Ryszard Auksztulewicz

The paper investigates how learned auditory predictability affects depth-resolved functional coupling between hippocampal subfields and cortical regions using 7T fMRI.

This paper introduces a model that performs exact Bayesian inference over a discrete state space using a local Hebbian rule, demonstrating its ability to account for perception and decision-making under noise.

The paper compares predictive, contrastive, and supervised learning in neural networks to understand human brain representations and finds predictive learning better models brain activity.

This paper constructs a probabilistic atlas of the human thalamic reticular nucleus using 7T MRI, showing high consistency with postmortem data.

This study uses laminar fMRI to investigate predictive auditory processing in human cortical layers, showing hierarchical organization of prediction violations and their association with specific cortical layers.

This study investigates the dynamic effects of expectation during statistical learning, finding dissociable patterns in decoding accuracy within and across trials that support the opposing process theory.

This study shows that older adults have slower anticipatory postural adjustments and reduced belief updating during gait initiation, suggesting cognitive control changes contribute to age-related mobility declines.

This study investigates implicit memory for reoccurring sound patterns using UHF fMRI, finding that reoccurrence enhances perceptual precision and engages specific brain regions.

This paper shows that predictive coding-inspired neural networks exhibit brain-like behaviors such as mismatch responses and prior formation, suggesting they can model biological neural networks.

The paper investigates how 'what' and 'when' predictions interact in speech processing using MEG, finding that their integration is mediated by a shared cortical network rather than separate hierarchies.

This study investigates hierarchical prediction error signaling in the auditory cortex of awake mice by comparing responses to simple and complex sound pattern violations.

This study shows that multimodal acoustic-electric trigeminal nerve stimulation improves conscious tactile perception in healthy humans through interplay between acoustic and electric stimulation and correlates with neural connectivity changes.

This study investigates how reward-associated visual and auditory stimuli modulate visual cortex using fMRI, finding distinct neural pathways for each modality.

The paper investigates how audiovisual coherence and auditory selective attention interact neurophysiologically, finding dissociable effects on ERP amplitude.

This study investigates how 'what' and 'when' predictions modulate auditory processing in different contexts, finding context-specific interactions and shared neural mechanisms.

This study decodes mnemonic and predictive representations in the auditory cortex of anesthetized rats using ECoG during stimulus sequences with noise bursts or omissions, showing they arise from overlapping but independent neural populations.

The paper investigates omission responses in rat auditory cortex using extracellular recordings and finds they occur in local field potentials and multiunit activity but not in spiking activity.

This study shows that the precedence effect in spatial hearing develops at the cortical population level but not at individual neuron sites in rats.

The paper uses dynamic causal modelling to show the auditory system processes nested sound patterns across three timescales by adjusting neural connectivity based on learned regularities.

The paper investigates neural correlates of auditory pattern learning in anesthetized rats using electrocorticography, finding decreased beta band activity for familiar reference sequences compared to novel sequences.

The paper investigates how spontaneous neural oscillations affect behavior and sensory processing by modulating neuronal excitability during an auditory task.

The paper investigates whether mismatch negativity (MMN) responses differ based on acoustic feature changes, finding no significant differences in univariate analysis but multivariate decoding of features from MMN topography.

The paper shows that temporal patterns learned in one sensory modality can be transferred to another, with distinct neural mechanisms observed in EEG responses.

This study identifies dissociable neural effects of temporal expectations based on passage of time and contextual probability using MEG data from auditory stimuli.

This study investigates the effects of NMDAR blockade with ketamine on auditory processing using a roving oddball paradigm and dynamic causal modelling, finding selective prefrontal disinhibition.