Carlos Lois

The paper shows that mice retain spatial memory in the hippocampus after long absences, with neural patterns persisting despite changes in individual neuron activity.

The paper shows that reliable motor sequences can maintain timing stability while allowing flexible neuronal participation in zebra finch songs.

This paper introduces a regenerative molecular recording system called hypercascade that enables deep lineage reconstruction by maintaining a constant mutation rate over time.

Synaptic MEMOIR maps individual synapses in neuronal projections using protein barcodes, enabling single-synapse resolution in large brain volumes without high-resolution imaging.

The paper shows that short disordered peptides can convert proteins into mechanosensors that respond to cellular forces, expanding the known mechanisms of mechanosensing.

This study shows that projection neurons are necessary for maintaining the stability of the adult mouse olfactory circuit, as their removal leads to structural changes in the olfactory bulb despite preserved odor detection.

The paper shows that songbirds can recover from large-scale neuronal perturbation through unsupervised homeostatic mechanisms, with songs reverting to normal through saltatory recovery.

This paper introduces baseMEMOIR, a method that reconstructs high-resolution cell lineage trees and spatial dynamics using base editing and imaging, achieving 792 bits of memory in embryonic stem cells.

This study shows that a learned motor behavior can recover after chronic disruption of inhibitory circuits, with neuronal activity permanently altered but song recovery possible without relying on learning circuits.

A new genetic editing system termed intMEMOIR reveals the lineage histories of individual cells directly within their native tissue context.

The paper investigates whether lineage regulates synaptic connectivity between olfactory sensory neurons and projection neurons in the mouse olfactory bulb, finding that lineage does not determine this connectivity.

The paper shows that neuronal representations in synchronized networks remain stable over weeks, even after damage or no training.

The paper investigates rapid transcriptional and post-transcriptional changes in neuronal activity in vivo using RNA-Seq, finding rapid transcriptional responses but no global changes in alternative splicing.