Christian Leibold

The paper develops a differential geometric framework to analyze how neural manifold geometry is shaped by feedforward and recurrent connectivity, showing feedforward connectivity determines representational geometry.

This study compares two place field detection methods in mouse dCA1 data and finds that they yield different proportions of place cells with varying stability and drift rates.

This study shows that task representations in the mPFC form de novo during learning, with neural sequences involved in evaluating outcomes rather than planning actions.

This study investigates the roles of HCN1 and HCN4 in synchronizing sinoatrial pacemaker cells, finding HCN1 is essential for fast synchronisation while HCN4 is not.

The paper presents a computational model of the inferior colliculus that optimizes sound source separation using interaural time differences by adjusting synaptic delays and strengths.

This study investigates how prefrontal cortex subsections interact during motor inhibition in rats using optogenetics and electrophysiology, finding that the prelimbic cortex acts as an input-dependent switch modulated by the infralimbic cortex.

The paper shows that low-rate hippocampal activity during brief intervals encodes sensory-motor experience in rodents, present in both working and non-working memory tasks.

This study shows that spiking activity in the mouse thalamus is coupled to pupil dynamics across multiple timescales, revealing distinct spiking patterns linked to different phases of pupil dynamics.

The paper investigates how brain state affects spatial tuning in auditory cortex neurons, finding distinct coding regimes under anesthesia, wakefulness, and task engagement.

This study identifies distinct spatial maps and multiple object codes in the lateral entorhinal cortex, showing both separate and conjunctive coding of space and objects.

The paper proposes a computational model of hippocampal circuits that explains how extrinsic and intrinsic theta sequences encode 2D spatial information and support memory formation.

This paper proposes a theory linking episodic memory to neural kernels and introduces a recursive support vector regression model to capture temporal order information in neuronal activity.

The paper investigates the relationship between directional rate codes and theta sequence directionality in hippocampal place cells, finding that rate and spike timing codes are related with distinct effects in different subregions.

The paper shows that grid cell patterns in mammals are influenced by environmental boundaries and can be explained by a feedforward model with feedback inhibition, suggesting a Turing pattern formation mechanism.

The paper proposes a computational model using hippocampal sequences to navigate unknown mazes based on landmarks, showing improved navigation through replay periods.

The paper proposes a theory on how spike-timing correlations in hippocampal neurons generate hexagonal grid fields through synaptic plasticity and pattern formation mechanisms.