Ivan Raikov

LIVN: A testbed for learning to interact with in vitro neural networks

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.

LoCS-Net: Localizing Convolutional Spiking Neural Network for Fast Visual Place Recognition

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.

Towards a general framework for modeling large-scale biophysical neuronal networks: a full-scale computational model of the rat dentate gyrus

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.

Maximally selective single cell target for circuit control in epilepsy

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

Interneuronal mechanisms of hippocampal theta oscillation in a full-scale model of the rodent CA1 circuit

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 tool and code template to design, manage and analyze neural network model simulations in parallel NEURON

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