Péter Jónás

The paper identifies two molecularly distinct subtypes of CA3 pyramidal neurons in mice and humans, revealing their unique anatomical and functional roles in hippocampal circuits.

This paper uses cerebral organoids to model Tuberous Sclerosis Complex and identifies mechanisms of neural activity changes in epileptogenesis, showing potential for drug testing.

This study identifies unique connectivity and synaptic rules in human hippocampal CA3 circuits that enhance associative memory capacity compared to rodents.

The paper demonstrates that presynaptic cAMP-PKA-mediated potentiation increases synaptic vesicle pool size and channel-vesicle coupling at hippocampal mossy fiber boutons.

The paper revises the classical trisynaptic view of the hippocampus by showing CA3 pyramidal neurons form distinct subclasses with asymmetric connectivity and interneuron innervation.

This paper introduces a method for saturated reconstruction of living brain tissue using advanced imaging and deep learning to achieve high-resolution, volumetric analysis of neural structures over time.

The paper validates the Keiding model for estimating 3D particle size and density from 2D projections using electron-tomography data and shows it provides accurate estimates under various conditions.

The paper identifies a two-pool mechanism in medial habenula terminals where GABAB receptor activation increases the readily releasable pool and alters vesicle coupling distances.

The paper develops a high-throughput method for producing improved rabies viral vectors with enhanced titer, selectivity, and efficiency for transsynaptic labeling in neuronal circuits.

The paper introduces CATS, a method to map brain tissue architecture across scales, demonstrating its application to hippocampal mossy fiber circuitry.

This study identifies a functional role for entorhinal layer 6b subplate neurons in spatial learning and memory by showing their connectivity and impact on hippocampal activity.

This study develops a full-scale dentate gyrus network model to show that PV+ interneurons enable efficient pattern separation through lateral inhibition and fast signaling.

This study investigates presynaptic short-term plasticity at hippocampal mossy fiber synapses, finding that post-tetanic potentiation (PTP) is input-specific and anti-associative, with postsynaptic factors influencing its induction.

The paper investigates how GABAB receptor auxiliary subunits modulate Cav2.3-mediated neurotransmitter release in medial habenula terminals, revealing their role in synaptic strength regulation.

The paper introduces MOD, a machine learning method for detecting subthreshold synaptic events, which outperforms existing methods in accuracy and efficiency.