Mikael Lundqvist

The paper shows that recurrent interactions between the olfactory bulb and piriform cortex in humans maintain perceptual continuity by integrating sensory information across successive sniffs.

The paper investigates the dimensionality of prefrontal cortex representations during working memory and finds they are low-dimensional, compressed compared to visual inputs.

The paper introduces SPOOCs, spatially organized oscillatory cliques, and provides a tool to detect and analyze transient population dynamics in electrophysiological recordings.

This study shows that traveling waves emerge in neural networks under biologically plausible constraints and support working memory, matching primate cortex recordings.

The paper tests the Spatial Computing hypothesis by analyzing alpha/beta oscillations in non-human primates, finding they organize task-related information and constrain sensory expression in space.

This study uses computational modeling and EEG/ERP data to compare neural dynamics of self-initiated and externally triggered actions, finding distinct preparatory patterns in prefrontal areas.

The paper shows that after distractions, neural activity in the prefrontal cortex returns to pre-disruption patterns through state-space rotations and traveling waves.

This study evaluates EBG signal quality across different methodological configurations, finding that subject-specific setups improve signals but template-based methods also yield significant results.

The paper shows that the olfactory bulb and cortex use oscillatory dynamics to reflect perceived odor intensity rather than physical concentration.

This study challenges the traditional view of pupillary changes during respiration, showing pupils are smallest at inhalation onset and largest during exhalation across multiple conditions.

The paper reconciles discrepancies between human and non-human primate studies by showing alpha and beta bursts have distinct roles in human working memory, with region-specific functions.

This study investigates how propofol-induced loss of consciousness affects neural oscillations and spiking activity in monkeys during auditory processing, finding disrupted alpha/beta inhibition and enhanced gamma/spiking.

The paper investigates neural activity during spatial updates in working memory, finding that contralateral delay activity reverses polarity with object location changes.

This study identifies the timing, frequency bands, and direction of odor valence communication between the olfactory bulb and piriform cortex using human neural activity and valence ratings.

This study shows that short-term synaptic plasticity (STSP) improves the robustness and brain-like behavior of artificial recurrent neural networks in working memory tasks.

This study shows that crows exhibit gamma and beta oscillations in their endbrain during a working memory task, similar to primates, despite lacking a cortical structure.

The paper analyzes spiking and LFP data from monkey prefrontal cortex to show task-related reductions in spike variability can co-exist with intermittent spiking.

The paper shows that prefrontal cortex oscillations form traveling waves in theta, alpha, and beta bands, which change during working memory tasks.

The paper shows that odor identity can be decoded from bidirectional oscillatory communication between the olfactory bulb and piriform cortex in humans.

This study investigates how propofol induces unconsciousness in non-human primates and how thalamic stimulation reverses its effects by altering neural activity patterns.

The paper shows that visual working memory is transferred between hemispheres through neural activity changes and increased synchrony during a saccade.

The paper proposes spatial computing as a mechanism for WM control, finding low-dimensional spatial activity that encodes control-related information in prefrontal cortex.

The paper investigates predictive coding in the brain by analyzing neural activity patterns in different cortical areas during a visual task, finding distinct frequency-specific routing mechanisms.

The paper uses control theory to analyze stability mechanisms in recurrent neural networks, identifying synaptic plasticity and balance as key factors for stable dynamics.

The paper examines oscillatory dynamics across different cortical areas in monkeys, finding that frequencies increase with cortical hierarchy while maintaining similar relationships to spiking activity.

The paper uses control theory to analyze stability mechanisms in neural networks, identifying anti-Hebbian plasticity and synaptic sparsity as key factors for maintaining stable dynamics.

The paper examines gamma and beta oscillations during working memory tasks in monkeys, finding that changes in their balance correlate with information processing and behavioral outcomes.