Adrien Peyrache

The paper examines altered sensory integration in a rat model of Fragile X Syndrome, finding enhanced visual capture and reduced self-motion processing in the head-direction system.

The paper shows that the head-direction system in mice maintains stable neuronal code and environment-specific mappings over several months.

The paper identifies brain regions activated by visual objects in mice and shows they modulate head direction cell activity during navigation.

This study shows that thalamic coherence in HD neurons can emerge from local processes rather than relying on LMN input during non-REM sleep.

The paper shows that coherent thalamic head direction signals from the anterodorsal nucleus influence medial entorhinal cortex coordination during wakefulness and sleep.

The paper examines the developmental changes in the head-direction signal in a rat model of Fragile X Syndrome, finding transient enhancement in juveniles followed by degradation in adulthood.

The paper examines how ACC neurons in rats respond to rule or strategy changes during learning tasks and shows that hippocampal theta and sharp-wave ripples modulate these responses differently.

The paper shows that hyperpolarization-activated currents (Ih) generate sequential neuronal activation patterns in the mouse head-direction cortex during sleep.

This paper shows that predictive learning in neural networks can generate hippocampal-like spatial representations and replay, suggesting a unifying theory for hippocampal function and AI.

Pynapple provides an open-source framework for analyzing time-resolved data in systems neuroscience, offering easy-to-use objects and methods for data manipulation and analysis.

The paper shows that blind mice maintain stable head direction cell tuning using olfactory cues, while sighted mice in darkness lose this stability, demonstrating flexible sensory strategies for spatial coding.

The paper characterizes neuronal responses to fast ripples in human epilepsy, showing local excitation and global inhibition across brain networks.

The paper shows that random connectivity in neural circuits explains the distribution of neuronal tuning curves in the cortex.

The paper identifies off-manifold coding in visual cortex during sleep, showing that stimuli are encoded in a subspace distinct from movement-related activity.

The paper investigates how excitatory and inhibitory neurons in the postsubiculum encode spatial features, finding that inhibitory neurons exhibit fine-tuned spatial frequency responses.

The paper identifies two distinct spiking modes in forebrain neurons: a universal ground state and context-dependent activated state, with implications for neuronal function.

The paper shows that head-direction cells in the anterior thalamus are stably aligned before hippocampal ripples, while other thalamic cells show diverse, cell-specific coupling to the hippocampus.

The paper introduces an open-source software suite for analyzing and managing invasive neurophysiology data, enhancing reproducibility and transparency in electrophysiology research.

The paper analyzes the population dynamics of a neural circuit to infer how it represents low-dimensional variables across different behavioral states.

The paper shows that reinforcement tagging helps maintain relevant environmental features in prefrontal cortex short-term memory during trial-and-error learning in rats.

This study shows that cocaine place conditioning enhances hippocampal inputs to the nucleus accumbens in mice, specifically strengthening synapses active during drug exposure.

The paper uses gradient boosted trees to analyze neuronal data and reveals brain-state invariant coordination in thalamo-cortical circuits during wakefulness and sleep.

The paper investigates how head-direction (HD) signals are transformed into spatial codes through integration with sensory information in the entorhinal-hippocampal system.