) and posterior parietal cortex (PPc) in awake ferrets, using the pupil diameter as an indicator of arousal. We observed that during low arousal, low- frequency power increases during visual stimulation, and that the peak alpha frequency shifted depending on the arousal state. High arousal increased gamma power as well as low-frequency inter- and intra-areal coherence. Using a simplified model of laminar circuits, we show that this connectivity pattern is compatible with feedback signals targeting infragranular layers in area PPc and supragranular layers in V1. Neurons in V1 displayed higher firing rates at their preferred orientations on high-arousal trials. Broad-spiking cells in V1 entrained to high-frequency oscillations (>80 Hz), whereas narrow-spiking neurons phase-locked to low (12-18 Hz) and high-frequency (>80 Hz) rhythms. These results indicate that the variability and sensitivity of post-stimulus cortical responses and coherence depend on the pre-stimulus behavioral state and account for the neuronal response variability observed during repeated stimulation.

neuroscience↗