André Longtin

This study quantifies how mice navigate an open maze by analyzing their movement and hole-checking behavior, revealing a cognitive map and learning dynamics.

The paper investigates how spatial variations in sodium channel kinetics along the axon initial segment affect backpropagation of action potentials during orthodromic and antidromic stimulation.

This paper investigates the biophysical properties of hilar mossy cells (hMCs) and develops a model to explain their adaptive spike threshold dynamics and role in pattern separation.

The paper uses an augmented integrate-and-fire model to show that the dorsal raphe network encodes both input intensity and its temporal derivative, with the derivative dominating during rapid input increases.

The paper investigates how mixed selectivity codes sensory and motor social signals in the thalamus of weakly electric fish, showing their role in social behavior and dominance.

This paper investigates the hybrid nature of task-evoked neural activity using intracranial EEG and Deep Learning LSTM models, showing that poststimulus activity is influenced more by prestimulus dynamics than the external stimulus itself.

The paper develops a computational method to estimate quantal parameters at single synapses using iGluSnFR imaging and statistical algorithms.

This paper introduces a computational model to study how demyelination affects axonal transmission and shows that spike timing jitter can indicate demyelination levels.

This paper demonstrates that electric fish use a time-stamp mechanism in the preglomerular complex to transform egocentric encounters into allocentric spatial representations through path-integration.

The paper shows that noise in dendrites can enhance information transmission in neural populations by switching leadership between dendrites and soma based on input strength.