Iván Soltész

This paper introduces LATeNT, a light-activated tetanus neurotoxin that enables conditional proteolysis and inducible synaptic inhibition in vivo, with applications in neuroscience and beta cell function.

This study shows that microcircuit-specific inhibition in the hippocampus can drive epileptiform activity, highlighting the role of cellular-level organization in epilepsy.

The paper introduces LIVN, an open-source simulation environment for developing and testing machine learning models to control in vitro neural networks using synthetic data with ground truth.

The paper introduces LoCS-Net, a convolutional spiking neural network for visual place recognition that outperforms state-of-the-art methods in efficiency and accuracy.

The paper introduces synthetic GPCRs that can be programmed to control cell behavior in response to specific antigens, using modular design for versatile applications.

This paper shows that inhibitory plasticity during hippocampal replay helps infer world structure, with predictions about its impact on cognition and disease.

The paper shows that constraints on neural network dynamics in a hippocampal model enable flexible offline memory replay of sensory sequences.

The paper describes the Neurodata Without Borders (NWB) ecosystem, which enables FAIR neurophysiological data management and analysis across species and modalities.

This study shows that bidirectional synaptic plasticity modifies hippocampal place fields by adjusting synaptic weights based on temporal proximity and current synaptic strength.

The paper introduces a genetically encoded fluorescent sensor, GRABeCB2.0, to measure endocannabinoid dynamics with high spatiotemporal resolution in vitro and in vivo, revealing new insights into eCB signaling in neurons and brain regions.

The paper introduces a computational framework for building and simulating large-scale biophysical neuronal networks, demonstrating its application to a rat dentate gyrus model with biologically plausible activity.

The paper identifies superhub cells in neural networks that, when targeted, more effectively stabilize epileptic networks compared to traditional hub cells.

The paper identifies SuML-DG neurons that modulate theta and gamma oscillations in the dentate gyrus during REM sleep and other vigilance states.

This study investigates the role of postictal hypoperfusion/hypoxia in memory impairments after seizures, finding that synaptic plasticity is specifically affected while other network functions remain intact.

This study investigates how adult-born granule cells contribute to epileptic network activity in the dentate gyrus using in vivo calcium imaging and neural topic modeling.

Version 2.0 of the Neurodata Without Borders neurophysiology format centres on the schema, with an accompanying software stack and community aimed at making recordings easier to reuse.

The paper develops a full-scale model of the rodent CA1 circuit to study interneuronal mechanisms of hippocampal theta oscillations and identifies key interneuronal types involved.

SimTracker is a tool for managing and analyzing neural network simulations in NEURON, supporting parallel execution and aiding iterative model development.