Pawel Andrzej Herman

This study shows that NMDA receptors adjust neuronal gain across the cortical hierarchy, allowing integration of dense presynaptic inputs.

This study evaluates synergistic interactions between three short-term plasticity mechanisms in spiking neural networks to enhance working memory performance across diverse tasks.

This paper investigates neural mechanisms of cognitive flexibility and interference control using EEG in a modified Stroop task, identifying distinct neural correlates for each process.

The paper proposes a computational model to explain odor naming omissions by linking Bayesian-Hebbian learning to linguistic ambiguity in odor-label associations.

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.

The paper builds a spiking network model of rat episodic memory to study how long- and short-term synaptic plasticity interact in memory tasks.

The paper shows that decoding time and stimulus dimensionality affect the optimal shape of tuning curves, favoring single-peaked over periodic in early visual areas due to a speed-accuracy trade-off.

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.

This paper proposes a cortical spiking neural network model with Bayesian-Hebbian learning to explain semantization in episodic memory, showing it outperforms STDP in capturing decontextualization.

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 proposes a WM indexing theory using a spiking neural network model to explain how PFC associates, maintains, and updates multi-modal LTM representations through fast Hebbian plasticity.

The paper investigates how a probabilistic associative learning model can encode and reproduce temporal structures of multiple sequences, showing its robustness to noise and ability to handle overlapping sequences through modularity.

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.